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Substrate mimetics in protease catalysis: characteristics, kinetics, and synthetic utility.

This article reviews the latest developments in protease-catalyzed peptide synthesis focusing on the use of substrate mimetics. The substrate mimetics approach takes advantage of the characteristic of this novel type of substrates to direct the enzyme to recognize an alternative site on the acyl donor, i.e. the site-specific ester leaving group, mediating the acceptance of originally poorly reactive acyl moieties. At first the kinetics and catalytic mechanism of substrate mimetics-mediated reactions are discussed on the basis of hydrolysis, peptide synthesis, protein-ligand docking, and molecular dynamics studies. By the example of the Glu-specific V8 protease and the aromatic amino acid-specific chymotrypsin both the empirical and computer-aided design of specific substrate mimetics is described. The influence of the leaving group specifically recognized by the enzyme is also considered. The benefits of these artificial substrates over common acyl donor components are illustrated by selected synthesis reactions of small peptides, peptide isosteres, non-peptidic carboxylic acid amides, and the coupling of peptide fragments at non-specific ligation sites resulting in biologically active peptide products. Finally, this review focuses on critical syntheses that uses specific-amino acid-containing peptides as the reactants of ligation. Based on these, the restrictions of the substrate mimetics approach is critically discussed and techniques to their overcoming are presented.

Acylation↗

[Screening of new HIV inhibitors based on the database of traditional Chinese medicine].

AIM: To report the preliminary result of the HIV inhibitor screening based on cheminformatics tools and the traditional Chinese medicine database. METHODS: Database search was carried out with saquinavir molecule as a template, further screening was made with docking. Detailed studies using molecular dynamics simulation of 50 ps and 200 ps were made with respect to a potential leading compound, leucovorin. RESULTS: The leucovorin molecule distinguished from other molecules as a potential drug candidate and is subject to extensive studies. The bonding profile and energy were calculated with MD simulations. CONCLUSION: Our results could be very helpful when we modify leucovorin or design new inhibitors against HIV.

Anti-HIV Agents↗

Network pharmacology and molecular docking to explore the active compounds and mechanisms of Jerusalem artichoke for treating diabetes.

The effective components and mechanism of Jerusalem artichokes (JAs) in lowering blood glucose were studied through network pharmacology and molecular docking. The active compounds of Jerusalem artichoke were obtained by referring to the literature, and the active compounds were screened. The targets were predicted by the SwissTargetPrediction database, and the disease targets were screened using GeneCard, Disgenet, and OMIM databases. The protein-protein interaction (PPI) network diagram was constructed using the STRING database, and the intersection target was analyzed by gene ontology (GO) biological function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using the David database. Finally, molecular docking was verified using AutoDockTools1.5.7 software. After screening, 412 gene targets, 476 disease targets, and 64 intersection targets were identified. The results of GO biological function analysis and KEGG pathway analysis showed that the technology was involved in multiple biological processes and regulatory pathways for hypoglycemia, such as the HIF-1, PI3K-Akt, and AMPK signaling pathways. Molecular docking results showed that Jasmonate, Liquiritigenin and Inulin of JAs had strong binding effects with PPARG and STAT3. JAs exert hypoglycemic effects through multi-component, multi-target and multi-pathway. In summary, this study investigated the hypoglycemic mechanism of JAs using network pharmacology and molecular interconnection technology, and concluded that JAs exert hypoglycemic effects through multiple components, targets, and pathways, which provides a theoretical basis for the study of JAs.

Molecular Docking Simulation↗

Molecular modeling studies of the artemisinin (qinghaosu)-hemin interaction: docking between the antimalarial agent and its putative receptor.

Artemisinin (qinghaosu, QHS) is a promising new antimalarial agent that is effective against drug-resistant strains of malaria. The antimalarial activity of this drug appears to be mediated by an interaction of the drug's endoperoxide bridge with intraparasitic hemin. We have carried out a computer-assisted docking of QHS with hemin from various starting configurations and found that, in the most stable docked configuration, the endoperoxide bridge is in close proximity to the hemin iron. In contrast, an inactive analog, deoxyartemisinin (DQHS), docks in a different manner. Further computer analysis of the drug-hemin interaction might aid in the design of new QHS congeners.

