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Various components of the tobacco plant (Nicotiana tabacum L.) have undergone pharmacological assessment to highlight their traditional role in addressing different health conditions. The anti-inflammatory properties of thirteen natural substances were investigated through the use of molecular docking conducted with AutoDock 4.2.6 Tools and Molecular Dynamics Simulations (MDS) executed with GROMACS 2016.3. ADME characteristics were assessed using SwissADME (absorption, distribution, metabolism, and excretion). Chlorogenic acid and rutin, plant-derived natural compounds, showed substantial binding tendencies with cyclooxygenase-1 (COX-1), phosphodiesterase-4 (PDE4), cyclooxygenase-2 (COX-2), phosphodiesterase-7 (PDE7), interleukin-17A (IL-17A), interleukin-1 beta (IL-1β), tumor necrosis factor-alpha (TNF-α), prostaglandin E2 (PGE2), and prostaglandin F synthase. Rutin emerged as the most notable among the tested compounds (docking energy: −11.0 kcal/mol against PDE7 and prostaglandin F synthase). Chlorogenic acid also displayed substantial and noteworthy binding energies of −9.4 kcal/mol with PDE4 and PDE7 receptors. Consequently, these investigated natural compounds could potentially serve as agents that reduce inflammation and require additional in vitro and in vivo studies to aid the creation of new anti-inflammatory drugs.

Helminth infections can be effectively treated with various anthelmintics. However, the potential for drug resistance and the need for repeated doses to ensure successful treatment are some limitations to the treatment. This study aimed to evaluate the ability of phytochemicals from Syzygium aqueum to inhibit ATP-dependent 6-phosphofructokinase (6-PFK) from Ascaris lumbricoides and Ascaris suum using the in silico method (molecular docking, molecular dynamics simulation, and ADMET analysis) and in vitro evaluation using mortality, paralysis, and ovicidal activity testing. Molecular docking outcomes indicated that out of 76 compounds from Syzygium aqueum, 18 molecules exhibited strong inhibition against the target enzyme, based on binding free energy and interaction patterns. Molecular dynamics simulation demonstrated that samarangenin A and butyrospermol complexes remained stable for up to 200 ns within a range below 1 nm. The most promising compounds also exhibited good ADMET properties. In the in vitro egg hatch test, a 10% concentration of Syzygium aqueum extract showed potent ovicidal properties by significantly reducing the number of fertile eggs but was less effective than 0.12% albendazole. However, ferulic acid at various concentrations exhibited minimal effect on egg fertility but showed increased mortality and incidence of paralysis at higher doses against male worms. These findings yielded valuable insights into the underlying mechanisms, providing essential clues for the development of highly efficient inhibitors for parasitic worm infections through structure-based design.

Emerging clinical observations underscore the correlation between interleukin-8 (IL-8) and rosacea. Increased IL-8 expression has been detected in rosacea samples, particularly in moderate to severe manifestations. This phenomenon has prompted the exploration of IL-8 as a prospective therapeutic target for rosacea treatment. To this end, a selection of compounds sourced from the ZINC database, encompassing six small molecules, was made with the intent of identifying promising lead candidates that exhibit drug-like characteristics against IL-8. Through an integrated in silico approach involving structure-guided drug design, encompassing molecular docking, molecular dynamics (MD) simulation, molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) analysis, protein-peptide docking, and scrutiny of toxicity profiles, it was ascertained that the small molecule ZINC000022339916 effectively inhibits IL-8 activity. These findings present a novel lead compound that warrants further validation through in vitro, in vivo, and ongoing clinical investigations to confirm its potential for therapeutic management of rosacea.

In the effort to combat SARS-CoV-2 infection, researchers are currently exploring the repurposing of conventional antiviral drugs, despite their limited efficacy. The SARS-CoV-2 virus encodes a papain-like protease (PLpro), which not only plays a crucial role in viral replication but also cleaves ubiquitin and interferon-stimulated gene 15 protein (ISG15) from host proteins, making it a prime target for the development of new antiviral medications. In this study, we conducted a multi-step in silico screening to identify novel, noncovalent PLpro inhibitors. Curcumin, an antioxidant derived from turmeric rhizomes (Curcuma longa L.), has undergone extensive preclinical investigations and shown significant efficacy against viruses and other ailments in both laboratory and animal studies. However, the pharmacological limitations of curcumin have prompted the synthesis of numerous novel curcumin analogs, necessitating evaluation for their therapeutic potential. The selectivity of the top-scoring compounds was assessed through molecular docking studies and molecular dynamics simulations to determine their binding affinity to PLpro. As a result, we identified 20 potential, selective PLpro inhibitors, from which the top two compounds (THA111 and THHGV6) were selected based on their binding free energy values towards PLpro as estimated by MM-PBSA calculations. These selected candidates demonstrate promising activity against the protein, with binding free energy values ranging from approximately −105 to −108 kJ/mol, and largely adopt a similar binding mode to known noncovalent SARS-CoV-2 PLpro inhibitors (GRL0617 = −100.98 kJ/mol). We further propose these two most promising compounds for future in vitro evaluation. The findings for the top potential PLpro inhibitors have been deposited in a database (Curcumin Research Center) to aid research on anti-SARS-CoV-2 drugs.

