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Molecular docking of the scorpion toxin Tc1 to the structural model of the voltage-gated potassium channel Kv1.1 from human Homo sapiens.

In this study, structural model of the pore loop region of the voltage-gated potassium channel Kv1.1 from human Homo sapiens was constructed based on the crystallographic structure of KcsA by structural homology. The pore loop region of Kv1.1 exhibits similar folds as that of KcsA. The structural feature of the selectivity filter of Kv1.1 is nearly identical to that of KcsA, whereas most of the structural variations occur in the turret as well as in the inner and outer helices. Molecular docking experiments of the scorpion toxin Tc1 from Tityus cambridgei to the outer vestibule of KcsA as well as Kv1.1 were subsequently performed with various initial Tc1 orientations. Tc1 was found to form the most stable complexes with these two K+ channels when the side chain of Lys14 occupies the pore of the selectivity filter through electrostatic interaction. Tc1 binds preferentially towards Kv1.1 than KcsA due to stronger hydrophobic and electrostatic interactions formed between the toxin and the selectivity filter and outer vestibule of Kv1.1. Furthermore, surface complementarity of the outer vestibules of the channels to the Tc1 spatial conformations also plays an important role in stabilizing both the Tc1/KcsA and Tc1/Kv1.1 complexes.

Amino Acid Sequence↗

Sequence-alignment modelling and molecular docking studies of the epoxygenase component of alkene monooxygenase from Nocardia corallina B-276.

Whole cells of Nocardia corallina B-276 catalyse the stereoselective epoxygenation of alkenes to chiral epoxides. The bacterium expresses an enzyme, alkene monooxygenase, which catalyses the epoxygenation reaction stereoselectively. The enzyme consists of a terminal oxygenase (epoxygenase), an NADH-dependent reductase (reductase) and a regulatory component (coupling protein). The epoxygenase component contains a bridged diiron centre similar to that found in the hydroxylase component of soluble methane monooxygenase. Sequence-alignment modelling, supported by chemical modification and fluorescence probing, identified a hydrophobic oxygen/substrate binding site within the epoxygenase. The diiron centre was coordinated by the two His and two Glu residues from two conserved Glu-Xaa-Xaa-His sequences and by two further Glu residues. Molecular docking of substrates and products into the proposed active-site model of the epoxygenase suggested that Ala91 and Ala185 were responsible for the stereoselectivity exerted by AMO. It is proposed that these residues clamped the intermediate and/or product of the reaction, thereby controlling the configuration of the epoxide produced. In soluble methane monooxygenase these residues are replaced by two Gly residues which do not provide sufficient steric hindrance to prevent rotation of the intermediate in the active site and, therefore, the product of the reaction catalysed by this enzyme is achiral.

Amino Acid Sequence↗

Molecular docking studies on interaction of diverse retinol structures with human alcohol dehydrogenases predict a broad role in retinoid ligand synthesis.

Some members of the human alcohol dehydrogenase (ADH) family possess retinol dehydrogenase activity and may thus function in production of the active nuclear receptor ligand retinoic acid. Many diverse natural forms of retinol exist including all-trans-retinol (vitamin A(1)), 9-cis-retinol, 3,4-didehydroretinol (vitamin A(2)), 4-oxo-retinol, and 4-hydroxy-retinol as well as their respective carboxylic acid derivatives which are active ligands for retinoid receptors. This raises the question of whether ADHs can accommodate all these different retinols and thus participate in the activation of several retinoid ligands. The crystal structures of human ADH1B and ADH4 provide the opportunity to examine their active sites for potential binding to many diverse retinol structures using molecular docking algorithms. The criteria used to score successful docking included achievement of distances of 1.9-2.4 A between the catalytic zinc and the hydroxyl oxygen of retinol and 3.2-3.6 A between C-4 of the coenzyme NAD and C-15 of retinol. These distances are sufficient to enable hydride transfer during the oxidation of an alcohol to an aldehyde. By these criteria, all-trans-retinol, 4-oxo-retinol, and 4-hydroxy-retinol were successfully docked to both ADH1B and ADH4. However, 9-cis-retinol and 3,4-didehydroretinol, which have more restrictive conformations, were successfully docked to only ADH4 which possesses a wider active site than ADH1B and more easily accommodates the C-19 methyl group. Furthermore, docking of all retinols was more favorable in the active site of ADH4 rather than ADH1B as measured by force field and contact scores. These findings suggest that ADH1B has a limited capacity to metabolize retinols, but that ADH4 is well suited to function in the metabolism of many diverse retinols and is predicted to participate in the synthesis of the active ligands all-trans-retinoic acid, 9-cis-retinoic acid, 3, 4-didehydroretinoic acid, 4-oxo-retinoic acid, and 4-hydroxy-retinoic acid.

