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The β-secretase, sometimes referred to as BACE1 or Asp2, is the enzyme responsible for initiating the production of Aβ by breaking down the amyloid precursor protein. Hence, BACE is a pivotal target for pharmacological intervention aimed at diminishing the production of Aβ in Alzheimer's disease (AD). We did a quantitative structure-activity relationship (QSAR) study on 1235 compounds that had been experimentally reported as BACE-1 inhibitors (Ki) to find the target molecule and structural patterns linked to blocking the BACE-1 receptor. The OECD-recommended genetic algorithm-multiple linear regression (GA-MLR) QSAR model strikes a good balance between being able to make accurate predictions and understanding how things work. It achieves high values for many evaluation metrics, including R2tr = 0.8047, Q2LMO = 0.802, R2ex = 0.805, CCCex = 0.891, Q2-F1=0.801, Q2-F2=0.799, and Q2-F3=0.815. The mechanistic interpretation of QSAR has identified some nitrogen atoms that are required to block beta-secretase and make it less effective at doing its job. A positively charged aromatic carbon atom has a more significant impact on beta-secretase-1 inhibition. The docking study showed that the catalytic dye residues Asp32 and Asp228 become protonated when compound 27 is present, but they stay unprotonated when compound 27 is not present. These rings of pyrazine and pyridine interact hydrophobically with Tyr71 and Ile118 residues, confirming the pharmacophoric features seen in the QSAR data. We examined the stability of both the protein-ligand complex and the apo-protein. The apoprotein had an average gyration radius of 22.13, whereas the protein-ligand complex had an average gyration radius of 22.91. No changes were made to the results from the molecular docking, molecular dynamics (MD) simulation, MMGBSA (Molecular Mechanics Generalized Born Surface Area), or DFT analyses. Therefore, the current work could effectively contribute to the future development of BACE inhibitors in medication design.

Many human disorders include NF-kB signaling pathways, making IKK a therapeutic target in cancer treatment. Inflammatory illnesses and cancer are examples. COVID-19 is one of several triggers that stimulate NF-kB signaling. The activation of the NF-kB pathway is necessary for COVID-19 to cease its development. To learn more about the mechanism and structural features essential to IKK inhibition (IC50), molecular modeling studies have been undertaken on experimentally reported 503. QSAR analysis explores certain reported and hidden structural features critical for IKKβ inhibition. The OECD guidelines guided the construction of the QSAR model, which achieved all the endorsed threshold values for all validation parameters (R2tr:0.81, R2LMO:0.80, and R2ext:0.78). The present QSAR study shows that IKK inhibitory activity is linked to the following structural features: lipophilic hydrogen atoms within 2 A units of the molecule's center of mass; ring nitrogen atoms within one bond of planar nitrogen atoms; ring carbon atoms exactly four bonds from the non-ring nitrogen atoms; planar nitrogen atoms exactly four bonds from sp2 hybridized carbon atoms; and so on. Pharmacophore modeling highlighted QSAR-identified structural characteristics. To investigate binding, we docked all 503 molecules. The observation indicates that the QSAR and molecular docking/pharmacophore modeling findings are in agreement. Following this, we conducted 200 ns of molecular dynamics simulation to validate the molecular docking protocol. MMGBSA analysis determined the binding energy of the dock complex. Thus, the current study found unique pharmacophoric properties that may assist in optimizing lead/hit compounds for anti-IKKβ activity.

We investigated 1012 molecules from natural products previously isolated from the South African biodiversity (SANCDB, https://sancdb.rubi.ru.ac.za/), for putative inhibition of Onchocerca volvulus pi-class glutathione S-transferase (Ov-GST2) by virtual screening, MMGBSA, and molecular dynamics approaches. ADMET, docking, and MMGBSA shortlisted 12 selected homoisoflavanones-type hit molecules, among which two namely SANC00569, and SANC00689 displayed high binding affinities of −46.09 and −46.26 kcal mol−1, respectively towards π-class Ov-GST2, respectively. The molecular dynamics results of SANC00569 showed the presence of intermolecular H-bonding, hydrophobic interactions between the ligand and key amino acids of Ov-GST2, throughout the simulation period. This hit molecule had a stable binding pose and occupied the binding pockets throughout the 200 ns simulation. To the best of our knowledge, there is no report of any alleged anti–onchocerciasis activity referring to homoisoflavanones or flavonoids. Nevertheless, homoisoflavanones, which are a subclass of flavonoids, exhibit a plethora of biological activities. All these results led to the conclusion that SANC00569 is the most hypothetical Ov-GST2, which could lead the development of new drugs against Onchocerca volvulus pi-class glutathione S-transferase. Further validation of these findings through in vitro and in vivo studies is required.