Background: Alpha mangostin (AM) has demonstrated significant potential as an anticancer agent, owing to its potent bioactivity. However, its clinical application is limited by poor solubility, which hampers its bioavailability and effectiveness. Amorphous solid dispersion (ASD) presents a promising technique to enhance the solubility and stability of AM. Molecular dynamics simulation offers a rapid, efficient, and precise method to evaluate and optimize ASD formulations before production. Aim of Study: In this study, we conducted molecular dynamics simulations to explore the ASD development of AM with poloxamer and pullulan. Result: Our results revealed that AM–poloxamer complexes exhibit superior interaction characteristics compared to AM–pullulan, with a 1:5 ratio of AM to poloxamer and a cooling rate of 1 °C/ns demonstrating the most favorable outcomes. This combination showed enhanced hydrogen bonding, a more compact molecular structure, and higher stability, making it the optimal choice for ASD formulation. Conclusion: The integration of molecular dynamics simulation into ASD development significantly accelerates the formulation process and provides critical insights into achieving a stable and effective AM dispersion. The AM–poloxamer complex, particularly at a 1:5 ratio with a 1 °C/ns cooling rate, offers the best potential for improving AM solubility and therapeutic efficacy.

The EGFR-C797S resistance mutation to third-generation drugs has been overcome by fourth-generation inhibitors, allosteric inhibitors, namely EAI045 and has reached phase 3 clinical trials, so the Allosteric Site is currently an attractive target for development. In this study, researchers are interested in knowing the activity of metabolite compounds from marine natural ingredients Clathria Sp. against the Allosteric Site of EGFR computationally. The methods used include molecular docking using Autodock4 software and Molecular Dynamics simulation performed using GROMACS software. The research began with the preparation of metabolite samples from Clathria Sp. through the KnapSack database site and the preparation of EGFR receptors that have been complexed with allosteric inhibitors, namely proteins with PDB code 5D41. Each compound was docked to the Allosteric Site of the natural ligand and then molecular dynamics simulations were performed on the compound with the best docking energy compared to the natural ligand. From the docking results, the Clathrin_A compound showed the lowest binding energy compared to other metabolites, and the value was close to the natural ligand. Then from the molecular dynamics results, the clathrin_A compound shows good stability and resembles the natural ligand, which is analyzed through RMSD, RMSF, SASA, Rg, and PCA, and shows the binding free energy from MMPBSA analysis which is close to the natural ligand. It can be concluded, Clathrin_A compound has potential as an allosteric inhibitor.

The growth of micro-organisms that acquire resistance to most commercially available antibiotics is occurring rapidly. Consequently, a pressing necessity exists to identify and detect new antimicrobial substances. This study aimed to analyze the antioxidant and antibacterial activity of nanoemulsion clove extract and grape seed oil. This research was conducted in June 2023 using experimental methods at the Research Laboratory of the Universitas Islam Bandung Pharmaceutical Study Program by developing a nanoemulsion preparation containing clove extract (Syzygium aromaticum L.) and grape seed oil (Vitis vinifera L.). Antioxidant activity was tested using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) method. Antibacterial activity was tested using the agar diffusion method by measuring the growth inhibitory diameter of Staphylococcus aureus and Streptococcus mutans bacteria and divided into four groups formulas based on the addition of clove extract with different concentrations in the nanoemulsion base (FA=0.25%, FB=0.5%, FC=0.75%, and FD=1%) to see the best results. The result shows nanoemulsion preparations have antioxidant properties in the DPPH test. The FA formula has the highest IC50, namely 1,117.56 ppm. The antibacterial activity of Staphylococcus aureus and Streptococcus mutans has an inhibition zone, although it is still in the category of inhibiting bacterial growth, but does not kill growth. The nanoemulsion formulation, comprising clove extract and grape seed oil, has exhibited exceptional antioxidant properties and substantial antimicrobial efficacy against prevalent oral bacterial strains.

The human body naturally has an antioxidant system to counteract free radical reactivity in a sustainable manner, but if the number of free radicals in the body is excessive, additional antioxidants are needed from food intake, namely vitamin C, vitamin E, carotenes and flavonoids. One plant that has the potential as an antioxidant is Ziziphus spina-christi (ZSC) because it contains phenolics and flavonoids. This study aims to determine the flavonoid content both qualitatively and quantitatively and to test the antioxidant activity of ZSC leaf extract using in vitro and in silico attenuation methods. Determination of the total flavonoid content of ZSC leaf extract using a comparison of quercetin. In vitro the antioxidant activity assay of ZSC leaf extract was carried out by measuring the reducing activity of ZSC leaf extract against the radical DPPH using ascorbic acid as a comparison, while the in silico method used QSAR and pharmacophore modelling techniques. The results showed that the total flavonoid content obtained from ZSC leaf extract was 0.2515 ± 0.0013 mg QE/g D.W with an IC50 of 58.9296 ppm. Furthermore, from the in silico method using pharmacophore modeling and QSAR techniques, 8 hit compounds were obtained from the content of ZSC with IC50 QSAR ranging from 6.57 μM to 0.0004 μM, which was thought to be the metabolite that had the most role in its antioxidant activity. This value indicates that ZSC leaf extract has potential as a very strong antioxidant. ZSC leaf extract can be used as an antioxidant candidate in drug and cosmetic preparations through the oral or percutaneous route. It also proves that QSAR and pharmacophore modelling techniques can be used as confirmatory tests for in vitro results in determining the antioxidant activity of natural materials.