Alcohol Dehydrogenase↗

Biological and molecular docking studies on coagulin-H: Human IL-2 novel natural inhibitor.

Withanolide, coagulin-H (1), was evaluated for its effect on various cellular functions related to immune response including lymphocyte proliferation, and expression of interleukin-2 (IL-2) cytokine, and results were compared with prednisolone (2), a commonly used immune modulating drug. Coagulin-H (1) was found to have a powerful inhibitory effect on lymphocyte proliferation and Th-1 cytokine production. Inhibition of the phytohaemagglutinin (PHA)-activated T-cell proliferation by coagulin-H (1) was observed in a concentration dependent manner. A complete suppression of PHA-activated T-cell was observed at > or =2.5 microg/mL concentrations of compound (1) and this suppression activity was similar to that of prednisolone (2). Coagulin-H (1) also significantly inhibited IL-2 production by 80%. The interactions of coagulin-H (1) (a natural inhibitor) and prednisolone (2) (a drug) to IL-2 were also investigated in order to understand the differences in their effects on T-cell responses. This paper also describes the results of molecular docking study on IL-2 inhibition. Docking studies predicted that coagulin-H (1) binds to receptor binding site of IL-2 more effectively than prednisolone (2). Based on the computational and the experimental results, coagulin-H (1) was identified as a potential immunosuppressive candidate.

Animals↗

Molecular docking study on the "back door" hypothesis for product clearance in acetylcholinesterase.

Acetylcholinesterase (AChE) is one of the fastest enzymes known, even though the active site is buried inside the protein at the end of a 20-A deep narrow gorge. Among the great variety of crystal structures of this enzyme, both in the absence and presence of various ligands and proteins, the structure of a complex of AChE with the pseudo-irreversible inhibitor Mf268 is of particular interest, as it assists in the proposal of a back door for product clearance from the active site. Binding of Mf268 to AChE results in the carbamoylation of Ser200 and liberation of an eseroline-fragment as the leaving group. The crystal structure of the AChE-Mf268 complex, however, proves that eseroline has escaped from the enzyme, despite the fact that the Ser-bound inhibitor fragment blocks the gorge entrance. The existence of alternative routes other than through the gorge for product clearance has been postulated but is still controversially discussed in the literature, as an experimental proof for such a back door is still missing. We have used Monte Carlo-based molecular docking methods in order to examine possible alternative pathways that could allow eseroline to be released from the protein after being cleaved from the substrate by Ser200. Based on our results, a short channel at the bottom of the gorge seems to be the most probable back-door site, which begins at amino acid Trp84 and ends at the enzyme surface in a cavity close to amino acid Glu445. [Figure: see text].

Acetylcholinesterase↗

Molecular docking study and development of an empirical binding free energy model for phosphodiesterase 4 inhibitors.