Pneumonia, an infectious lung disease, is a significant global health concern, claiming the lives of 740,180 children in 2019, which accounts for 14 % of pediatric deaths. Recently, the management of pediatric pneumonia has become complex due to exposure to indoor and outdoor environmental toxins. Notably, exposure to pollutants and antibiotic-resistant bacteria during community and hospital-acquired pneumonia poses a serious threat to patient outcomes. The development of antibiotic resistance against Streptococcus pneumoniae is driven by the DinF efflux pump protein, which expels antibiotics from bacterial cells, leading to multidrug resistance. Therefore, blocking DinF could serve as a strategy to combat antibiotic resistance. This study aimed to identify DinF inhibitors from compounds analogous to verapamil, a well-known DinF inhibitor, through computational techniques including molecular docking, molecular dynamics simulations, ADMET analysis, MMGBSA, quantum mechanics, and Network Pharmacology. After considering docking scores, results of MMGBSA, quantum mechanics, Molecular Dynamics Simulations, ADMET analysis and network pharmacology profiling four compounds namely netarsudil, rimegepant, GSK-1521498 and tariquidar were found as the most promising DinF inhibitors. Therefore, these compounds hold a great promise as leads to the development of potent DinF inhibitors; however, further studies are needed to warrant their clinical uses against antibiotic resistant Streptococcus pneumoniae-induced pneumonia.

Govaniadine, an isoquinoline alkaloid first isolated from Corydalis govaniana Wall., has been reported to possess multiple biological properties. Its potential as a possible dopamine receptor D1 modulator has been assessed in this research work along with its 3D similar structures for hit molecule optimization by in silico methods. Server-based molecular docking calculations were performed to find the best docked pose of the top molecules in terms of binding affinity and total energy. The molecular level details of the ligand molecules interacting with the amino acid residues near the orthosteric site of the dopamine receptor D1 (PDB ID: 7X2F) were elaborated. The stability of the protein-ligand adduct as determined from 200 ns molecular dynamics simulation in terms of structural parameters like root mean square deviation, root mean square fluctuation, radius of gyration, solvent accessible surface area, and hydrogen bond count was reasonable and free energy change from −35.46 ± 2.91 kcal/mol to −16.87 ± 2.91 kcal/mol from molecular mechanics generalized Born surface area method hinted at the spontaneity of the forward reaction for the top molecules. Ligand 626 (PubChem CID: 71109986) could be chosen as a hit candidate with better geometrical and thermodynamic stability and could be a possible modulator. The preliminary results point towards the need for further characterization of govaniadine scaffold-derived hit molecules for their development as effective and safe drug candidates by various experimental and computational techniques.

2-phenoxyanline was thoroughly examined using several spectroscopy nuclear magnetic resonance, IR, UV–vis, and quantum mechanical methodologies. D F T with basis set is employed to determine structural optimization and distinct vibration modes. The optimum binding parameters agree closely with the observed binding characteristics. VEDA performed the duties relating to potential energy distribution (PED) satisfactorily. The G I A O approach was adopted to compute chemical shifts in the 13C, 1H- N.M.R and the outcomes were compared to experimental spectra. TD-DFT with PCM model was used to calculate UV–vis with different solvents that, when assessed against observational spectra. The FMO energy provides sufficient proof of such. Molecular docking and dynamic simulations gave a better idea of the interaction of ligands with receptors.

