PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Molecular Docking Simulation”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,351 records · Page 75Linked to original sources

A theory of protein-resin interaction in hydrophobic interaction chromatography.

Docking simulations were performed in order to investigate surface area of interaction between several ribonucleases and a reduced model for the hydrophobic moiety used in Phenyl Sepharose using the program AutoDock 3.0. For each ribonucelase, 80 independent simulations with populations consisting of 100 random structures were performed and from these the most probable docked protein-ligand conformations were obtained. A new methodology was used to select the most probable conformations, based on qualitative and quantitative considerations. The interacting amino acids in each protein were identified. The average surface hydrophobicity of the interfacial zone (local hydrophobicity, LH) was determined. The LH showed a high correlation level (r2 = 0.99) with the "hydrophobic contact area" (HCA) experimentally determined for the different ribonucleases as well as with the dimensionless retention time (r2 = 0.90). This study allowed us to identify the zones on the protein surface most probably involved in protein retention in HIC, without tedious experimental work. Given the good correlation level obtained, this new methodology may constitute a novel approach that could be used to predict protein behavior in HIC.

Binding Sites↗

Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure.

Finding novel leads from which to design drug molecules has traditionally been a matter of screening and serendipity. We present a method for finding a wide assortment of chemical structures that are complementary to the shape of a macromoleculer receptor site whose X-ray crystallographic structure is known. Each of a set of small molecules from the Cambridge Crystallographic Database (Allen; et al. J. Chem. Doc. 1973, 13, 119) is individually docked to the receptor in a number of geometrically permissible orientations with use of the docking algorithm developed by Kuntz et al. (J. Mol. Biol. 1982, 161, 269). The orientations are evaluated for goodness-of-fit, and the best are kept for further examination using the molecular mechanics program AMBER (Weiner; Kollman J. Comput. Chem. 1981, 106, 765). The shape-search algorithm finds known ligands as well as novel molecules that fit the binding site being studied. The highest scoring orientations of known ligands resemble binding modes generated by interactive modeling or determined crystallographically. We describe the application of this procedure to the binding sites of papain and carbonic anhydrase. While the compounds recovered from the Cambridge Crystallographic Database are not, themselves, likely to be inhibitors or substrates of these enzymes, we expect that the structures from such searches will be useful in the design of active compounds.

Algorithms↗

Protein classification using comparative molecular interaction profile analysis system.

We recently introduced a new molecular description factor, interaction profile Factor (IPF) that is useful for evaluating molecular interactions. IPF is a data set of interaction energies calculated by the Comparative Molecular Interaction Profile Analysis system (CoMIPA). CoMIPA utilizes AutoDock 3.0 docking program, and the system has shown to be a powerful tool in clustering the interacting properties between small molecules and proteins. In this report, we describe the application of CoMIPA for protein clustering. A sample set of 15 proteins that share less than 20% homology and have no common functional motifs in primary structure were chosen. Using CoMIPA, we were able to cluster proteins that bound to the same small molecule. Other structural homology-based clustering programs such as PSI-BLAST or PFAM were unable to achieve the same classification. The results are striking because it is difficult to find any common features in the active sites of these proteins that share the same ligand. CoMIPA adds new dimensions for protein classification and has the potential to be a helpful tool in predicting and analyzing molecular interactions.

Algorithms↗

Synthesis and receptor docking studies of N-substituted indole-2-carboxylic acid esters as a search for COX-2 selective enzyme inhibitors.

A series of N-substituted indole-2-carboxylic acid esters have been prepared by replacing the benzoyl group of indomethacin with a benzyl and a phenyl group. The carbocyclic acid side chain was extended via creating an ester structure by using several dialkylaminoalkyl groups. The receptor docking studies were performed to investigate the docking mode of each compound by using DOCK 4.0. All the compounds were shown to be docked at the site where intact flurbiprofen was embedded for COX-1 and s-58 (1-phenylsulphonamide-3-trifluoromethyl-5-para-bromophenylpyrazole) for COX-2. It was predicted that N-phenyl-indole-2-carboxylic acid piperazine ester 22 can be a fairly strong COX-2 selective compound which was compared to the others. Other predicted COX-2 selective compounds included are N--H indole-2-carboxylic acid diethyl 30 and piperazine 34 esters. In view of these findings, compounds 22, 30 and 34 were chosen for the in vitro biological assays.