Coronavirus 19 (COVID-19) is still a global health issue to date, SARS-CoV-2 is a novel coronavirus that is responsible for this sickness. The receptor-binding domain of the SARS-CoV-2 virus associates with angiotensin-converting enzyme 2 (ACE-2) and allows the virus to enter human cells. Natural peptides such alpha-defensin are thought to attach to the SARS-CoV-2 RBD and prohibit it from engaging with ACE-2. Molecular dynamics simulations using a computational approach are utilized to understand the stability of six alpha-defensin macromolecules using the Gromacs 2016 software. The trajectories formed are then analyzed using VMD 1.9.4 and BIOVIA Discovery Studio 2020 software. Finally, the free energy is estimated using the MM/PBSA method. The alpha-defensins 2 macromolecules were found to have the best stability based on numerous study results (trajectory visualization, RMSD, RMSF, and free energy calculations). As a result, these macromolecules could be used to build new antiviral treatments for COVID-19 infectious disease candidates.

As the Seram Laut Island (SLI) community relies on coral fish resources, changes in coral fish populations will impact their income and nutritional needs. This research aimed to investigate the SLI ecosystem's status using risk score indicators and the management implications for the sustainability of the coral fish fishery ecosystem. This research used the tier 2 approach semiquantitative ecosystem-based fishery assessment (EBFA) method based on a risk score of 0 to 3, with four objectives: sustainability, habitat, biodiversity, and socio-economy. Several high-risk scores in the red zone were found in the fishing efforts indicator of Lethrinus obsoletus, Siganus canaliculatus, and Cephalopolis miniata, catch per unit effort (cpue) indicator of S. canaliculatus, maturity proportion, and fishing gear impact of L. obsoletus and S. canaliculatus and habitat quality indicator of S. canaliculatus. Coral fish's species risk index (SRI) ranged from 1.28 to 1.64 (yellow zone), with L. obsoletus having the highest SRI. The coastal of SLI's ecosystem risk index was in the limited range (yellow zone). For ecosystem sustainability, proper management should be developed with a focus on the indicators in the high-risk state (red zone) by spatial planning for coral and habitat conservation, as well as policies based on local wisdom.

Citrus peels contain various phytochemical active compounds such as flavonoids that are useful for antiaging cosmetic products. This study was conducted to identify the anti-collagenase and anti-elastase activities of flavonoid compounds in citrus peel and to determine the molecular interaction mechanism using the molecular docking method. The study was carried out through several stages, including preparation of enzyme macromolecules, preparation of flavonoid compound molecules, validation of molecular docking, identification of binding-free energy, visualization of interaction conformations, and predictions of molecular skin toxicity. The result showed that the flavonoid compounds in citrus peel (hesperidin, naringin, nobiletin, and tangeretin) could bind to collagenase and elastase enzymes. Naringin has the highest affinity for the collagenase enzyme with the binding-free energy of −9.52 kcal/mol, while nobiletin has the highest affinity for the elastase enzyme with the binding-free energy of −6.44 kcal/mol. Compared to EGCG (epigallocatechin gallate), the flavonoid compounds have a lower affinity for the collagenase enzyme but a higher affinity for elastase enzymes. Hydrogen bonds and the hydrophobic interactions dominate the interaction between citrus peel’s flavonoids against the enzymes. When applied to the skin, flavonoid compounds are predicted to have no risk of skin toxicity. The flavonoid compounds of citrus peels are expected to have anti-collagenase and anti-elastase activities.

The 2019 coronavirus pandemic disease (COVID-19) is still declared a global pandemic by the World Health Organization (WHO). Therefore, an effort that is considered effective in finding therapeutic agents is needed to prevent the spread of COVID-19 infection. One of the steps that can be chosen is by utilizing antimicrobial peptides (AMPs) from animal venom by targeting the specific receptor of SARS-CoV-2, namely the main protease (Mpro). Through this research, a computational approach will be conducted to predict antiviral activity, including protein-peptide docking using PatchDock algorithm, to identify, evaluate, and explore the affinity and molecular interactions of four types of antimicrobial peptides (AMPs), such as Mucroporin, Mucroporin-M1, Mucroporin-S1, and Mucroporin-S2 derived from scorpion venom (Lychas mucronatus) against main protease (Mpro) SARS-CoV-2. These results were then confirmed using protein-peptide interaction dynamics simulations for 50 ns using Gromacs 2016 to observe the molecular stability to the binding site of SARS-CoV-2 Mpro. Based on protein-peptide docking simulations, it was proven that the Mucroporin S-1 peptides have a good affinity against the active site area of SARS-CoV-2 Mpro, with an ACE score of −779.56 kJ/mol. Interestingly, Mucroporin-S1 was able to maintain the stability of its interactions based on the results of RMSD, RMSF, and MM/PBSA binding free energy calculations. The results of the computational approach predict that the Mucroporin-S1 peptide is expected to be useful for further research in the development of new antiviral-based AMPs for the COVID-19 infectious disease.