There is an urgent need to develop new, safer, and more effective drugs against Chagas disease (CD) as well as related kinetoplastid diseases. Targeting and inhibiting the Trypanosoma cruzi proteasome has emerged as a promising therapeutic approach in this context. To expand the chemical space for this class of inhibitors, we performed virtual screening campaigns with emphasis on shape-based similarity and ADMET prioritization. We describe the ideation and application of robustly validated shape queries for these campaigns, which furnished 44 compounds for biological evaluation. Five hit compounds demonstrated in vitro antitrypanosomal activity by potential inhibition of T. cruzi proteasome and notable chemical diversities, particularly, LCQFTC11. Structural insights were achieved by homology modeling, sequence/structure alignment, proteasome-species comparison, docking, molecular dynamics, and MMGBSA binding affinity estimations. These methods confirmed key interactions as well as the stability of LCQFTC11 at the β4/β5 subunits' binding site of the T. cruzi proteasome, consistent with known inhibitors. Our results warrant future assay confirmation of our hit as a T. cruzi proteasome inhibitor. Importantly, we also shed light into dynamic details for a proteasome inhibition mechanism that shall be further investigated. We expect to contribute to the development of viable CD drug candidates through such a relevant approach., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Hypercholesterolemia is a potential cardiovascular hazard that requires immediate therapeutic intervention. Research has shown that 3-Hydroxy-3-methylglutaryl- CoA reductase (HMG CoA reductase) and Proprotein convertase subtilisin/kexin type 9 (PCSK9) are directly involved in the pathophysiology of hypercholesterolemia. Inhibition of these proteins is a proven strategy in the fight against hypercholesterolemia. This study employs a molecular modeling approach that includes molecular docking, ADMET studies, MM-GBSA-based binding energy calculation, and pharmacophore modeling to identify natural compounds from Vitis vinifera with the potential to inhibit HMG-CoA reductase and PCSK9. Five compounds each were predicted as lead compounds that have good inhibitory potential against 3-Hydroxy-3-methylglutaryl- CoA reductase and Proprotein convertase subtilisin/kexin type 9. Procyanidin B4, Proanthocyanidin, Isohopeaphenol, cis-Miyabenol C, and cis-Astrigin were predicted inhibitors for 3-Hydroxy-3-methylglutaryl- CoA reductase. On the other hand, Rutin, Isoquercitrin, Isorhamnetin 3-O-glucoside, Hyperoside, and Gallocatechin gallate were predicted allosteric inhibitors for Proprotein convertase subtilisin/kexin type 9. These compounds showed better inhibitory potential relative to the co-crystalized ligands of the targets. The various analyses employed in this study showed that the compounds can serve as natural therapeutic solutions to hypercholesterolemia. They are therefore recommended for further analyses.

Estrogen receptors (ERs) are nuclear factors that exist as two subtypes: ERα and ERβ. Among the different selective ERβ agonist ligands, the widely used ERβ-selective agonist DPN (diarylpropionitrile) is highlighted. Recent experimental and thermodynamic information between R-DPN and S-DPN enantiomers with ERβ is important for evaluating further the ability of MD simulations combined with end-point methods to reproduce experimental binding affinity and generate structural insight not provided through crystallographic data. In this research, starting from crystallographic data and experimental binding affinities, we explored the structural and thermodynamic basis of the molecular recognition of ERβ with DPN and derivatives through triplicate MD simulations combined with end-point methods. Conformational analysis showed some regions with the highest mobility linked to ligand association that, at the time, impacted the total protein fluctuation. Binding free energy (ΔG) analysis revealed that the Molecular Mechanics Generalized-Born Surface Area (MMGBSA) approach was able to reproduce the experimental tendency with a strong correlation (R = 0.778), whereas per-residue decomposition analysis revealed that all the systems interacted strongly with eight residues (L298, E305, L339, M340, L343, F356, H475, and L476). The comparison between theoretical studies using the MMGBSA approach with experimental results provides new insights for drug designing of new DPN derivatives., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