Animals↗

Analysis of human cytochrome P450 2C8 substrate specificity using a substrate pharmacophore and site-directed mutants.

The structural determinants of substrate specificity of human liver cytochrome P450 2C8 (CYP2C8) were investigated using site-directed mutants chosen on the basis of a preliminary substrate pharmacophore and a three-dimensional (3D) model. Analysis of the structural features common to CYP2C8 substrates exhibiting a micromolar K(m) led to a substrate pharmacophore in which the site of oxidation by CYP2C8 is 12.9, 8.6, 4.4, and 3.9 A from features that could establish ionic or hydrogen bonds, and hydrophobic interactions with protein amino acid residues. Comparison of this pharmacophore with a 3D model of CYP2C8 constructed using the X-ray structure of CYP2C5 suggested potential CYP2C8 amino acid residues that could be involved in substrate recognition. Twenty CYP2C8 site-directed mutants were constructed and expressed in yeast to compare their catalytic activities using five CYP2C8 substrates that exhibit different structures and sizes [paclitaxel, fluvastatin, retinoic acid, a sulfaphenazole derivative (DMZ), and diclofenac]. Mutation of arginine 241 had marked effects on the hydroxylation of anionic substrates of CYP2C8 such as retinoic acid and fluvastatin. Serine 100 appears to be involved in hydrogen bonding interactions with a polar site of the CYP2C8 substrate pharmacophore, as shown by the 3-4-fold increase in the K(m) of paclitaxel and DMZ hydroxylation after the S100A mutation. Residues 114, 201, and 205 are predicted to be in close contact with substrates, and their mutations lead either to favorable hydrophobic interactions or to steric clashes with substrates. For instance, the S114F mutant was unable to catalyze the 6alpha-hydroxylation of paclitaxel. The S114F and F205A mutants were the best catalysts for retinoic acid and paclitaxel (or fluvastatin) hydroxylation, respectively, with k(cat)/K(m) values 5 and 2.1 (or 2.4) times higher, respectively, than those found for CYP2C8. Preliminary experiments of docking of the substrate into the experimentally determined X-ray structure of substrate-free CYP2C8, which became available quite recently [Schoch, G. A., et al. (2004) J. Biol. Chem. 279, 9497], were consistent with key roles for S100, S114, and F205 residues in substrate binding. The results suggest that the effects of mutation of arginine 241 on anionic substrate hydroxylation could be indirect and result from alterations of the packing of helix G with helix B'.

Amiodarone↗

Identification of novel extracellular signal-regulated kinase docking domain inhibitors.

The extracellular signal regulated kinase (ERK1 and ERK2) signal transduction pathways play a critical role in cell proliferation. Hyperactivation of the ERK proteins either through increased expression of membrane-bound growth factor receptors or genetic mutations of upstream proteins is thought to be involved in the pathogenesis of many human cancers. Thus, targeted inhibition of ERK signaling is viewed as a potential approach to prevent cancer cell proliferation. Currently, no specific inhibitors of the ERK proteins exist. Moreover, most kinase inhibitors lack specificity because they target the ATP binding region, which is well conserved among the protein kinase families. Taking advantage of recently identified ERK docking domains, which are reported to facilitate substrate protein interactions, we have used computer-aided drug design (CADD) to identify novel small molecular weight ERK inhibitors. Following a CADD screen of over 800 000 molecules, 80 potential compounds were selected and tested for activity in biological assays. Several compounds inhibited ERK-specific phosphorylation of ribosomal S6 kinase-1 (Rsk-1) or the ternary complex factor Elk-1 (TCF/Elk-1), both of which are involved in promoting cell proliferation. Active compounds showed a dose-dependent reduction in the proliferation of several cancer cell lines as measured by colony survival assays. Direct binding between the active compounds and ERK2 was indicated by fluorescence quenching. These active compounds may serve as lead candidates for development of novel specific inhibitors of ERK-substrate interactions involved in cell proliferation.

Binding Sites↗

Computer modeling of gibberellin-DNA binding.