In the present work, several computational methodologies were combined to develop a model for the prediction of PDE4B inhibitors' activity. The adequacy of applying the ligand docking approach, keeping the enzyme rigid, to the study of a series of PDE4 inhibitors was confirmed by a previous molecular dynamics analysis of the complete enzyme. An exhaustive docking procedure was performed to identify the most probable binding modes of the ligands to the enzyme, including the active site metal ions and the surrounding structural water molecules. The enzyme-inhibitor interaction enthalpies, refined by using the semiempirical molecular orbital approach, were combined with calculated solvation free energies and entropy considerations in an empirical free energy model that enabled the calculation of binding free energies that correlated very well with experimentally derived binding free energies. Our results indicate that both the inclusion of the structural water molecules close to the ions in the binding site and the use of a free energy model with a quadratic dependency on the ligand free energy of solvation are important aspects to be considered for molecular docking investigations involving the PDE4 enzyme family.

3',5'-Cyclic-AMP Phosphodiesterases↗

Olive leaf protein hydrolysates yield gastro-resistant peptides with antioxidant and anti-inflammatory potential: peptidomics, in vitro validation and molecular docking analyses.

Olive (Olea europaea L.) leaves are an abundant olive-oil by-product and a promising feedstock for sustainable valorisation. An olive leaf protein isolate (OLPI) from olive-leaf powder (OLP) was enzymatically hydrolysed to yield seven hydrolysates (OLPHs). All showed notable antioxidant activity as whole hydrolysate matrices (EC₅₀ = 0.11-0.28 mg mL-1); likely reflecting the combined contribution of released peptides and co-extracted phenolic compounds; the 15-min Alcalase product (OLPH15A) showed high activity with the shortest processing time. Its INFOGEST digest (dOLPH15A) attenuated LPS-induced inflammation in Caco-2 cells, down-regulating pro-inflammatory and up-regulating anti-inflammatory genes. Peptidomics identified 7037 peptides in OLPH15A and 534 in dOLPH15A, from which twenty gastro-resistant sequences were prioritised for in silico analysis. Multi-tool prediction and docking highlighted four peptides, GAAGGIGQPL, QSAYPGTGPL, GGGAGGGDGGIL and LDAQFPGVN, with favourable predicted affinity for the TLR4/MD2 complex, suggesting that they may contribute to the observed immunomodulatory response. These findings position olive leaves as a viable source of protein hydrolysate-based ingredients with antioxidant and anti-inflammatory potential, advancing the valorisation of olive-oil by-products.

Olea↗

Essential structural profile of a dual functional inhibitor against cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX): molecular docking and 3D-QSAR analyses on DHDMBF analogues.

It is recently proposed that compounds with equal capabilities of inhibiting COX and 5-LOX, both are key enzymes involved in the arachidonic acid (AA) cascade, are expected to be safer non-steroidal anti-inflammatory drugs (NSAIDs). To dig out helpful information in designing dual functional inhibitors against the two enzymes, homology modeling, molecular dynamics (MD) simulations, automated docking, and 3D-QSAR analyses were performed in this study on 21 COX-2/5-LOX dual inhibitors, namely, 7-tert-butyl-2,3-dihydro-3,3-dimethylbenzofuran (DHDMBF) analogues. A 3D-model of 5-LOX was built based on the high-resolution X-ray structure of rabbit reticulocyte 15-lipoxygenase. Molecular docking was then applied to locate the binding orientations and conformations of DHDMBF analogues with COX-2 and 5-LOX, respectively, leading to highly predictive CoMFA models constructed on the basis of the binding conformations with q2 values of 0.782 and 0.634 for COX-2 and 5-LOX, respectively. In addition, CoMFA field distributions were found in good agreement with the structural characteristics of the corresponding binding sites. Both the docking simulations and QSAR analyses suggest that new potent dual inhibitors should share a structural feature with a moderately bulky group at R2 position and a rather negatively charged group around the position of the carbonyl group of DHDMBFs. Therefore, the final 3D-QSAR models and the information of the inhibitor-enzyme interaction should be useful in developing new NSAIDs as anti-inflammation drugs with favorable safety profile.

Amino Acid Sequence↗

Molecular docking of superantigens with class II major histocompatibility complex proteins.

