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The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is responsible for COVID-19, which was declared a global pandemic in March 2020 by the World Health Organization (WHO). Since SARS-CoV-2 main protease plays an essential role in the virus's life cycle, the design of small drug molecules with lower molecular weight has been a promising development targeting its inhibition. Herein, we evaluated the novel peptidomimetic azatripeptide and azatetrapeptide nitriles against SARS-CoV-2 main protease. We employed molecular dynamics (MD) simulations to elucidate the selected compounds' binding free energy profiles against SARS-CoV-2 and further unveil the residues responsible for the drug-binding properties. Compound 8 exhibited the highest binding free energy of −49.37 ± 0.15 kcal/mol, followed by compound 7 (−39.83 ± 0.19 kcal/mol), while compound 17 showed the lowest binding free energy (−23.54 ± 0.19 kcal/mol). In addition, the absorption, distribution, metabolism, and excretion (ADME) assessment was performed and revealed that only compound 17 met the drug-likeness parameters and exhibited high pharmacokinetics to inhibit CYP1A2, CYP2C19, and CYP2C9 with better absorption potential and blood-brain barrier permeability (BBB) index. The additional intermolecular evaluations suggested compound 8 as a promising drug candidate for inhibiting SARS-CoV-2 Mpro. The substitution of isopropane in compound 7 with an aromatic benzene ring in compound 8 significantly enhanced the drug's ability to bind better at the active site of the SARS-CoV-2 Mpro. [ABSTRACT FROM AUTHOR]

The use of vaccinations and antiviral medications have gained popularity in the therapeutic management of avian influenza H7N9 virus lately. Antiviral medicines are more popular due to being readily available. The presence of the neuraminidase protein in the avian influenza H7N9 virus and its critical role in the cleavage of sialic acid have made it a target drug in the development of influenza virus drugs. Generally, the neuraminidase proteins have common conserved amino acid residues and any mutation that occurs around or within these conserved residues affects the susceptibility and replicability of the influenza H7N9 virus. Herein, we investigated the interatomic and intermolecular dynamic impacts of the experimentally reported E119V mutation on the oseltamivir resistance of the influenza H7N9 virus. We extensively employed molecular dynamic (MD) simulations and subsequent post-MD analyses to investigate the binding mechanisms of oseltamivir-neuraminidase wildtype and E119V mutant complexes. The results revealed that the oseltamivir-wildtype complex was more thermodynamically stable than the oseltamivir-E119V mutant complex. Oseltamivir exhibited a greater binding affinity for wildtype (−15.46 ± 0.23 kcal/mol) relative to the E119V mutant (−11.72 ± 0.21 kcal/mol). The decrease in binding affinity (−3.74 kcal/mol) was consistent with RMSD, RMSF, SASA, PCA, and hydrogen bonding profiles, confirming that the E119V mutation conferred lower conformational stability and weaker protein–ligand interactions. The findings of this oseltamivir-E119V mutation may further assist in the design of compounds to overcome E119V mutation in the treatment of influenza H7N9 virus patients. [ABSTRACT FROM AUTHOR]

More recently, there has been a paradigm shift toward selective drug targeting in the treatment of neurological disorders, including drug addiction, schizophrenia, and Parkinson's disease mediated by the different dopamine receptor subtypes. Antagonists with higher selectivity for D3 dopamine receptor (D3DR) over D2 dopamine receptor (D2DR) have been shown to attenuate drug‐seeking behavior and associated side effects compared to non‐subtype selective antagonists. However, high conservations among constituent residues of both proteins, particularly at the ligand‐binding pockets, remain a challenge to therapeutic drug design. Recent studies have reported the discovery of two small‐molecules R‐VK4‐40 and Y‐QA31 which substantially inhibited D3DR with >180‐fold selectivity over D2DR. Therefore, in this study, we seek to provide molecular and structural insights into these differential binding mechanistic using meta‐analytic computational simulation methods. Findings revealed that R‐VK4‐40 and Y‐QA31 adopted shallow binding modes and were more surface‐exposed at D3DR while on the contrary, they exhibited deep hydrophobic pocket binding at D2DR. Also, two non‐conserved residues; Tyr361.39 and Ser18245.51 were identified in D3DR, based on their crucial roles and contributions to the selective binding of R‐VK4‐40 and Y‐QA31. Importantly, both antagonists exhibited high affinities in complex with D3DR compared to D2DR, while van der Waals energies contributed majorly to their binding and stability. Structural analyses also revealed the distinct stabilizing effects of both compounds on D3DR secondary architecture relative to D2DR. Therefore, findings herein pinpointed the origin and mechanistic of selectivity of the compounds, which may assist in the rational design of potential small molecules of the D2‐like dopamine family receptor subtype with improved potency and selectivity. [ABSTRACT FROM AUTHOR]