Antimalarials↗

Toxicological effects of propyl 4-hydroxybenzoate on gallstone pathogenesis: An integrated mendelian randomization, network toxicology, and experimental study.

BACKGROUND: Gallstone disease is a prevalent digestive disorder with substantial global socioeconomic burden. Propyl 4-hydroxybenzoate (PP), a widely used paraben preservative, exhibits potential metabolic and hepatic toxicity, yet its role in gallstone pathogenesis remains unclear. This study aimed to explore the causal association between PP exposure and gallstone formation and the underlying mechanism. METHODS: Two-sample Mendelian randomization (MR) was performed using genome-wide association study (GWAS) data. Network toxicology, molecular docking, and molecular dynamics simulation were applied to screen for core targets. In vivo experiments, transcriptome sequencing, Western blot (WB), and ELISA were conducted for mechanistic validation. RESULTS: MR confirmed a causal link between circulating PP levels and an elevated risk of gallstones (P&#x202f;<&#x202f;0.05), with AKT1 identified as the key target. In mice, PP aggravated gallstone formation by activating the AKT1-NF-&#x3ba;B-CXCL1 pathway, enhancing hepatic inflammation and neutrophil extracellular traps (NETs) formation; these effects were reversed by AKT inhibition. CONCLUSION: PP promotes gallstone formation via the AKT1-NF-&#x3ba;B-CXCL1-NETs axis. Our findings highlight PP as an environmental risk factor for gallstones, providing novel insights into their prevention and targeted therapy.

Animals↗

Functional characterization of peanut serine/threonine/tyrosine protein kinase: molecular docking and inhibition kinetics with tyrosine kinase inhibitors.

Serine/threonine/tyrosine (STY) protein kinase from peanut is developmentally regulated and is induced by abiotic stresses. In addition, STY protein kinase activity is regulated by tyrosine phosphorylation. Kinetic mechanism of plant dual specificity protein kinases is not studied so far. Recombinant STY protein kinase occurs as a monomer in solution as shown by gel filtration chromatography. The relative phosphorylation rate of kinase against increasing enzyme concentrations follows a first-order kinetics indicating an intramolecular phosphorylation mechanism. Moreover, the active recombinant STY protein kinase could not transphosphorylate a kinase-deficient mutant of STY protein kinase. Molecular docking studies revealed that the tyrosine kinase inhibitors bind the protein kinase at the same region as ATP. STY protein kinase activity was inhibited by the tyrosine kinase inhibitors, and the inhibitor potency series against the recombinant STY protein kinase was tyrphostin > genistein > staurosporine. The inhibition constant (K(i)), and the IC(50) value of STY protein kinase for tyrosine kinase inhibitors with ATP and histone are discussed. All the inhibitors competed with ATP. Genistein was an uncompetitive inhibitor with histone, whereas staurosporine and tyrphostin were linear mixed type noncompetitive inhibitors with histone. Molecular docking and kinetic analysis revealed that Y148F mutant of the "ATP-binding loop" and Y297F mutant of the "activation loop" showed a dramatic increase in K(i) values for genistein and tyrphostin with respect to wild-type STY protein kinase. Data presented here provide the direct evidence on the mechanism of inhibition of plant protein kinases by tyrosine kinase inhibitors. This study also suggests that tyrosine kinase inhibitors may be useful in unraveling the plant tyrosine phosphorylation signaling cascades.

Adenosine Triphosphate↗

Subtype selectivity and flexibility of ionotropic glutamate receptors upon antagonist ligand binding.

The binding modes of a set of known ionotropic glutamate receptor antagonist-ligands have been studied using homology modeling, molecular docking, molecular dynamics (MD) simulations and ab initio quantum mechanical calculations. The core structure of the studied ligands is the decahydroisoquinoline ring, which has a carboxylic acid group at position three and different negatively-charged substituents (R) at position six. The binding affinities of these molecules have been reported earlier. From the current study, the carboxylate group of the decahydroisoquinoline ring hydrogen bonds with Arg485, the amino group with Pro478 and Thr480, and the negatively charged substituent R interacts with the positively charged N-terminus of helix-F. The subtype selectivity of these ligands seems to be strongly dependent on the amino acid at position 650 (GluR2: leucine, GluR5: valine), which affects the conformation of the ligand and ligand-receptor interactions, but depends considerably on the size of the R-group of the ligand. In addition, the MD simulations also revealed that the relative positions of the S1 and S2 domains can alter significantly showing different "closure" and "rotational movements" depending on the antagonist-ligand that is bound. Accordingly, molecular docking of antagonist ligands into static crystal structures cannot sufficiently explain ligand binding and subtype selectivity.