Computer modeling and molecular mechanics performed on the intercalation complexes of selected gibberellins or biosynthetic precursors with DNA dinucleotides revealed that under appropriate conditions the ligands insert (intercalate) between the base-paired double-stranded dinucleotide, 5'-dTdA-3'. Stabilization of the double-stranded dinucleotide after docking of a gibberellin between base pairs is inferred by the sum negative energy of hydrogen bonding and van der Waals contacts and the entropic changes which accompany the formation of each ligand-dinucleotide complex. In addition, the interactions of the gibberellins and dinucleotides, with the gibberellic acid-dinucleotide complex serving as the prototype, show optimum geometry and stereochemical hydrogen bonding recognition which are dependent upon the complementary chirality and stereochemistry of the individual components. Whether or not the gibberellins directly influence the uncoiling of DNA or gene expression at the transcriptional level via an intercalation mechanism is a matter of conjecture, albeit one that warrants intensive investigation.

Computer Simulation↗

Heteronuclear NMR and soft docking: an experimental approach for a structural model of the cytochrome c553-ferredoxin complex.

The combination of docking algorithms with NMR data has been developed extensively for the studies of protein-ligand interactions. However, to extend this development for the studies of protein-protein interactions, the intermolecular NOE constraints, which are needed, are more difficult to access. In the present work, we describe a new approach that combines an ab initio docking calculation and the mapping of an interaction site using chemical shift variation analysis. The cytochrome c553-ferredoxin complex is used as a model of numerous electron-transfer complexes. The 15N-labeling of both molecules has been obtained, and the mapping of the interacting site on each partner, respectively, has been done using HSQC experiments. 1H and 15N chemical shift analysis defines the area of both molecules involved in the recognition interface. Models of the complex were generated by an ab initio docking software, the BiGGER program (bimolecular complex generation with global evaluation and ranking). This program generates a population of protein-protein docked geometries ranked by a scoring function, combining relevant stabilization parameters such as geometric complementarity surfaces, electrostatic interactions, desolvation energy, and pairwise affinities of amino acid side chains. We have implemented a new module that includes experimental input (here, NMR mapping of the interacting site) as a filter to select the accurate models. Final structures were energy minimized using the X-PLOR software and then analyzed. The best solution has an interface area (1037.4 A2) falling close to the range of generally observed recognition interfaces, with a distance of 10.0 A between the redox centers.

Amino Acid Sequence↗

Computational and conformational evaluation of FTase alternative substrates: insight into a novel enzyme binding pocket.

Protein farnesyltransferase (FTase) is an important anticancer drug target. In an effort to develop isoprenoid diphosphate-based FTase inhibitors, striking variations have been observed in the ability of conservatively modified analogues to bind to the enzyme. For example, 2Z-GGPP is an alternative substrate with high binding affinity, while GGPP is not an alternative substrate. Using the availability of high-resolution FTase crystal structures, we have used pharmacophore and docking studies to elucidate a new binding pocket for isoprenoid analogues. The unique conformations between the first two isoprene units of 2Z-GGPP, but not GGPP, allows 2Z-GGPP to exploit this new binding pocket. The discovered conformation allows the molecule to adopt a reactive conformation while placing hydrophobic groups within the predominately hydrophobic binding pocket. This computational finding is supported by NMR studies on (13)C-labeled 2Z-farnesol, which confirm that the computationally predicted conformation is also favored in solution. These discoveries suggest that ligand conformational flexibility may be an important design consideration for the development of both inhibitors and alternative substrates of FTase.

Binding Sites↗

Microtubule structure at improved resolution.

Microtubule architecture can vary with eukaryotic species, with different cell types, and with the presence of stabilizing agents. For in vitro assembled microtubules, the average number of protofilaments is reduced by the presence of sarcodictyin A, epothilone B, and eleutherobin (similarly to taxol) but increased by taxotere. Assembly with a slowly hydrolyzable GTP analogue GMPCPP is known to give 96% 14 protofilament microtubules. We have used electron cryomicroscopy and helical reconstruction techniques to obtain three-dimensional maps of taxotere and GMPCPP microtubules incorporating data to 14 A resolution. The dimer packing within the microtubule wall is examined by docking the tubulin crystal structure into these improved microtubule maps. The docked tubulin and simulated images calculated from "atomic resolution" microtubule models show tubulin heterodimers are aligned head to tail along the protofilaments with the beta subunit capping the microtubule plus end. The relative positions of tubulin dimers in neighboring protofilaments are the same for both types of microtubule, confirming that conserved lateral interactions between tubulin subunits are responsible for the surface lattice accommodation observed for different microtubule architectures. Microtubules with unconventional protofilament numbers that exist in vivo are likely to have the same surface lattice organizations found in vitro. A curved "GDP" tubulin conformation induced by stathmin-like proteins appears to weaken lateral contacts between tubulin subunits and could block microtubule assembly or favor disassembly. We conclude that lateral contacts between tubulin subunits in neighboring protofilaments have a decisive role for microtubule stability, rigidity, and architecture.