Today's device drivers are dependent on a given operating system, kernel, or an embedded system platform that provides a higher level of abstraction for its use. We present a USB mass storage device driver that does not depend on any operating system, or kernel, or embedded application. The device driver runs on a bare PC and directly interfaces with an application written in C/C++. The application programmer controls and manages all driver facilities. We describe a step-by-step approach to design the driver and provide code snippets of its key elements that can be used to build a device driver that runs on a bare PC, or a similar computing device. The bare PC API can be used to build a file management system that is independent of standard file system specifications. A bare device driver inherently provides simplicity, total control, flexibility, portability, platform independence, and better performance compared to a standard device driver. The performance measurements for read and write operations show a performance gain over a Linux system with significant improvements in stress tests. The experiments suggest that large transfers are optimized for groups consisting of a particular number of sectors. Bare device drivers can be used for building bare applications or as a foundation for building other types of USB drivers that can run directly on a variety of devices with no system support. [ABSTRACT FROM AUTHOR]

Covalent inhibition has recently gained a resurgence of interest in several drug discovery areas. The expansion of this approach is based on evidence elucidating the selectivity and potency of covalent inhibitors when bound to particular amino acids of a biological target. The unexpected covalent inhibition of heat shock protein 72 (HSP72) by covalently targeting Lys-56 instead of Cys-17 was an interesting observation. However, the structural basis and conformational changes associated with this preferential coupling to Lys-56 over Cys-17 remain unclear. To resolve this mystery, we employed structural and dynamic analyses to investigate the structural basis and conformational dynamics associated with the unexpected covalent inhibition. Our analyses reveal that the coupling of the irreversible inhibitor to Lys-56 is intrinsically less dynamic than Cys-17. Conformational dynamics analyses further reveal that the coupling of the inhibitor to Lys-56 induced a closed conformation of the nucleotide-binding subdomain (NBD) α-helices, in contrast, an open conformation was observed in the case of Cys-17. The closed conformation maintained the crucial salt-bridge between Glu-268 and Lys-56 residues, which strengthens the interaction affinity of the inhibitor nearly identical to adenosine triphosphate (ADP/Pi) bound to the HSP72-NBD. The outcome of this report provides a substantial shift in the conventional direction for the design of more potent covalent inhibitors. [ABSTRACT FROM AUTHOR]

Dopamine receptors constitute a unique class of G‐protein coupled receptors that mediate the activities of dopamine, a neurotransmitter implicated in diverse neurological diseases when dysregulated. Over the years, antipsychotic drugs have been primarily directed towards D2 dopamine receptor (DRD2) while associable adverse effects have been centred on non‐selective targeting. The recent crystal structure of DRD2 in complex with atypical antipsychotic could further aid the structure‐based design of highly DRD2‐selective antipsychotics. Therefore, in this study, we comprehensively investigate the molecular recognition and differential binding landscapes of class‐I and II DRD2 atypical antipsychotics, using membrane‐bilayer molecular dynamics simulation and binding free energy techniques. Findings revealed that selected class‐I antipsychotics exhibited binding dynamics and poses dissimilar to the class‐II types with different interactive mechanisms at the binding cavity of DRD2. More interestingly, the class‐II drugs established a highly coordinated binding at the DRD2 active site with a pertinent and recurrent involvement of Asp114 via strong hydrogen interactions. Furthermore, while these compounds exert distinct effects on DRD2 structure, findings revealed that the class‐II types favourably engaged the deep hydrophobic pocket of DRD2 compared to the class‐I drugs. We speculate that these findings will be fundamental to the discovery of highly selective DRD2 antipsychotics. [ABSTRACT FROM AUTHOR]