Amino Acid Sequence↗

Active site acidic residues and structural analysis of modelled human aromatase: a potential drug target for breast cancer.

This study sheds new light on the role of acidic residues present in the active site cavity of human aromatase. Eight acidic residues (E129, D222, E245, E302, D309, E379, D380 and D476) lining the cavity are identified and studied using comparative modeling, docking, molecular dynamics as well as statistical techniques. The structural environment of these acidic residues is studied to assess the stability of the corresponding carboxylate anions. Results indicate that the environment of the residues E245, E302 and D222 is most suitable for carboxylate ion formation in the uncomplexed form. However, the stability of D309, D222 and D476 anions is seen to increase on complexation to steroidal substrates. In particular, the interaction between D309 and T310, which assists proton transfer, is found to be formed following androgen/nor-androgen complexation. The residue D309 is found to be clamped in the presence of substrate which is not observed in the case of the other residues although they exhibit changes in properties following substrate binding. Information entropic analysis indicates that the residues D309, D222 and D476 have more conformational flexibility compared to E302 and E245 prior to substrate binding. Interaction similar to that between D476 and D309, which is expected to assist androgen aromatization, is proposed between E302 and E245. The inhibition of aromatase activity by 4-hydroxy androstenedione (formestane) is attributed to a critical hydrogen bond formation between the hydroxy moiety and T310/D309 as well as the large distance from D476. The results corroborate well with earlier site directed mutagenesis studies.

Amino Acids, Acidic↗

TCGA-based identification of prognostic biomarkers and candidate traditional Chinese medicine compounds in papillary thyroid carcinoma: An observational study.

This study aimed to identify prognostic genes associated with papillary thyroid carcinoma (PTC) and explore candidate traditional Chinese medicine (TCM) compounds using integrated bioinformatics and molecular docking. In this observational study, PTC gene expression profiles and clinical data were obtained from The Cancer Genome Atlas. Differentially expressed genes were screened using differential-expression sequencing (DESeq2), followed by protein-protein interaction network analysis to identify hub genes. Their expression, diagnostic value, immune relevance, prognostic significance, protein-level validation, and single-cell distribution were assessed using gene expression profiling interactive analysis, receiver operating characteristic analysis, immune infiltration analysis, Kaplan-Meier survival analysis, the human protein atlas, and single-cell RNA-sequencing data. Candidate TCM compounds were predicted using symptom mapping (SymMap) and the TCM Systems Pharmacology Database and Analysis Platform, and molecular docking was performed to evaluate potential ligand-target interactions. Five hub genes, colony-stimulating factor 2, apolipoprotein E, fibronectin 1 (FN1), collagen type I alpha 1 chain (COL1A1), and intercellular adhesion molecule 1, were identified and found to be significantly upregulated in PTC tissues, with diagnostic value in receiver operating characteristic analysis. Immune infiltration analysis showed associations with macrophages, dendritic cells, and T helper 1 cells, whereas single-cell analysis demonstrated heterogeneous expression across immune and stromal cell populations, including fibroblasts. Higher FN1 and COL1A1 expression was associated with poorer outcomes. Immunohistochemistry supported the expression patterns, while single-cell analysis provided exploratory cell-type-level context for the cellular distribution of selected genes. Ginseng and Smilax glabra were predicted as common candidate TCMs, and docking suggested favorable binding between their active compounds and selected hub targets. Colony-stimulating factor 2, apolipoprotein E, FN1, COL1A1, and intercellular adhesion molecule 1 may be biologically relevant hub genes in PTC, while FN1 and COL1A1 may have prognostic value. Predicted TCM compounds provide preliminary computational evidence for possible compound-target interactions, requiring experimental and clinical validation.

Female↗

Studying enzyme binding specificity in acetylcholinesterase using a combined molecular dynamics and multiple docking approach.

