Tailored Modeling of Rivastigmine Derivatives as Dual Acetylcholinesterase and Butyrylcholinesterase Inhibitors for Alzheimer's Disease Treatment.

Rational modification of known drug candidates to design more potent ones using computational methods has found application in drug design, development, and discovery. Herein, we integrate computational and theoretical methodologies to unveil rivastigmine derivatives as dual inhibitors of acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) for Alzheimer's disease (AD) management. The investigation entails pharmacokinetics screening, density functional theory (DFT) mechanistic study, molecular docking, and molecular dynamics (MD) simulation. We designed over 20 rivastigmine substituents, subject them to some analyses, and identified RL2 with an appreciable blood-brain barrier score and no permeability glycoprotein binding. The compound shows higher acylation energy and a favored binding affinity to the cholinesterase enzymes. RL2 interacts with the AChE and BuChE active sites showing values of -41.1/-39.5 kcal mol-1 while rivastigmine binds with -32.7/-30.7 kcal mol-1 for these enzymes. The study revealed RL2 (4-fluorophenyl rivastigmine) as a potential dual inhibitor for AChE and BuChE towards Alzheimer's disorder management.

Computational studies of potential antiviral compounds from some selected Nigerian medicinal plants against SARS-CoV-2 proteins.

The challenges posed by COVID-19's emergence have led to a search for its therapies. There is no cure for COVID-19 infection yet, but there is significant progress in vaccine formulation for prophylaxis and drug development (such as Paxlovid) for high-risk patients. As a contribution to the ongoing quest for solutions, this study shows potent phytocompounds identification as inhibitors of SARS-CoV-2 targets using in silico methods. We used virtual screening, molecular docking, and molecular dynamics (MD) simulations to investigate the interaction of some phytochemicals with 3CLpro, ACE2, and PLpro proteins crucial to the SARS-CoV-2 viral cycle. The predicted docking scores range from -5.5 to -9.4 kcal/mol, denoting appreciable binding of these compounds to the SARS-CoV-2 proteins and presenting a multitarget inhibition for COVID-19. Some phytocompounds interact favorably at non-active sites of the enzymes. For instance, MD simulation shows that an identified site on PLpro is stable and likely an allosteric region for inhibitor binding and modulation. These phytocompounds could be developed into effective therapy against COVID-19 and probed as potential multitarget-directed ligands and drug candidates against the SARS-CoV-2 virus. The study unveils drug repurposing, selectivity, allosteric site targeting, and multitarget-directed ligand in one piece. These concepts are three distinct approaches in the drug design and discovery pipeline.

Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study.

Background: The COVID-19 pandemic caused by SARS-CoV-2 is causing ongoing human and socioeconomic losses. Objective: To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the SARS-CoV-2 seroprevalence, patterns, dynamics, and risk factors in the state. Methods: A cross-sectional study design and clustered, stratified random sampling strategy were used to select 185 test participants across the state. SARS-CoV-2 IgG and IgM rapid test kits (colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of antibodies to the virus in the blood of sampled participants across Niger State from June 26 to 30, 2020. The test kits were validated using the blood samples of some of the Nigeria Center for Disease Control-confirmed positive and negative COVID-19 cases in the state. SARS-CoV-2 IgG and IgM test results were entered into the Epi Info questionnaire administered simultaneously with each test. Epi Info was then used to calculate the arithmetic mean and percentage, odds ratio, χ2 statistic, and regression at a 95% CI of the data generated. Results: The seroprevalence of SARS-CoV-2 in Niger State was found to be 25.4% (47/185) and 2.2% (4/185) for the positive IgG and IgM results, respectively. Seroprevalence among age groups, genders, and occupations varied widely. The COVID-19 asymptomatic rate in the state was found to be 46.8% (22/47). The risk analyses showed that the chances of infection are almost the same for both urban and rural dwellers in the state. However, health care workers, those who experienced flulike symptoms, and those who had contact with a person who traveled out of Nigeria in the last 6 months (February to June 2020) were at double the risk of being infected with the virus. More than half (101/185, 54.6%) of the participants in this study did not practice social distancing at any time since the pandemic started. Participants' knowledge, attitudes, and practices regarding COVID-19 are also discussed. Conclusions: The observed Niger State SARS-CoV-2 seroprevalence and infection patterns meansuggest that the virus has widely spread, far more SARS-CoV-2 infections have occurred than the reported cases, and there is a high asymptomatic COVID-19 rate across the state.

Ursolic acid as a potential inhibitor of Mycobacterium tuberculosis cytochrome bc1 oxidase-a molecular modelling perspective.