More recently, there has been a paradigm shift toward selective drug targeting in the treatment of neurological disorders, including drug addiction, schizophrenia, and Parkinson's disease mediated by the different dopamine receptor subtypes. Antagonists with higher selectivity for D 3 dopamine receptor (D3DR) over D 2 dopamine receptor (D2DR) have been shown to attenuate drug-seeking behavior and associated side effects compared to non-subtype selective antagonists. However, high conservations among constituent residues of both proteins, particularly at the ligand-binding pockets, remain a challenge to therapeutic drug design. Recent studies have reported the discovery of two small-molecules R-VK4-40 and Y-QA31 which substantially inhibited D3DR with >180-fold selectivity over D2DR. Therefore, in this study, we seek to provide molecular and structural insights into these differential binding mechanistic using meta-analytic computational simulation methods. Findings revealed that R-VK4-40 and Y-QA31 adopted shallow binding modes and were more surface-exposed at D3DR while on the contrary, they exhibited deep hydrophobic pocket binding at D2DR. Also, two non-conserved residues; Tyr36 1.39 and Ser182 45.51 were identified in D3DR, based on their crucial roles and contributions to the selective binding of R-VK4-40 and Y-QA31. Importantly, both antagonists exhibited high affinities in complex with D3DR compared to D2DR, while van der Waals energies contributed majorly to their binding and stability. Structural analyses also revealed the distinct stabilizing effects of both compounds on D3DR secondary architecture relative to D2DR. Therefore, findings herein pinpointed the origin and mechanistic of selectivity of the compounds, which may assist in the rational design of potential small molecules of the D 2 -like dopamine family receptor subtype with improved potency and selectivity., (© 2021 John Wiley & Sons Ltd.)

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Dopamine receptors constitute a unique class of G-protein coupled receptors that mediate the activities of dopamine, a neurotransmitter implicated in diverse neurological diseases when dysregulated. Over the years, antipsychotic drugs have been primarily directed towards D 2 dopamine receptor (DRD2) while associable adverse effects have been centred on non-selective targeting. The recent crystal structure of DRD2 in complex with atypical antipsychotic could further aid the structure-based design of highly DRD2-selective antipsychotics. Therefore, in this study, we comprehensively investigate the molecular recognition and differential binding landscapes of class-I and II DRD2 atypical antipsychotics, using membrane-bilayer molecular dynamics simulation and binding free energy techniques. Findings revealed that selected class-I antipsychotics exhibited binding dynamics and poses dissimilar to the class-II types with different interactive mechanisms at the binding cavity of DRD2. More interestingly, the class-II drugs established a highly coordinated binding at the DRD2 active site with a pertinent and recurrent involvement of Asp114 via strong hydrogen interactions. Furthermore, while these compounds exert distinct effects on DRD2 structure, findings revealed that the class-II types favourably engaged the deep hydrophobic pocket of DRD2 compared to the class-I drugs. We speculate that these findings will be fundamental to the discovery of highly selective DRD2 antipsychotics., (© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Human leukotriene A4 hydrolase/aminopeptidase (LTA4H) is a zinc metalloenzyme with a dual catalytic activity; conversion of LTA4 into LTB4 and degradation of chemotactic tripeptide Pro-Gly-Pro (PGP). Existing inhibitors, such as SC-57461A, block both catalytic activities of the enzyme, leading to drug failures. Recently, a novel compound, ARM1, was reported to selectively inhibit the hydrolase activity of LTA4H while sparing its aminopeptidase activity. However, the molecular understanding of such preferential inhibitory mechanism remains obscure. The discovery of ARM1 prompted us to further explore its binding theme and provide more insight into the structural and dual mechanistic features of LTA4H protein. To accomplish this, we embarked on wide range of computational tools, including comparative molecular dynamics (MDs) simulations and postdynamic analyses for LTA4H and in complex with ARM1, PGP, ARM1-PGP, and SC-57461A. MD analysis reveals that the binding of ARM1 exhibits a more stable active site and overall stable protein conformation when compared to the nonselective inhibitor SC-57461A. In addition, MM/GBSA-binding free energy calculation also reveals that ARM1 exhibit a lower binding affinity, when compared to the nonselective inhibitor SC-57461A - which is in a great agreement with experimental data. Per residue energy decomposition analysis showed that Phe314, Val367, Tyr378, Trp311, Pro382, and Leu369 are key residues critical for the selective inhibition of the epoxide hydrolase activity of LTA4H by ARM1. Findings from this report will not only provide more understanding into the structural, dynamic, and mechanistic features of LTA4H but would also assist toward the rational design of novel and selective hydrolase inhibitors of LTA4H as anti-inflammatory drugs.