A combined molecular dynamics simulation and multiple ligand docking approach is applied to study the binding specificity of acetylcholinesterase (AChE) with its natural substrate acetylcholine (ACh), a family of substrate analogues, and choline. Calculated docking energies are well correlated to experimental k(cat)/K(M) values, as well as to experimental binding affinities of a related series of TMTFA inhibitors. The "esteratic" and "anionic" subsites are found to act together to achieve substrate binding specificity. We find that the presence of ACh in the active site of AChE not only stabilizes the setup of the catalytic triad but also tightens both subsites to achieve better binding. The docking energy gained from this induced fit is 0.7 kcal/mol for ACh. For the binding of the substrate tailgroup to the anionic subsite, both the size and the positive charge of the tailgroup are important. The removal of the positive charge leads to a weaker binding of 1 kcal/mol loss in docking energy. Substituting each tail methyl group with hydrogen results in both an incremental loss in docking energy and also a decrease in the percentage of structures docked in the active site correctly set up for catalysis.

Acetophenones↗

A new molecular simulation software package--Peking University Drug Design System (PKUDDS) for structure-based drug design.

We present a comprehensive molecular simulation program package, the Peking University Drug Design System (PKUDDS), which runs on personal computers. PKUDDS has been developed mainly for computer-aided drug design using the methods of two-dimensional quantitative structure-activity relationships, three-dimensional quantitative structure-activity relationships, molecular docking, and database screening. This study presents an overview of its functionality, especially of methods developed in our group. PKUDDS uses genetic algorithms in molecular docking, conformational analysis, and quantitative structure-activity relationships as the most useful optimization technique. A user-friendly graphical interface provides easy access to many functions of PKUDDS. We report some examples of our considerable research using PKUDDS.

Antineoplastic Agents↗

The molecular basis for ligand specificity in a mouse olfactory receptor: a network of functionally important residues.

Sequence differences between members of the mouse olfac-tory receptor MOR42 subfamily (MOR42-3 and MOR42-1) are likely to be the basis for variation in ligand binding preference among these receptors. We investigated the specificity of MOR42-3 for a variety of dicarboxylic acids. We used site-directed mutagenesis, guided by homology modeling and ligand docking studies, to locate functionally important residues. Receptors were expressed in Xenopus oocytes and assayed using high throughput electrophysiology. The importance of the Val-113 residue, located deep within the receptor, was analyzed in the context of interhelical interactions. We also screened additional residues predicted to be involved in ligand binding site, based on comparison of ortholog/paralog pairs from the mouse and human olfactory receptor genomes (Man, O., Gilad, Y., and Lancet, D. (2004) Protein Sci. 13, 240-254). A network of 8 residues in transmembrane domains III, V, and VI was identified. These residues form part of the ligand binding pocket of MOR42-3. C12 dicarboxylic acid did not activate the receptor in our functional assay, yet our docking simulations predicted its binding site in MOR42-3. Binding without activation implied that C12 dicarboxylic acid might act as an antagonist. In our functional assay, C12 dicarboxylic acid did indeed act as an antagonist of MOR42-3, in agreement with molecular docking studies. Our results demonstrate a powerful approach based on the synergy between computational predictions and physiological assays.

Animals↗

Allosteric binding sites on muscarinic acetylcholine receptors.

In this issue of Molecular Pharmacology, Tränkle et al. (p. 1597) present new findings regarding the existence of a second allosteric site on the M2 muscarinic acetylcholine receptor (M2 mAChR). The M2 mAChR is a prototypic class A G protein-coupled receptor (GPCR) that has proven to be a very useful model system to study the molecular mechanisms involved in the binding of allosteric GPCR ligands. Previous studies have identified several allosteric muscarinic ligands, including the acetylcholinesterase inhibitor tacrine and the bis-pyridinium derivative 4,4'-bis-[(2,6-dichloro-benzyloxy-imino)-methyl]-1,1'-propane-1,3-diyl-bis-pyridinium dibromide (Duo3), which, in contrast to conventional allosteric muscarinic ligands, display concentration-effect curves with slope factors >1. By analyzing the interactions of tacrine and Duo3 with other allosteric muscarinic agents predicted to bind to the previously identified ;common' allosteric binding site, Tränkle et al. provide evidence suggesting that two allosteric agents and one orthosteric ligand may be able to bind to the M2 mAChR simultaneously. Moreover, studies with mutant mAChRs indicated that the M2 receptor epitopes involved in the binding of tacrine and Duo3 may not be identical. Molecular modeling and ligand docking studies suggested that the additional allosteric site probably represents a subdomain of the receptor's allosteric binding cleft. Because allosteric binding sites have been found on many other GPCRs and drugs interacting with these sites are thought to have great therapeutic potential, the study by Tränkle et al. should be of considerable general interest.