Tyrosinases are essential metal-containing enzymes in the biosynthesis of melanin, therefore responsible for pigmentation of the skin. The upregulation of tyrosinase enzyme activities leads to hyperpigmentation that will become a health problems and interfere psychosocially. Inhibition of tyrosinase enzyme activity, both competitive and non-competitive become widely developed for most anti hyperpigmentation agent. Natural antioxidants are one of the potential compounds for this purpose. Red grape seeds contain high levels of antioxidant compounds, such as procyanidin, prodelphinidin, and propelargonidin. In this research in silico studies, including molecular docking, molecular dynamics simulations, and toxicity predictions, were used to assess the activity of the three molecules of polyphenolic compounds on macromolecules of the tyrosinase enzyme. Molecular docking studies show that the compound propelargonidin has the highest affinity against the macromolecule of the tyrosinase enzyme, with a binding free energy value of −32.87 kJ/mol. These results were confirmed in molecular dynamics simulations that show strong interactions at the macromolecular active site of the tyrosinase enzyme. Toxicity prediction results show that the three polyphenolic compound molecules were classified in the High-Class Category, which shows that safety is not guaranteed, but is likely, not carcinogenic and nongenotoxic. Therefore, the compound propelargonidin is predicted to be able to interact strongly with the tyrosinase enzyme. The results in this research are useful for further study in the development of tyrosinase enzyme inhibitors.

Coronavirus infection (COVID-19) caused by SARS-CoV-2 appears as a pandemic that has spread to almost all countries in the world. Antiviral therapy using natural compounds is one alternative approach to overcome this infectious disease. The therapeutic mechanism is proven effective against the main protease (Mpro) of SARS-CoV-2. This research aims to perform bioinformatics studies, including ligand-docking simulations and protein-protein docking simulations, to identify, evaluate, and explore five compounds' activity on SARS-CoV-2 Mpro and their effects against Angiotensin-Converting Enzyme 2 (ACE-2). Protein-ligand docking simulations show kaempferol, flavonol, and their glycosides (Afzelin and Juglanin) and other flavonoids (Quercetin, Naringenin, and Genistein) have a high affinity towards SARS-CoV-2 Mpro. These results were then confirmed using protein-protein docking simulations to observe the ability of five compounds to prevent the attachment of ACE-2 to the active site. Based on the results of the bioinformatics studies, Quercetin has the best affinity, with a binding free energy value of −33.18 kJ/mol. The five compounds are predicted to be able to interact strongly with SARS-CoV-2. The results in this research are useful for further studies in the development of novel anti-infective drugs for COVID-19 that target SARS-CoV-2 Mpro.

The COVID-19 has spread worldwide and become an international pandemic. The promising target for drug discovery of COVID-19 was SARS-CoV-2 Main Protease (Mpro), that has been successfully crystallized along with its inhibitor. The discovery of peptide-based inhibitors may present better options than small molecules for inhibitor SARS-CoV-2 Mpro. Natural compounds have such a wide potential and still few explored, Zizyphus spina-christi is one of the medicinal plants that have many pharmacological activities and contains a peptide compound from alkaloids class, i.e. cyclopeptide alkaloids, that is interesting to explore as SARS-CoV-2 Mpro inhibitor. The compound structure was drawn and optimized using density functional theory 3-21G method. The protein chosen was the high resolution of SARS-CoV-2 MPro receptor (1.45 Å) with PDB ID: 6WNP, in complex with boceprevir. Molecular docking simulation was performed using Autodock4 with 100 numbers of GA run, the validation methods assessed by RMSD calculation. Furthermore, the prediction of pharmacological activity spectra was carried out using the PASS Prediction server. The results showed RMSD value was 1.98 Å, this docking method was valid. The binding energy of all compounds showed better results than the native ligand (Boceprevir). The in silico PASS prediction results indicated that all compounds showed antiviral activity. Some compounds showed protease inhibitory activity, i.e Ambiphibine-H, Franganine, and Mauritine-A, and the highest Pa (Predicted activity) value showed by Mauritine-A compounds. It can be concluded that the cyclopeptide compounds of Zizyphus spina-christi were indicated to have a potential as COVID-19 therapy targeting SARS-CoV-2 Mpro.

Resistensi antibiotika muncul sebagai polemik yang dapat mempengaruhi kesehatan manusia. Kemajuan teknologi membuka peluang dalam penemuan molekul senyawa baru yang mampu mencegah perkembangan mikroba patogen, seperti Pseudomonas aeruginosa yang resisten terhadap beberapa jenis antibiotika. Terapi fotodinamika dengan memanfaatkan penggunaan fotosensitizer yang berasal dari senyawa yang membentuk kompleks dengan besi merupakan salah satu pendekatan alternatif untuk mengatasi penyakit infeksi dengan risiko resistensi mikroba yang lebih rendah. Penelitian yang dilakukan secara in silico ini bertujuan untuk mengamati, mengeksplorasi, dan mengevaluasi mekanisme aksi berbasis struktural dari molekul senyawa yang membentuk kompleks dengan besi, yaitu besi-ftalosianina dan besi-salofen terhadap protein hemofor HasAp serta pengaruh molekularnya terhadap bagian situs aktif pengikatan dari protein hemofor HasR. Identifikasi interaksi molekuler dan afinitas antara molekul senyawa besi-ftalosianina dan besi-salofen terhadap protein hemofor HasAp dilakukan dengan simulasi ligan-protein docking mempergunakan software MGLTools 1.5.6 yang dilengkapi dengan AutoDock 4.2. Di samping itu, dilakukan juga simulasi protein-protein docking terhadap sistem kompleks ligan-protein untuk memastikan pengaruh molekularnya terhadap bagian situs aktif pengikatan dari protein hemofor HasR dengan mempergunakan software PatchDock. Berdasarkan simulasi ligan-protein docking diperoleh hasil bahwa senyawa besi-ftalosianina memiliki afinitas paling baik terhadap kedua protein hemofor HasAp, dengan nilai energi bebas pengikatan masing-masing sebesar −68,45 kJ/mol dan −65,23 kJ/mol. Menariknya, hasil simulasi protein-protein docking antara kompleks molekul senyawa besi-ftalosianina dan protein hemofor HasAp-besi-ftalosianina terhadap protein hemofor HasR memiliki nilai energi kontak atom yang positif sebesar 556,56 kJ/mol. Dari penelitian ini dapat diprediksikan bahwa perbedaan struktur molekul senyawa yang membentuk kompleks dengan besi mampu mempengaruhi mekanisme aksi berbasis structural terhadap protein hemofor target.