The escalating burden of tuberculosis disease and drastic effects of current medicine has stimulated a search for alternative drugs. A medicinal plant Warburgia salutaris has been reported to possess inhibitory properties against M. tuberculosis. In this study, we apply computational methods to investigate the probability of W. salutaris compounds as potential inhibitors of M. tuberculosis QcrB protein. We performed molecular docking, molecular dynamics simulations, radius of gyration, principal component analysis (PCA), and molecular mechanics-generalized born surface area (MM-GBSA) binding-free energy calculations in explicit solvent to achieve our objective. The results suggested that ursolic acid (UA) and ursolic acid acetate (UAA) could serve as preferred potential inhibitors of mycobacterial QcrB compared to lansoprazole sulphide (LSPZ) and telacebec (Q203)-UA and UAA have a higher binding affinity to QcrB compared to LSPZ and Q203 drugs. UA binding affinity is attributed to hydrogen bond formation with Val120, Arg364 and Arg366, and largely resonated from van der Waals forces resulting from UA interactions with hydrophobic amino acids in its vicinity. UAA binds to the porphyrin ring binding site with higher binding affinity compared to LSPZ. The binding affinity results primarily from van der Waals forces between UAA and hydrophobic residues of QcrB in the porphyrin ring binding site where UAA binds competitively. UA and UAA formed stable complexes with the protein with reduced overall residue mobility, consequently supporting the magnitude of binding affinity of the respective ligands. UAA could potentially compete with the porphyrin ring for the binding site and deprive the mycobacterial cell from oxygen, consequently disturbing mycobacterial oxygen-dependent metabolic processes. Therefore, discovery of a compound that competes with porphyrin ring for the binding site may be useful in QcrB pharmocological studies. UA proved to be a superior compound, although its estimated toxicity profile revealed UA to be hepatotoxic within acceptable parameters. Although preliminary findings of this report still warrant experimental validation, they could serve as a baseline for the development of new anti-tubercular drugs from natural resources that target QcrB.

A consequence of drug targeting of aminoacyl-tRNA synthetases in Mycobacteriumtuberculosis.

Drug-resistant Mycobacterium tuberculosis poses a great threat to public health and remains one of the red-flag tagged infectious diseases, with the tendency of comorbidity with other disease conditions such as HIV/AIDS. This perhaps is responsible for redoubling of effort in tuberculosis research and continuous change in patient management to optimize the drug therapy. Aminoacyl-tRNA synthetases are essential enzymes in M. tuberculosis that catalyse the transfer of a particular amino acid to its corresponding specific tRNA to form an aminoacyl-tRNA. These enzymes are believed to be novel antibacterial, antifungal and antiparasitic drug targets because of their role in the process of protein translation. Therefore, their existence as a compliment of M. tuberculosis has attracted a lot of research interest with the aim of curbing the scourge and provide the most effective drug in the treatment of tuberculosis. This leads to the discovery of a pool of aminoacyl-tRNA synthetases with their essential inhibitors. This review seeks to articulate the current advances in the development of new TB drugs exhibiting novelty in their mode of action with specific emphasis on aminoacyl-tRNA synthetases as drug targets.

Antibiotic resistance: bioinformatics-based understanding as a functional strategy for drug design.

The use of antibiotics to manage infectious diseases dates back to ancient civilization, but the lack of a clear distinction between the therapeutic and toxic dose has been a major challenge. This precipitates the notion that antibiotic resistance was from time immemorial, principally because of a lack of adequate knowledge of therapeutic doses and continuous exposure of these bacteria to suboptimal plasma concentration of antibiotics. With the discovery of penicillin by Alexander Fleming in 1924, a milestone in bacterial infections' treatment was achieved. This forms the foundation for the modern era of antibiotic drugs. Antibiotics such as penicillins, cephalosporins, quinolones, tetracycline, macrolides, sulphonamides, aminoglycosides and glycopeptides are the mainstay in managing severe bacterial infections, but resistant strains of bacteria have emerged and hampered the progress of research in this field. Recently, new approaches to research involving bacteria resistance to antibiotics have appeared; these involve combining the molecular understanding of bacteria systems with the knowledge of bioinformatics. Consequently, many molecules have been developed to curb resistance associated with different bacterial infections. However, because of increased emphasis on the clinical relevance of antibiotics, the synergy between in silico study and in vivo study is well cemented and this facilitates the discovery of potent antibiotics. In this review, we seek to give an overview of earlier reviews and molecular and structural understanding of bacteria resistance to antibiotics, while focusing on the recent bioinformatics approach to antibacterial drug discovery.