Allosteric Site↗

Selective inhibition of trypsin by (2R,4R)-4-phenyl-1-[Nalpha-(7- methoxy-2-naphthalenesulfonyl)-L-arginyl]-2-piperidinecarboxylic acid.

Evidence is accumulating indicating that trypsin stimulates divergent cellular reactions through the proteinase-activated receptor, in addition to its role as the digestive enzyme. In this report, we introduce (2R,4R)- 4-phenyl-1-[N(alpha)-(7-methoxy-2-naphthalenesulfonyl)-l-arginyl]- 2-p iperidinecarboxylic acid as a potent and selective trypsin inhibitor. The agent inhibited trypsin competitively with the K(i) value of 0. 1 micrometer. It inhibited thrombin weakly (K(i) = 2 micrometer) and did not inhibit plasmin, plasma kallikrein, urokinase, and mast cell tryptase (K(i) values for these enzymes are >60 micrometer). Comparative studies with several established proteinase inhibitors revealed that the compound was the first small molecular weight trypsin inhibitor without tryptase inhibitory activity. A docking study has provided a plausible explanation for the molecular mechanism of the selective inhibition showing that the agent fits into the active site of trypsin without any severe collision but that it comes into clash at the 4-phenyl group of piperidine ring against the "60-insertion loop" of thrombin and at the 7-methoxy-2-naphthalenesulfonyl group against Gln(98) of tryptase.

Amino Acid Sequence↗

Strategies to design pyrazolyl urea derivatives for p38 kinase inhibition: a molecular modeling study.

The p38 protein kinase is a serine-threonine mitogen activated protein kinase, which plays an important role in inflammation and arthritis. A combined study of 3D-QSAR and molecular docking has been undertaken to explore the structural insights of pyrazolyl urea p38 kinase inhibitors. The 3D-QSAR studies involved comparative molecular field analysis (CoMFA) and comparative molecular similarity indices (CoMSIA). The best CoMFA model was derived from the atom fit alignment with a cross-validated r (2 )(q (2)) value of 0.516 and conventional r (2) of 0.950, while the best CoMSIA model yielded a q (2) of 0.455 and r (2) of 0.979 (39 molecules in training set, 9 molecules in test set). The CoMFA and CoMSIA contour maps generated from these models provided inklings about the influence of interactive molecular fields in the space on the activity. GOLD, Sybyl (FlexX) and AutoDock docking protocols were exercised to explore the protein-inhibitor interactions. The integration of 3D-QSAR and molecular docking has proffered essential structural features of pyrazolyl urea inhibitors and also strategies to design new potent analogues with enhanced activity.

Drug Design↗

Combining docking and molecular dynamic simulations in drug design.

A rational approach is needed to maximize the chances of finding new drugs, and to exploit the opportunities of potential new drug targets emerging from genomic and proteomic initiatives, and from the large libraries of small compounds now readily available through combinatorial chemistry. Despite a shaky early history, computer-aided drug design techniques can now be effective in reducing costs and speeding up drug discovery. This happy outcome results from development of more accurate and reliable algorithms, use of more thoughtfully planned strategies to apply them, and greatly increased computer power to allow studies with the necessary reliability to be performed. Our review focuses on applications and protocols, with the main emphasis on critical analysis of recent studies where docking calculations and molecular dynamics (MD) simulations were combined to dock small molecules into protein receptors. We highlight successes to demonstrate what is possible now, but also point out drawbacks and future directions. The review is structured to lead the reader from the simpler to more compute-intensive methods. Thus, while inexpensive and fast docking algorithms can be used to scan large compound libraries and reduce their size, more accurate but expensive MD simulations can be applied when a few selected ligand candidates remain. MD simulations can be used: during the preparation of the protein receptor before docking, to optimize its structure and account for protein flexibility; for the refinement of docked complexes, to include solvent effects and account for induced fit; to calculate binding free energies, to provide an accurate ranking of the potential ligands; and in the latest developments, during the docking process itself to find the binding site and correctly dock the ligand a priori.