The role of in silico studies in the discovery of new drugs is very important and interesting in the recent years, where the results can be used as confirmation of the results of in vitro tests carried out experimentally in the laboratory. One of the herbal ingredients is Ziziphus spina-christi leaves with effective antibacterial activity, such as for acne-causing bacteria, namely Propionibacterium acnes. This is because it contains main secondary metabolites with saponins as the major components which contain christinin as its active compound. There are four known types of christinin, namely christinin-A, christinin-B, christinin-C, and christinin-D. In this study, the molecular interaction of the christinin compound was tested to predict its affinity for Propionibacterium acnes compared to clindamycin, as well as to determine the level of safety on the skin so that it can be applied as a topical anti-acne dosage form. In silico studies, including molecular docking and toxicity prediction, were used to assess the activity of four molecules of the christinin compound on c-Jun N-terminal kinase (JNK) macromolecules. The christinin molecules form a strong and stable molecular interaction with the active site of the binding of c-Jun N-terminal kinase (JNK) macromolecules. Interestingly, the christinin compound molecules also has a fairly good level of safety based on the three identified parameters. Based on this results christinin compound molecules has potential to be developed as c-Jun N-terminal kinase (JNK) inhibitors candidate to control of skin infections caused by Propionibacterium acnes which has potential as a topical anti-acne.

The COVID-19 pandemic has become a serious problem today, with its prevalence increasing every day. The SARS-CoV-2 main protease (MPro) is a promising therapeutic target to inhibit replicating and spreading the virus that causes COVID-19. The compounds contained in the Etlingera elatior plant has the potential. This study aimed to examine the compounds' activity in E. elatior against SARS-CoV-2 MPro using in silico methods. A total of seven compounds contained in E. elatior were obtained from the Knapsack database. The compounds were then docked into the SARS-CoV-2 MPro receptor's active site with the PDB ID 6LU7. Afterward, the biological activities were predicted by the PASS prediction webserver. The molecular docking results showed that ergosterol peroxide and sitostenone had the best binding energy with -10.40 kcal/mol and -9.17 kcal/mol, respectively. The in silico PASS prediction showed it has potential as antiviral therapy. It concluded ergosterol peroxide and sitostenone has the potential as SARS-CoV-2 MPro inhibitor candidate.

Pendahuluan: Lendir kulit ikan lele kuning (Pelteobagrus fulvidraco), mengandung peptida bioaktif dan banyak dimanfaatkan dalam pengobatan berbagai penyakit karena memiliki aktivitas biologis, diantaranya sebagai antimikroba. Beberapa peptida bioaktif tersebut, antara lain pelteobagrin, myxinidin, pleurocidin, dan pardaxin-P1 dan telah terbukti mampu menghambat Penicillin-Binding Protein 3 (PBP3) dari Staphylococcus aureus. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi aktivitas antimikroba molekul peptida bioaktif secara in silico terhadap makromolekul Penicillin-Binding Protein 3 (PBP3) dari Staphylococcus aureus dan interaksi peptida bioaktif tersebut yang terlibat dalam mekanisme aksi antimikroba. Metode: Sekuensing peptida bioaktif terlebih dahulu dilakukan pemodelan ke dalam bentuk konformasi 3D menggunakan software PEP-FOLD. Konformasi terbaik hasil pemodelan dipilih untuk kemudian dilakukan studi penambatan molekuler terhadap makromolekul dari Staphylococcus aureus menggunakan software PatchDock. Interaksi molekuler yang terbentuk selanjutnya diidentifikasi lebih lanjut menggunakan software BIOVIA Discovery Studio 2020. Hasil: Berdasarkan hasil penambatan molekuler menunjukkan bahwa peptida bioaktif myxinidin memiliki afinitas paling baik dengan ACE score −2497,26 kJ/mol. Kesimpulan: Peptida bioaktif lendir kulit ikan lele kuning (Pelteobagrus fulvidraco) dapat dipertimbangkan sebagai kandidat antimikroba alami.