Density functional theory study of gold(III)-dithiocarbamate complexes with characteristic anticancer potentials.

The application of gold as drug candidate dated back to 2500 BC and its relevance in medicine became more appealing following 1985 FDA approval of ingested Auranofin for the treatment of rheumatoid arthritis. In this study, we have provided a density functional theory (DFT) study of some gold(III)-dithiocarbamate complexes with characteristic anticancer potentials. DFT calculation of the reactivity and selectivity properties of these complexes with an enzyme template of thioredoxin reductase (TrxR) was carried out. The investigation proceeds with theoretical characterization of the selected compounds through spectroscopic analyses. IR and UV-vis analyses were carried out and the calculated values are comparable to experimental results. NMR assignment was determined for the gold compounds and the estimated theoretical chemical shift values agree with available experimental data from literature. The obtained DFT-based chemical parameters proved to be significant in evaluating the selectivity, reactivity and stability of the gold(III) complexes as potential anticancer moieties, specifically against TrxR. Calculated binding free energy gave similar order with the available in vitro inhibition profile of these gold(III)-dithiocarbamate complexes against TrxR. The outcome of this DFT study could serve as a useful guide towards future design of new and potent anticancer drug candidate. The investigated chemical reactivity properties could be considered and applied to a wide range of bioactive compounds and enzyme-inhibitor systems.

An analogue of a kinase inhibitor exhibits subjective characteristics that contribute to its inhibitory activities as a potential anti-cancer candidate: insights through computational biomolecular modelling of UM-164 binding with lyn protein.

The recent emergence of lyn kinase as a driver of aggressive behaviour in triple-negative breast cancer (TNBC) remains a major concern posing a burden for people living with breast cancer and drug development. The binding of UM-164 to lyn protein has been noted to impact the conformational dynamics required for drug fitness. Herein, we provide the first account of the molecular impact of an experimental drug, UM-164 binding on lyn protein using various computational approaches including molecular docking and molecular dynamics simulation. These computational modelling methods enabled us to analyse parameters, for example principal component analysis (PCA), dynamics cross-correlation matrices (DCCM) analysis, hydrogen bond occupancy, thermodynamics calculation and ligand-residue interaction. Findings from these analyses revealed that UM-164 exhibited a higher binding affinity of -9.9 kcal mol-1 with lyn protein than Dasatinib, with a binding affinity of -8.3 kcal mol-1 on docking. It was observed that the binding of UM-164 to lyn protein decreases the capacity of its loop to fluctuate, influences the ligand optimum orientation on the conformational space of lyn protein, and increases the hydrogen bond formation in the lyn-UM-164 system. Also, an increase in drug binding energy of UM-164 was recorded with increasing residue correlation in the lyn-UM-164 system. It is quite informative to note that Met85 was a key stabilising factor in the binding of UM-164 to lyn protein. These findings can provide important insights that will potentially serve as a baseline in the design of novel lyn inhibitors. It could also stimulate further research into multidimensional approaches required to curb the influence of lyn protein in TNBC.

Emergence of a Promising Lead Compound in the Treatment of Triple Negative Breast Cancer: An Insight into Conformational Features and Ligand Binding Landscape of c-Src Protein with UM-164.

UM-164, a potent Src/p38 inhibitor, is a promising lead compound for developing the first targeted therapeutic strategy against triple-negative breast cancer (TNBC). However, lack of understanding of conformational features of UM-164 in complex with Src serves a challenge in the rational design of novel Src dual inhibitors. Herein, we provide an in-depth insight into conformational features of Src-UM-164 using different computational approaches. This involved molecular dynamics (MD) simulation, principal component analysis (PCA), thermodynamics calculations, dynamic cross-correlation (DCCM) analysis, and hydrogen bond formation. Findings from this study revealed that (1) the binding of UM-164 to Src induces a more stable and compact conformation; (2) the binding of UM-164 results in increased correlation among the active site residue; (3) the presence of multiple phenyl rings and fluorinated phenyl group in UM-164 contributes to the steric effect; (4) a relatively high-binding free energy estimated for the Src-UM-164 system is affirmative of its experimental potency; (5) hydrophobic packing contributes significantly to the drug binding in Src-UM-164; and (6) observed increase in H-bond distance of interacting residue atoms and Dasatinib compared to UM-164. Findings from this study can serve as a baseline in the design of novel Src inhibitors with dual inhibitory properties.

Re-emergence of an orphan therapeutic target for the treatment of resistant prostate cancer - a thorough conformational and binding analysis for ROR-γ protein.