M pro main protease takes an essential role in the Sars-Cov-2 viral life cycle by releasing the individual protein from the single poly-peptide chain via proteolytic cleavage in the beginning of the viral infection. Interfering with this step by inhibiting the protease with small compound-based inhibitors has been proven to be an effective strategy to treat the infection. Thus, understanding the substrate recognition mechanism of the M pro main protease has gained great interest from the beginning of the pandemic. Here, we have studied the substrate recognition mechanism of the protease by means of the molecular dynamic methods. We have found that the glutamine residue at P1 has paramount effect in the interaction with the substrates as expected. In addition, we also have shown that for the first time, the arginine amino acid at the P3-P5 along with P4' can strengthen the interaction., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Background: The SARS-CoV-2 pandemic, caused by the novel coronavirus, has posed a significant global health threat since its emergence in late 2019. The World Health Organization declared the outbreak a pandemic on March 11, 2020, due to its rapid global spread and impact on public health. New variants have raised concerns about their potential impact on the transmission of the virus and the effectiveness of current diagnostic tools, treatments, and vaccines. This study aims to investigate the effect of new variants in Pakistani virus strains on human receptors, specifically ACE2 and NRP1. In-silico analysis provides a powerful tool to analyze the potential impact of new variants on protein structure, function, and interactions., Objectives: The SARS-CoV-2 virus is evolving quickly. After being exposed in Wuhan, SARS-CoV-2 underwent numerous mutations, leading to several variants' emergence. These variants stabilize the interaction of spike protein with human receptors ACE2 and NRP1. The study aims to check the molecular effect of these variants on human receptors using the in-silico approach., Material and Methods: We use in-silico mutational tools to analyze new variants in SARS-CoV-2 and to check the molecular interaction of spike protein with human receptors (ACE2 and NRP1). Genomic sequences of 41 SARS-CoV-2 strains were sequenced using Ion Torrent (NGS) and submitted to the GISAID database. Spike protein of SARS-CoV-2 sequence trimmed and translated into a protein sequence using ExPasy. We used multiple sequence alignments to check for variants in the spike protein of strains. We utilized mutation tools such as Mupro, SIFT, SNAP2, and Mutpred2.3D structures of SARS-CoV-2 spike proteins (wild and mutated) to analyze further the mutations, ACE2 and NRP1 modelled by the ITASSER protein modelling server. Interactions of spike proteins (wild and mutant) analyzed by MD Docking, Simulation, and MMGBSA RESULTS: Variants I210T, V213G, S371F, S373P, T478K, F486V, Y505H, and D796Y were identified in SARS-CoV-2 Pakistani strains' spike protein. Variant Y505H were found to affect protein function. MD Docking, MMGBSA and MD simulation revealed that these variants increased spike protein's binding affinity with human receptors (ACE2 and NRP1). MD simulation revealed that mutated spike protein stabilized earlier than wild when interacting with ACE2 after 40 ns and interaction with NRP1 stabilized after 30 ns for mutated spike protein compared to wild., Conclusion: These variants in Pakistani strains of SARS-CoV-2 are increasing the stability of spike protein with human receptors. These findings provide insight into how the SARS-CoV-2 virus evolves and adapts to human hosts. This information may help develop strategies to control the virus's spread and develop effective treatments and vaccines in the future., Competing Interests: Declaration of Competing Interest We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome. No funding was received for this work., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Flavonoids have been shown to have antioxidant, anti-inflammatory, anti-proliferative, antibacterial and antiviral efficacy. Therefore, in this study, we choose 85 flavonoid compounds and screened them to determine their in-silico interaction with protein targets crucial for SARS-CoV-2 infection. The five important targets chosen were the main protease (Mpro), Spike receptor binding domain (Spike-RBD), RNA - dependent RNA polymerase (RdRp or Nsp12), non-structural protein 15 (Nsp15) of SARS-CoV-2 and the host angiotensin converting enzyme-2 (ACE-2) spike-RBD binding domain. The compounds were initially docked at the selected sites and further evaluated for binding free energy, using the molecular mechanics/generalized Born surface area (MMGBSA) method. The three compounds with the best binding scores were subjected to molecular dynamics (MD) simulations. The compound, tribuloside, had a high average binding free energy of -86.99 and -88.98 kcal/mol for Mpro and Nsp12, respectively. The compound, legalon, had an average binding free energy of -59.02 kcal/mol at the ACE2 spike-RBD binding site. The compound, isosilybin, had an average free binding energy of -63.06 kcal/mol for the Spike-RBD protein. Overall, our results suggest that tribuloside, legalon and isosilybin should be evaluated in future studies to determine their efficacy to inhibit SARS-CoV-2 infectivity., (Copyright © 2021. Published by Elsevier Ltd.)