Arabian bidara leaves (Ziziphus spina-christi, L.) are known to have strong antimicrobial activity against microorganisms that cause infection in the female genital area, namely Staphylococcus aureus bacteria and Candida albicans fungi. They contain main secondary metabolites such as flavonoids, alkaloids, and saponins. Christinin is a saponin glycoside derivative compound which consists of four types, namely christinin-A, B, C, and D. The role of computational studies in the discovery of new drugs is crucial and interesting nowadays because it is relatively cheap, effective, fast, and precise with a reliable level of accuracy. This computational study result will later be used to confirm in vitro test results which are carried out using experimental microbiological testing methods in the laboratory. This study identified, evaluated, and explored the interactions between christinin-A, B, C, and D compounds with Penicillin Binding Protein (PBP) from Staphylococcus aureus and Dihydrofolate Reductase from the fungus Candida albicans using computational study were carried out using the molecular docking. The christinin-A, B, C, and D compounds were modeled into 3D conformation using GaussView 5.0.8 and Gaussian09 software. The best conformation was selected for molecular interaction studies on Penicillin Binding Protein (PBP) from Staphylococcus aureus bacteria and Dihydrofolate Reductase from Candida albicans using MGLTools 1.5.6 software with AutoDock 4.2. The molecular interactions that occurred were further observed using the BIOVIA Discovery Studio 2020 software. Based on the molecular docking results, the christinin-B compound had the highest affinity for Penicillin Binding Protein (PBP) from Staphylococcus aureus bacteria, with a binding-free energy value of −7.67 kcal/mol. Meanwhile, the christinin-A compound has the highest affinity for Dihydrofolate Reductase from the fungus Candida albicans, with a binding-free energy value of −8.38 kcal/mol. Thus, it is predicted that christinin compounds can be chosen as the main component in feminine hygiene preparations to maintain the female genital area's health.

Background: The emergence of infectious diseases caused by SARS-CoV-2 has resulted in more than 90,000 infections and 3,000 deaths. The coronavirus spike glycoprotein encourages the entry of SARS-CoV-2 into cells and is the main target of antivirals. SARS-CoV-2 uses ACE2 to enter cells with an affinity similar to SARS-CoV, correlated with the efficient spread of SARS-CoV-2 among humans. Objective: In the research, identification, evaluation, and exploration of the structure of SARS-CoV and SARS-CoV-2 spike glycoprotein macromolecules and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using in silico studies. Methods: The spike glycoproteins of the two coronaviruses were prepared using the BIOVIA Discovery Studio 2020. Further identification of the three-dimensional structure and sequencing of the macromolecular spike glycoprotein structure using Chimera 1.14 and Notepad++. To ensure the affinity and molecular interactions between the SARS-CoV and SARS-CoV-2 spike glycoproteins against ACE-2 protein-protein docking simulations using PatchDock was accomplished. The results of the simulations were verified using the BIOVIA Discovery Studio 2020. Results: Based on the results of the identification of the macromolecular structure of the spike glycoprotein, it was found that there are some similarities in characteristics between SARS-CoV and SARS-CoV-2. Protein-protein docking simulations resulted that SARS-COV-2 spike glycoprotein has the strongest bond with ACE-2, with an ACE score of −1509.13 kJ/mol. Conclusion: Therefore, some information obtained from the results of this research can be used as a reference in the development of SARS-CoV-2 spike glycoprotein inhibitor candidates for the treatment of infectious diseases of COVID-19.

A pandemic coronavirus disease of 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has now been declared a global pandemic by the World Health Organization. The search for new drugs, especially by utilizing antiviral peptides is a very potential area. Through this study, protein-peptide docking and protein-protein docking simulations were conducted using in silico methods to identify, evaluate, and explore the molecular affinity and interaction of dermaseptin peptide molecules produced by frogs of the genus Phyllomedusa against the SARS-CoV-2 spike protein macromolecule, and its effect on attachment to the surface of the ACE-2 (Angiotensin Converting Enzyme-2) receptor. Protein-peptide docking simulation results show that dermaseptin-S9 peptide molecule has the best affinity to the active site of SARS-CoV-2 spike protein macromolecule binding site, with a binding free energy value of −792.93 kJ/mol. Then the results of protein-protein docking simulations proved that dermaseptin-S9 peptide molecule was able to prevent the attachment of SARS-CoV-2 spike protein to the surface of the ACE-2 receptor, with a total energy value of 517.85 kJ/mol. Therefore, it is hoped that dermaseptin-S9 peptide molecule can be further studied in the development of novel antiviral peptide candidates for the control of COVID-19 infectious disease.

Rosacea is a common chronic inflammatory skin disease characterized by flushing, transient erythema, persistent erythema, telangiectasia, papules, pustules, phymata, edema, pain, stinging, or burning, and its treatment is still being developed. Rosacea is known to be regulated by excessive activation of Kallikrein-5 (KLK5). This research aimed to discover potent compounds for rosacea therapy based on virtual screening guided by pharmacophore and molecular dynamic simulation targeting KLK5. First, we generated and validated the pharmacophore model for target using the model to screen the compounds from the ZINC database and then conducted molecular docking and molecular dynamic simulations on KLK5. The generated pharmacophore model of KLK5 inhibitor has several features, such as F1: aromatic, F2: aromatic, F3: aromatic, F4: aromatic and hydrophobic, and F5: hydrogen bonding acceptors and donors. Subsequently, we used the pharmacophore model to screen the ZINC database and obtained 102 hits. Six best hits were obtained based on the docking score of KLK5, and the molecular interactions were revealed. Furthermore, the molecular dynamic simulation was conducted for 50 ns, and the system stability was assessed via RMSD, RMSF, MM-PBSA binding free energy, Rg, SASA, and PCA analyses. ZINC000022339916 was found to exhibit better stability compared with other hit compounds, azelaic acid, and native ligand of co-crystal KLK5 inhibitor. The compound is currently in the ordering process, and the study of biological activity will be held and reported soon.