Recent studies have linked a deadly form of prostate cancer known as metastatic castration-resistant prostate cancer to retinoic acid-related orphan-receptor gamma (ROR-γ). Most of these studies continued to place ROR-γ as orphan because of unidentifiable inhibitor. Recently identified inhibitors of ROR-γ and their therapeutic potential were evaluated, among which inhibitor XY018 was the potent. However, molecular understanding of the conformational features of XY018-ROR-γ complex is still elusive. Herein, molecular dynamics simulations were conducted on HC9-ROR-γ and XY018-ROR-γ complexes to understand their conformational features at molecular level and the influence of XY018 binding on the dynamics of ROR-γ with the aid of post-dynamic analytical tools. These include; principal component analysis, radius of gyration, binding free energy calculation (MM/GBSA), per-residue fluctuation and hydrogen bond occupancy. Findings from this study revealed that (1) hydrophobic packing contributes significantly to binding free energy, (2) Ile136 and Leu60 exhibited high hydrogen-bond occupancy in XY018-ROR-γ and HC9-ROR-γ, respectively, (3) XY018-ROR-γ displayed a relatively high loop region residue fluctuation compared to HC9-ROR-γ, (4) electrostatic interactions are a potential binding force in XY018-ROR-γ complex compared to HC9-ROR-γ, (5) XY018-ROR-γ assumes a rigid conformation which is highlighted by a decrease in residual fluctuation, (6) XY018 could potentially induce pseudoporphyria, nephritis and interstitial nephritis but potentially safe in renal failure. This study could serve as a base line for the design of new potential ROR-γ inhibitors.

Metal complexes in cancer therapy - an update from drug design perspective.

In the past, metal-based compounds were widely used in the treatment of disease conditions, but the lack of clear distinction between the therapeutic and toxic doses was a major challenge. With the discovery of cisplatin by Barnett Rosenberg in 1960, a milestone in the history of metal-based compounds used in the treatment of cancers was witnessed. This forms the foundation for the modern era of the metal-based anticancer drugs. Platinum drugs, such as cisplatin, carboplatin and oxaliplatin, are the mainstay of the metal-based compounds in the treatment of cancer, but the delay in the therapeutic accomplishment of other metal-based compounds hampered the progress of research in this field. Recently, however, there has been an upsurge of activities relying on the structural information, aimed at improving and developing other forms of metal-based compounds and nonclassical platinum complexes whose mechanism of action is distinct from known drugs such as cisplatin. In line with this, many more metal-based compounds have been synthesized by redesigning the existing chemical structure through ligand substitution or building the entire new compound with enhanced safety and cytotoxic profile. However, because of increased emphasis on the clinical relevance of metal-based complexes, a few of these drugs are currently on clinical trial and many more are awaiting ethical approval to join the trial. In this review, we seek to give an overview of previous reviews on the cytotoxic effect of metal-based complexes while focusing more on newly designed metal-based complexes and their cytotoxic effect on the cancer cell lines, as well as on new approach to metal-based drug design and molecular target in cancer therapy. We are optimistic that the concept of selective targeting remains the hope of the future in developing therapeutics that would selectively target cancer cells and leave healthy cells unharmed.

The impact of Thr91 mutation on c-Src resistance to UM-164: molecular dynamics study revealed a new opportunity for drug design.

The emergence of a drug resistant non-receptor tyrosine kinase (c-Src) in triple-negative breast cancer (TNBC) remains a prime concern in relation to the burden of TNBC among people living with breast cancer and drug development. Thr91 mutation was found to induce a complete loss of protein conformation required for drug fitness. Herein, we provide the first account of the molecular impact of the Thr91 mutation on c-Src resistance to experimental drug UM-164 using various computational approaches, namely molecular dynamics simulation, principal component analysis (PCA), dynamic cross-correlation matrices (DCCM) analysis, hydrogen bond occupancy, thermodynamics calculation, ligand-residue interaction and residue interaction networks (RINs). Findings from this study revealed that Thr91 mutation leads to a steric conflict between UM-164 and the side chain of methionine (Met91); this mutation distorts the UM-164 optimum orientation on the conformational space of mutant c-Src compared to the wild-type; decreases hydrogen bond formation between the residues in the mutant protein structure; decreases the UM-164 binding energy in the mutant by -13.416 kcal mol-1; reduces the residue correlation in the mutant protein structure; induces a change in the overall protein structure conformation from an inactive to active conformation; and distorts the ligand atomic interaction network and the residue interaction network. This report provides important insights that will assist in the further design of novel dual kinase inhibitors to minimise the chances of drug resistance in triple negative breast cancer.