Glaucoma is the second leading cause of blindness in the world and is characterized by the loss of retinal ganglion cells (RGC) over a period of time, leading to complete blindness. Recently, endothelin has been identified as an important factor that influences intraocular pressure IOP, OBF, and direct RGC damage. Targeting the endothelin receptor signaling pathway in glaucoma is considered to be highly beneficial, as it can effectively modulate IOP, OBF, and RGC damage, the key factors which are essential to modulate the disease progression holistically. Currently, synthetic drugs like Bosentan, BQ-123, and prostaglandin analogues are available as endothelin receptor antagonists, which are extensively used in the treatment of cardiovascular and other conditions like systemic hypertension. However, the usage of these drugs in glaucoma is limited due to toxicity and poor bioavailability in the ocular milieu. Thus, there is a need for potential natural compounds as endothelin receptor antagonists that acts as dual inhibitors by targeting both ETA and ETB and are highly efficient with the least toxicity. Hence, this study is intended to prioritize endothelin receptor antagonists by structural bioinformatics approaches involving molecular modeling, molecular dynamics, and molecular docking studies. Subsequently, High throughput virtual screening (HTVS) vs. Natural compound databases targeting the optimal binding sites of both ETA and ETB. Following this, the common hits were subjected to binding free energy calculations (MMGBSA) and ADMETox analysis. Finally, the most potential hits were analyzed for MD based binding stability analysis and binding free energy. Similarly, the known synthetic inhibitors were also docked to the receptors and the results were analyzed. From this study, it was inferred that among the natural compounds dataset (8929 compounds), only 4 common compounds were identified as hits. Among these, only one compound ST075640 surpassed all the prioritization criteria including MMGBSA, ADMETox prediction, dual inhibitory potential (ETA & ETB), and also in structural comparative analysis with bosentan it showed similar efficiency. Thus, the validated hit shall prove to be effective in modulating endothelin mediated IOP, OBF, and RGC damage in glaucomatous condition., (Copyright © 2021. Published by Elsevier Inc.)

Aims: Protein tyrosine phosphatase (PTP-CPS4B) is a signaling enzyme that is essential for a wide range of cellular processes, like metabolism, proliferation, survival and motility. Studies suggest that PTPs are vital for the production of Wzy-dependent capsule in bacteria, making it a valuable target for the discovery of pneumonia associated anti-virulence antibacterial agents. Present study aims at identifying the potential drug candidates to be exploited in inhibiting the growth of Streptococcus pneumonia targeting PTP-CPS4B., Materials and Methods: The present study exploits the molecular docking potential coupled with molecular dynamic simulation as well as free energy calculations to identify potential inhibitors of PTP-CPS4B. Libraries of known and unknown compounds were docked into the active site of PTP-CPS4B using MOE. The compounds with best binding affinity and orientation were subjected to MD simulations and free energy calculations., Findings: Top three compounds based on their binding energy and well composed interaction pattern obtained from molecular docking study were subjected to MD simulations and were compared to reported antibiotic drugs. MD Simulation studies have shown that the presence of an inhibitor inside the active site reduces protein flexibility as evident from RMSD, RMSF and Principal component analyses. MD simulations identified a transition from extended to bended motional shift in loop α6 of the PTP-CPS4B in ligand bound state. This flexibility was reported in the RMSF analysis and verified by the visual investigation of the loop α6 at different time intervals during the simulation. Free energy of binding affinity (computed using MMPBSA &MMGBSA approach) and the interaction patterns obtained from MD trajectory indicate that compound ZN1 (-31.50 Kcal/mol), ZN2 (-33.14 Kcal/mol) and ZN3 (-26.60 Kcal/mol) are potential drug candidates against PTP-CPS4B. Residue wise decomposition study helped in identifying the role of individual amino acid towards the overall inhibition behavior of the compounds. PCA analysis has led to the conclusion that the behavior of PTP-CPS4B inhibitors causes conformational dynamics that can be used to describe the protein inhibition mechanism., Significance: The outcome reveals that this study provide enough evidences for the consideration of ZN1, ZN2, ZN3 as potential PTP-CPS4B inhibitors and further in vitro and in vivo studies may prove their therapeutic potential., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Dengue is a mosquito-borne viral infection caused by Dengue virus (DENV) and is an emerging concern