Environmental awareness is a critical component of environmental protection. The purpose of this study is to assess students’ knowledge of the environment and its influence on pro-environmental behaviour. A survey research design was employed in this study. The survey was carried out by delivering questionnaires to UMRAH students. A linear regression analysis was performed to assess the association between environmental awareness and the ability to maintain nature and the earth. According to the data collected, 67% of respondents strongly agreed and 30% agreed in the first aspect. Furthermore, 68% of respondents strongly agreed, whereas 32% agreed in the second aspect. The third aspect received 66.6% of respondents who replied highly agree and 32.2% who answered agreed, while the fourth aspect received 71.4% of respondents who said strongly agree and 28.2% who answered agreed. As a result, it can be stated that respondents believe it is critical to be environmentally conscious to protecting nature and the earth. This study demonstrates the importance of environmental awareness in protecting nature and respecting the earth’s ecology.

The recent public health crisis is threatening the world with the emergence of the spread of the new coronavirus 2019 (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This virus originates from bats and is transmitted to humans through unknown intermediate animals in Wuhan, China in December 2019. Advances in technology have opened opportunities to find candidates for natural compounds capable of preventing and controlling COVID-19 infection through inhibition of spike proteins of SARS-CoV-2. This research aims to identify, evaluate, and explore the structure of spike protein macromolecules from three coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2) and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using computational studies. Based on the identification of the three spike protein macromolecules, it was found that there was a similarity between the active binding sites of ACE-2. These observations were then confirmed using a protein-docking simulation to observe the interaction of the protein spike to the active site of ACE-2. SARS-COV-2 spike protein has the strongest bond to ACE-2, with an ACE score of ?1341.85 kJ/mol. Therefore, some of this information from the results of this research can be used as a reference in the development of competitive inhibitor candidates for SARS-CoV-2 spike proteins for the treatment of COVID-19 infectious diseases.

Glimepiride is often combined with metformin HCl as an oral antidiabetic in type II diabetes mellitus, which provides a complementary and synergistic effect with multiple targets for insulin secretion. Glimepiride includes class II of BCS, which solubility practically insoluble in water but high permeability, which will impact the drug's small bioavailability. In contrast, metformin HCl includes class III of BCS, which has a high solubility in water, but low permeability is absorbed approximately 50-60% in the digestive tract given orally. The co-crystallization method can be used to improve the glimepiride solubility properties and the permeability properties of metformin HCl by interrupting glimepiride with metformin HCl physically. This study aims to identify the physical interactions between glimepiride and metformin HCL using a thermal analysis of Differential Scanning Calorimetry (DSC) and then confirmed by a computational approach. Identifying the physical interactions between glimepiride and metformin HCL was carried out by plotting the melting points generated from the endothermic peaks of the DSC thermogram at various compositions versus the mole ratios of the two were further confirmed by the computational approach using PatchDock. The results of the phase diagram analysis of the binary system between glimepiride and metformin HCl show a congruent pattern, which indicates the formation of co-crystal or molecular compounds at a 1 : 1 mole ratio at 228°C. Computational approach results showed that the interaction between glimepiride and metformin HCl did not form new compounds but heterosinton formation that was stable in molecular dynamics simulations.

Population density, growth, survival, water quality and larval stage index of purple mud crab, Scylla tranquebarica at different feeding regimes and the data on ingestion rate of chosen microalgae, survival and larval development of blue swimming crab, Portunus pelagicus are presented. A twenty days of S. tranquebarica larval culture from zoeal 1 until megalopa stage under two different feeding regimes of A) Rotifer, Artemia nauplii and shrimp meat and B) Rotifer, Artemia nauplii and artificial feed is shared. A method on investigation of individual larvae of P. pelagicus capability to catch four different types of microalgae within 24 h is also shared. Direct eye observation, data collected through the larval rearing culture of S. tranquebarica and further statistical analysis were done daily until the crabs reached the megalopa stage. The result obtained from the optimum density of selected microalgae fed by individual larvae of P. pelagicus will be combined with the highest survival rate and larval stage index to develop feeding schedule for crab larvae P. pelagicus. This dataset has not previously been published and is of great potential for further comparison with other – and future investigation of various feeding regimes affected the crab culture. The collected information could be used as a standard feeding regime for nursery and hatchery seed production of others portunids crabs. The data described in this article are available as a supplementary file to this article. Keywords: Aquaculture, Crablet, Development, Growth, Larval rearing, Scylla tranquebarica, Portunus pelagicus, Microalgae selection

The data collected in the present work correspond to the behavioral, Hepatosomatic Index (HSI), Gonadosomatic Index (GSI) and total lipid analysis between male and female mud crabs, Scylla olivacea at different water velocities. A total of 56 immature male and female crabs were used in this data article. The important criteria for estimating the selective habitat facing by S. olivacea is a considerate of (1) the behavioral range in response to abiotic factors (and how it adapt ontogenetically) and (2) the movement of the crab under wild velocities situations. This work purposes to recognize the performance, locomotion rate and escaping capability of S. olivacea under stagnant and flowing water situations and to discuss the significance of horizontal walking to habitat choice. The collective outcomes clearly show that the locomotor activities and escaping capabilities of S. olivacea were influenced by water flow in the mangrove habitats. For the HSI data, velocities of 20 cm/s were the highest increased mean HSI percentage and highest mean HSI percentage in males and females was recorded on the end of the experiment. For GSI percentage of male and female crabs, 20 cm/s dominates the highest increases mean GSI, followed by 60, 40 and 0 cm/s. For total lipid percentage, the results showed that, the mean total lipid of hepatopancrease, muscle and gonad were increased at the beginning and decreased at the final in each water velocities except for 20 cm/s over a culture period of 60 days. Velocities of 20 cm/s were the highest increased mean total lipid percentage followed by 40, 60, and lastly 0 cm/s. The high flow velocities inhibit the production of hepatopancrease and gonad, in terms of nutrients from food used to endeavor the stress condition faced. Keywords: Aquaculture, Biochemical changes, Comparison between sexes, Hydrodynamic, Portunid crab