The molecular recognition of two superantigens with class II major histocompatibility complex molecules was simulated by using protein-protein docking. Superantigens studied were staphylococcal enterotoxin B (SEB) and toxic shock syndrome toxin-1 (TSST-1) in their crystallographic assemblies with HLA-DR1. Rigid-body docking was performed sampling configurational space of the interfacial surfaces by employing a strategy of partitioning the contact regions on HLA-DR1 into separate molecular recognition units. Scoring of docked conformations was based on an electrostatic continuum model evaluated with the finite-difference Poisson-Boltzmann method. Estimates of nonpolar contributions were derived from the buried molecular surface areas. We found for both superantigens that docking the HLA-DR1 surface complementary with the SEB and TSST-1 contact regions containing a homologous hydrophobic surface loop provided sufficient recognition for the reconstitution of native-like conformers exhibiting the highest-scoring free energies. For the SEB complex, the calculations were successful in reproducing the total association free energy. A comparison of the free-energy determinants of the conserved hydrophobic contact residue indicates functional similarity between the two proteins for this interface. Though both superantigens share a common global association mode, differences in binding topology distinguish the conformational specificities underlying recognition.

Algorithms↗

Decoys for docking.

Molecular docking is widely used to predict novel lead compounds for drug discovery. Success depends on the quality of the docking scoring function, among other factors. An imperfect scoring function can mislead by predicting incorrect ligand geometries or by selecting nonbinding molecules over true ligands. These false-positive hits may be considered "decoys". Although these decoys are frustrating, they potentially provide important tests for a docking algorithm; the more subtle the decoy, the more rigorous the test. Indeed, decoy databases have been used to improve protein structure prediction algorithms and protein-protein docking algorithms. Here, we describe 20 geometric decoys in five enzymes and 166 "hit list" decoys-i.e., molecules predicted to bind by our docking program that were tested and found not to do so-for beta-lactamase and two cavity sites in lysozyme. Especially in the cavity sites, which are very simple, these decoys highlight particular weaknesses in our scoring function. We also consider the performance of five other widely used docking scoring functions against our geometric and hit list decoys. Intriguingly, whereas many of these other scoring functions performed better on the geometric decoys, they typically performed worse on the hit list decoys, often highly ranking molecules that seemed to poorly complement the model sites. Several of these "hits"from the other scoring functions were tested experimentally and found, in fact, to be decoys. Collectively, these decoys provide a tool for the development and improvement of molecular docking scoring functions. Such improvements may, in turn, be rapidly tested experimentally against these and related experimental systems, which are well-behaved in assays and for structure determination.

Acetylcholinesterase↗

Molecular docking programs successfully predict the binding of a beta-lactamase inhibitory protein to TEM-1 beta-lactamase.

Crystallization of the 1:1 molecular complex between the beta-lactamase TEM-1 and the beta-lactamase inhibitory protein BLIP has provided an opportunity to put a stringent test on current protein-docking algorithms. Prior to the successful determination of the structure of the complex, nine laboratory groups were given the refined atomic coordinates of each of the native molecules. Other than the fact that BLIP is an effective inhibitor of a number of beta-lactamase enzymes (KI for TEM-1 approximately 100 pM) no other biochemical or structural data were available to assist the practitioners in their molecular docking. In addition, it was not known whether the molecules underwent conformational changes upon association or whether the inhibition was competitive or non-competitive. All six of the groups that accepted the challenge correctly predicted the general mode of association of BLIP and TEM-1.

Amino Acid Sequence↗

Orientational sampling and rigid-body minimization in molecular docking.

The biological activities of proteins depend on specific molecular recognition and binding. Computational methods for predicting binding modes can facilitate the discovery and design of ligands and yield information on the factors governing complementarity. The DOCK suite of programs has been applied to several systems; here, the degree of orientational sampling required to reproduce and identify known binding modes, with and without rigid-body energy minimization, is investigated for four complexes. There is a tradeoff between sampling and minimization. The known binding modes can be identified with intensive sampling alone (10,000 to 20,000 orientations generated per system) or with moderate sampling combined with minimization. Optimization improves energies significantly, particularly when steric clashes are present, and brings many orientations closer to the experimentally observed position. Whether or not minimization is performed, however, sampling must be sufficient to find at least one structure in the vicinity of the presumed true binding mode. Hybrid approaches combining docking and minimization are promising and will become more viable with the use of faster algorithms and the judicious selection of fewer orientations for minimization.