in public health affecting billions of people worldwide annually with no effective drugs available till now. Immunogenic and highly conserved properties of Non-Structural Protein 5(NS5) in DENV makes it a potent marker to identify DENV infection. DENV interfere in the innate immune signaling and thereby decreases antiviral responses and favors viral replication. Viral recognition by host pathogen recognition receptors facilitates binding of interferon (IFN) to the interferon receptors that further activates both the Signal Transducer and Activator of Transcription-2 (STAT-2) a factor producing an antiviral response. The most debilitating factor of DENV infection is emaciation of human immune system by DENV- NS5. NS5 counters the antiviral response by STAT2 degradation impeding the transcriptional activation of interferon stimulated genes through interferon stimulated response elements. The present study aims to identify inhibitors for NS5 Methyl Transferase (MTase) domain and to provide an insight into the mechanism of STAT2 degradation in the host infected with DENV. Virtual screening and molecular docking studies identified five potential inhibitors ZINC84154300, ZINC08762321, ZINC08762323, ZINC12659408 and ZINC12285470 with docking scores of -10.55, -10.53, -10.78, -11.28 and -10.78 kcal/mol respectively. To further investigate the stability of the complexes, we have used Molecular Dynamics Simulations (MD). Besides, the binding free energy of top 5 docked ligands were estimated through Molecular Mechanics Generalized Born and Surface Area Solvation (MM/GBSA) methods. This study also provides an insight on the mechanism of immunological processes involved in alleviating the antiviral immune response and computational identification of potent inhibitors for viral NS5 protein., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Mycotic keratitis is a fungal infection of corneal epithelium. It is more common in tropical and subtropical countries and is one of the leading causes of blindness. Many of the antifungal drugs have been less effective in treating this condition and certain drugs which are efficient and yet limited in use due to its extreme side effects. Hence, in this study an attempt is made to identify potential and least toxic antifungal inhibitors that targets thiamine thiazole synthase, a novel target for suppressing Fusarium solani subsp.pisi (Nectria haematococca MPVI) infections, to combat mycotic keratitis. Integrative computational approaches involving model refinement, molecular dynamics simulation and High throughput virtual screening (HTVS) were applied through integrative multi precision mode in order to identify potential inhibitors. Moreover, machine learning approach was also implemented to prioritize potential inhibitors that are ophthalmic adaptive, as well as antifungal molecule. From the NCI and Maybridge datasets, for HTVS only 209,872 compounds that surpassed ligand property filtration were considered, which resulted in 209 compounds after XP docking. Among the top 5 compounds from XP docking, on cumulative analysis only 2-(1-hydroxyethyl)-1,3-thiazole-4-carboxamide was prioritized as the most potential hit, as it showed higher order of significance in terms of binding affinity, structural stability and therapeutic relevance for the treatment of Mycotic keratitis. Thus, widening the scope for novel antifungal therapy in ophthalmic infections., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Disrupting the Keap1-Nrf2 pathway enhances Nrf2 activity, which has been identified as an important approach for the prevention of different chronic diseases in which oxidative stress and inflammation are present, such as cancer, diabetes, Alzheimer's and Parkinson's. Based on the high potential to modulate antioxidant, anti-inflammatory and anticancer properties that the discovery of Keap1-Nrf2 protein-protein interaction inhibitors would represent, the utilization of some natural compounds has emerged as a promising strategy to identify new drugs. To gain insight into the structural and energetic basis of the molecular recognition between some natural inhibitors that could work as inhibitors of the Keap1-Nrf2 complex, we evaluated the binding properties between four natural compounds present in the extract of Geranium schiedeanum (Gs): 3-O-a-L arabinofuranoside-7-O-a-l-rhamnopyranoside of kaempferol (KAM), gallic acid (GAL), ellagic acid (ELL) and geranium acetonitrile (ACE), which based on experimental findings have been proposed as possible Keap1-Nrf2 PPI inhibitors. Computational studies combining docking and MD simulations accompanied by the MMGBSA approach revealed that KAM and ACE directly interact with residues in the Kelch domain that participate in the molecular recognition of Nrf2, indicating that both natural compounds could act as activators of Nrf2, whereas GAL and ELL are possible free radical scavengers., (Copyright © 2017 Elsevier B.V. All rights reserved.)