Nuclear receptor REV-ERBβ is an overexpressed oncoprotein that has been used as a target for cancer treatment. The metal-complex nature of its ligand, iron protoporphyrin IX (Heme), enables the REV-ERBβ to be used for multiple therapeutic modalities as a photonuclease, a photosensitizer, or a fluorescence imaging agent. The replacement of iron with cobalt as the metal center of protoporphyrin IX changes the ligand from an agonist to an antagonist of REV-ERBβ. The mechanism behind that phenomenon is still unclear, despite the availability of crystal structures of REV-ERBβ in complex with Heme and cobalt protoporphyrin IX (CoPP). This study used molecular dynamic simulations to compare the effects of REV-ERBβ binding to Heme and CoPP, respectively. The initial poses of Heme and CoPP in complex with agonist and antagonist forms of REV-ERBβ were predicted using molecular docking. The binding energies of each ligand were calculated using the MM/PBSA method. The computed binding affinity of Heme to REV-ERBβ was stronger than that of CoPP, in agreement with experimental results. CoPP altered the conformation of the ligand-binding site of REV-ERBβ, disrupting the binding site for nuclear receptor corepressor, which is required for REV-ERBβ to regulate the transcription of downstream target genes. Those results suggest that a subtle change in the metal center of porphyrin can change the behavior of porphyrin in cancer cell signaling. Therefore, modification of porphyrin-based agents for cancer therapy should be conducted carefully to avoid triggering unfavorable effects.

The emergence of multidrug-resistant Mycobacterium tuberculosis (MTB) has become a major problem in treating tuberculosis (TB) and shows the need to develop new and efficient drugs for better TB control. This study aimed to use in silico techniques to discover potential inhibitors to the Enoyl-[acyl-carrier-protein] reductase (InhA), which controls mycobacterial cell wall construction. Initially, 391 quercetin analogs present in the KNApSAck_3D database were selected, filters were sequentially applied by docking-based virtual screening. After recategorizing the variables (bond energy prediction and molecular interaction, including hydrogen bond and hydrophobic bond), compounds C00013874, C00006532, and C00013887 were selected as hit ligands. These compounds showed great hydrophobic contributions, and for each hit ligand, 100 ns of molecular dynamic simulations were performed, and the binding free energy was calculated. C00013874 demonstrated the greatest capacity for the InhA enzyme inhibition with ΔGbind = −148.651 kcal/mol compare to NAD (native ligand) presented a ΔGbind = −87.570 kcal/mol. These data are preliminary studies and might be a suitable candidate for further experimental analysis.

In Indonesia, Global Navigation Satellite System (GNSS) has become one of the important tool in survey mapping, especially for cadastral purposes like land registration by using Real Time Kinematic (RTK) GNSS positioning method. The conventional RTK GNSS positioning method ensure high accuracy GNSS position solution (within several centimeters) for baseline less than 20 kilometers. The problems of resolving high accuracy position for a greater distance (more than 50 kilometers) becomes greater challenge. In longer baseline, atmospheric delays is a critical factor that influenced the positioning accuracy. In order to reduce the error, a modified LAMBDA ambiguity resolution, atmospheric correction and modified kalman filter were used in this research. Thus, this research aims to investigate the accuracy of estimated position and area in respect with short baseline RTK and differential GNSS position solution by using NAVCOM SF-3040. The results indicate that the long-range single baseline RTK accuracy vary from several centimeters to decimeters due to unresolved biases.

Background: Alpha mangostin (AM) has demonstrated significant potential as an anticancer agent, owing to its potent bioactivity. However, its clinical application is limited by poor solubility, which hampers its bioavailability and effectiveness. Amorphous solid dispersion (ASD) presents a promising technique to enhance the solubility and stability of AM. Molecular dynamics simulation offers a rapid, efficient, and precise method to evaluate and optimize ASD formulations before production. Aim of Study: In this study, we conducted molecular dynamics simulations to explore the ASD development of AM with poloxamer and pullulan. Result: Our results revealed that AM–poloxamer complexes exhibit superior interaction characteristics compared to AM–pullulan, with a 1:5 ratio of AM to poloxamer and a cooling rate of 1 °C/ns demonstrating the most favorable outcomes. This combination showed enhanced hydrogen bonding, a more compact molecular structure, and higher stability, making it the optimal choice for ASD formulation. Conclusion: The integration of molecular dynamics simulation into ASD development significantly accelerates the formulation process and provides critical insights into achieving a stable and effective AM dispersion. The AM–poloxamer complex, particularly at a 1:5 ratio with a 1 °C/ns cooling rate, offers the best potential for improving AM solubility and therapeutic efficacy. [ABSTRACT FROM AUTHOR]