Carboxypeptidases↗

Accurate prediction of the bound conformation of galanthamine in the active site of Torpedo californica acetylcholinesterase using molecular docking.

The alkaloid (-)-galanthamine is known to produce significant improvement of cognitive performances in patients with the Alzheimer's disease. Its mechanism of action involves competitive and reversible inhibition of acetylcholinesterase (AChE). Herein, we correctly predict the orientation and conformation of the galanthamine molecule in the active site of AChE from Torpedo californica (TcAChE) using a combination of rigid docking and flexible geometry optimization with a molecular mechanics force field. The quality of the predicted model is remarkable, as indicated by the value of the RMS deviation of approximately 0.5A when compared with the crystal structure of the TcAChE-galanthamine complex. A molecular model of the complex between TcAChE and a galanthamine derivative, SPH1107, with a long chain substituent on the nitrogen has been generated as well. The side chain of this ligand is predicted to extend along the enzyme active site gorge from the anionic subsite, at the bottom, to the peripheral anionic site, at the top. The docking procedure described in this paper can be applied to produce models of ligand-receptor complexes for AChE and other macromolecular targets of drug design.

Acetylcholinesterase↗

Inhibitory mechanism of anthocyanin B-ring substituents on advanced glycation end-product formation through bovine serum albumin binding: Insights from multispectral, molecular docking and proteomics approaches.

This study demonstrated that the inhibitory effect of anthocyanins on AGEs formation is highly dependent on the substitution pattern of the B-ring. Among the four anthocyanins, delphinidin-3-O-glucoside (D3G) exhibited the most potent antiglycation activity across BSA-fructose, MGO, and GO models with half-maximal inhibitory concentration (IC50) of 30.77, 200.29 and 269.97 μM. This superior performance was attributed to the presence of three hydroxyl groups on the B-ring, which facilitates a high-affinity, spontaneous binding interaction with BSA primarily through hydrophobic forces and hydrogen bonding. Spectroscopic and computational analyses revealed that D3G effectively stabilizes the protein scaffold, specifically recovering α-helix content and shielding critical subdomains (IB, IIA, and IIIA). Proteomics data are consistent with a protective binding mechanism, suggesting that D3G reduces the accessibility of key lysine and arginine residues to glycation-induced modifications. These findings provide a structural basis for developing D3G-rich extracts as targeted, structure-based functional ingredients to mitigate glycation-associated food quality degradation and related health issues.

Anthocyanins↗

Pharmacophore-based molecular docking to account for ligand flexibility.

Rapid computational mining of large 3D molecular databases is central to generating new drug leads. Accurate virtual screening of large 3D molecular databases requires consideration of the conformational flexibility of the ligand molecules. Ligand flexibility can be included without prohibitively increasing the search time by docking ensembles of precomputed conformers from a conformationally expanded database. A pharmacophore-based docking method whereby conformers of the same or different molecules are overlaid by their largest 3D pharmacophore and simultaneously docked by partial matches to that pharmacophore is presented. The method is implemented in DOCK 4.0.

Algorithms↗

Aspects of the mechanism of catalysis of glucose oxidase: a docking, molecular mechanics and quantum chemical study.

The complex structure of glucose oxidase (GOX) with the substrate glucose was determined using a docking algorithm and subsequent molecular dynamics simulations. Semiempirical quantum chemical calculations were used to investigate the role of the enzyme and FAD co-enzyme in the catalytic oxidation of glucose. On the basis of a small active site model, substrate binding residues were determined and heats of formation were computed for the enzyme substrate complex and different potential products of the reductive half reaction. The influence of the protein environment on the active site model was estimated with a point charge model using a mixed QM/MM method. Solvent effects were estimated with a continuum model. Possible modes of action are presented in relation to experimental data and discussed with respect to related enzymes. The calculations indicate that the redox reaction of GOX differs from the corresponding reaction of free flavins as a consequence of the protein environment. One of the active site histidines is involved in substrate binding and stabilization of potential intermediates, whereas the second histidine is a proton acceptor. The former one, being conserved in a series of oxidoreductases, is also involved in the stabilization of a C4a-hydroperoxy dihydroflavin in the course of the oxidative half reaction.