Computer Simulation↗

Docking and database screening reveal new classes of Plasmodium falciparum dihydrofolate reductase inhibitors.

Plasmodium falciparum dihydrofolate reductase (PfDHFR) is an important target for antimalarial chemotherapy. Unfortunately, the emergence of resistant parasites has significantly reduced the efficiency of classical antifolate drugs such as cycloguanil and pyrimethamine. In this study, an approach toward molecular docking of the structures contained in the Available Chemicals Directory (ACD) database to search for novel inhibitors of PfDHFR is described. Instead of docking the whole ACD database, specific 3D pharmacophores were used to reduce the number of molecules in the database by excluding a priori molecules lacking essential requisites for the interaction with the enzyme and potentially unable to bind to resistant mutant PfDHFRs. The molecules in the resulting "focused" database were then evaluated with regard to their fit into the PfDHFR active site. Twelve new compounds whose structures are completely unrelated to known antifolates were identified and found to inhibit, at the micromolar level, the wild-type and resistant mutant PfDHFRs harboring A16V, S108T, A16V + S108T, C59R + S108N + I164L, and N51I + C59R + S108N + I164L mutations. Depending on the functional groups interacting with key active site residues of the enzyme, these inhibitors were classified as N-hydroxyamidine, hydrazine, urea, and thiourea derivatives. The structures of the complexes of the most active inhibitors, as refined by molecular mechanics and molecular dynamics, provided insight into how these inhibitors bind to the enzyme and suggested prospects for these novel derivatives as potential leads for antimalarial development.

Animals↗

Proteomic regulation of anti-proliferative and anti-migratory activity by potent phytochemicals from Pistacia integerrima J.L. Steward Ex Brandis via PI3K, AKT1, and KRAS for Lung Cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) is the leading cause of mortality worldwide and remains a major therapeutic challenge due to high metastasis, drug resistance and limited treatments. Pistacia integerrima J.L. Steward Ex Brandis (PI) consists of flavonoids, steroids, terpenoids and phenolic compounds reported for pharmacological activities. The efficacy of potent bioactives from P. integerrima may be ascertained employing cytotoxic, antiproliferative, anti-migratory, and anti-metastatic evaluations in A549 NSCLC cells with proteomic profiling, molecular docking, and dynamics simulation study. METHODS AND RESULTS: PI EtAc produced significant dose-dependent cytotoxicity in A549 cells (100&#xa0;&#xb5;g/mL, p&#x2009;<&#x2009;0.0001 in the MTT assay. There was a pronounced decrease in colony formation after treatment with EtAc, with 18.41% (p&#x2009;<&#x2009;0.002), and markedly. Furthermore. PI EtAC markedly inhibited cell migration emphasized by wound healing and Transwell migration (p&#x2009;<&#x2009;0.01) assays, indicating reduced metastatic migratory potential. Proteomic analysis demonstrated significant downregulation of Endoglin (CD105), KLK5 and MMP-2, indicating suppression of angiogenic and metastatic signalling pathways in the Human XL Oncology protein array. The interaction of major PI phytochemicals with key NSCLC-associated targets was recorded in Molecular docking, revealing favourable binding affinities of kaempferol, &#x3b2;- sitosterol, luteolin, and quercetin towards several oncogenic targets, including AKT1(-&#x2009;7.6&#xa0;kcal/mol), PI3K(-&#x2009;9.4&#xa0;kcal/mol), KRAS (-&#x2009;8.5&#xa0;kcal/mol) and MMP9 (-&#x2009;8.1&#xa0;kcal/mol). Molecular dynamics simulation confirmed the structural stability of the kaempferol -AKT1 complex throughout the 100 ns simulation. CONCLUSION: Pistacia integerrima bioactives exhibited significant anti-proliferative, anti-migratory, and anti-metastatic activities in vitro, which may provide scientific rationale identifying newer promising candidates for NSCLC.

Humans↗