Aspergillus niger↗

Structure-based discovery of human L-xylulose reductase inhibitors from database screening and molecular docking.

Human L-xylulose reductase (XR) is an enzyme of the glucuronic acid/uronate cycle of glucose metabolism and is a possible target for treatment of the long-term complications of diabetes. In this study we utilised the molecular modelling program DOCK to analyse the 249,071 compounds of the National Cancer Institute Database and retrieved those compounds with high predicted affinity for XR. Several carboxylic acid-based compounds were tested and shown to inhibit XR. These included nicotinic acid (IC50=100 microM), benzoic acid (IC50=29 microM) and their derivatives. These results extend and improve upon the activities of known, commercially available inhibitors of XR such as the aliphatic fatty acid n-butyric acid (IC50=64 microM). To optimise the interaction between the inhibitor and the holoenzyme, the program GRID was used to design de novo compounds based on the inhibitor benzoic acid. The inclusion of a hydroxy-phenyl group and a phosphate to the benzoic acid molecule increased the net binding energy by 1.3- and 2.4-fold, respectively. The resultant compounds may produce inhibitors with improved specificity for XR.

Binding Sites↗

Zhiling Jiangya decoction treats hypertension in rats: An integrative study of network pharmacology, immune infiltration, molecular simulation, and 16S rDNA sequencing.

OBJECTIVE: This study integrated network pharmacology, immune infiltration analysis, molecular docking, molecular dynamics simulation, ADMET prediction, 16S rDNA sequencing, and rat experiments to elucidate the potential mechanisms underlying the antihypertensive effects of Zhiling Jiangya Decoction (ZLJYD). METHODS: Active compounds and their potential targets were screened from the PubChem, TCMSP, NovoPro, and SwissTargetPrediction databases. Hypertension-related targets were retrieved from the OMIM and GeneCards databases, and overlapping targets were identified. The STRING database and Cytoscape 3.10.1 software were used to construct a protein-protein interaction network and a herb-component-target-disease network. Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed to identify the key biological processes and signaling pathways involved. Using the CIBERSORT algorithm combined with correlation analysis, we investigated the association between key targets and immune cell infiltration. Molecular docking, molecular dynamics simulations, and ADMET predictions were performed to assess the binding stability and pharmacokinetic properties of the main compounds with their corresponding targets. Finally, the antihypertensive efficacy of ZLJYD was validated using a spontaneously hypertensive rat model, and alterations in gut microbiota were analyzed using 16S rDNA sequencing. RESULTS: A total of 123 active compounds and 267 hypertension-related targets of ZLJYD were identified. Enrichment analysis revealed that these targets were primarily associated with the PI3K-Akt signaling pathway and lipid and atherosclerosis pathways. Immune infiltration analysis suggested that the therapeutic effects of ZLJYD may involve the regulation of follicular helper T cells, naïve B cells, and naïve CD4⁺ T cells. Molecular docking and dynamics simulations supported the stable binding of key compounds to their target proteins, while ADMET predictions indicated favorable pharmacokinetic properties and safety profiles. Rat experiments demonstrated that ZLJYD significantly reduced blood pressure in spontaneously hypertensive rats, partially alleviated gut microbiota dysbiosis, and altered microbial community structure and phylogenetic diversity. CONCLUSION: This study systematically elucidates the potential mechanisms underlying the antihypertensive effects of ZLJYD through multiple components, targets, and pathways, particularly immune regulation and gut microbiota remodeling. These findings provide mechanistic insights into its potential therapeutic application.

16S rDNA sequencing↗