Actin Cytoskeleton↗

[Computer drug design based on analysis of a target macromolecule structure. I. Search and description of a ligand binding site in a target molecule].

The applicability of molecular docking method for finding of ligand binding site in a target protein was tested. The basic principle of tested approach consists in generation of hypotheses of protein-ligand complexes by molecular docking of small ligand to all surface of protein. The subsequent scoring of these hypotheses utilizes the values of contact surfaces and complex formation energy. The docking procedure was executed using the original software DockSearch running on PC Pentium or SGI computers. A set of hypotheses of probable ligand positions on the protein surface was created and evaluated with the help of DockSearch. Energy minimization of molecular complexes was done using Sybyl 6.5 (Tripos Inc.) running on SGI server Origin 200. The final set of the best hypotheses of complexes were selected by the values of contact surfaces and complex formation energy. The applicability and the limits of this approach was tested using known 3D structures of different proteins in free state and in complexes with ligands. For most target proteins the method allows to find the ligand binding site correctly. The accuracy of description of ligand binding site is adequate for subsequent searching of lead compounds by database mining. The reasons of some negative results obtained in testing of this approach are also discussed.

Binding Sites↗

Berberine potently inhibits protein tyrosine phosphatase 1B: investigation by docking simulation and experimental validation.

Berberine was investigated as an inhibitor of human protein tyrosine phosphatase 1B (h-PTP 1B) in an attempt to explain its anti-hyperglycemic activitiy. The investigation included simulated docking experiments to fit berberine within the binding pocket of h-PTP 1B. Berberine was found to readily fit within the binding pocket of h-PTP 1B in a low energy orientation characterized with optimal electrostatic attractive interactions bridging the isoquinolinium positively charged nitrogen atom of berberine and the negatively charged acidic residue of ASP 48 of h-PTP 1B. Experimentally, berberine was found to potently competitively inhibit recombinant h-PTP 1B in vitro (Ki value = 91.3 nM). Our findings strongly suggest that h-PTP 1B inhibition is at least one of the reasons for the reported anti-hyperglycemic activities of berberine.

Berberine↗

Homology-modeled ligand-binding domains of zebrafish estrogen receptors alpha, beta1, and beta2: from in silico to in vivo studies of estrogen interactions in Danio rerio as a model system.

Homology models were constructed for the ligand-binding domains of zebrafish estrogen receptors (zfERs) alpha, beta(1), and beta(2). Estradiol-binding sites are nearly identical in zfERs and their human homologs, suggesting that zebrafish will serve as a good model system for studying human ER-binding drugs. Conversely, studies of endocrine disruptor effects on zebrafish will benefit from the wealth of data available on xenoestrogen interactions with human ERs. Compounds flagged by the Interagency Coordinating Committee on the Validation of Alternative Methods for endocrine disruptor screening were docked into our zfER homology models. Ideally, these in silico docking studies would be complemented with in vivo binding studies. To this end, fluorescently tagged estradiol was docked into zfERalpha and found to bind in the same manner as in human ERalpha, with fluorescein preferentially occupying a region between helices 11 and 12. Fluorescently tagged estradiol was synthesized and was found to localize along the path of primordial germ cell migration in the developing zebrafish embryo 3 d after fertilization, consistent with previous reports of 1) a role for estradiol in sex determination, and 2) the first appearance of ERs 2 d after fertilization. These data provide a foundation for future in silico and in vivo binding studies of estrogen agonists and antagonists with zebrafish ERs.

Amino Acid Sequence↗

Kinetic model of ethopropazine interaction with horse serum butyrylcholinesterase and its docking into the active site.

The action of a potent tricyclic cholinesterase inhibitor ethopropazine on the hydrolysis of acetylthiocholine and butyrylthiocholine by purified horse serum butyrylcholinesterase (EC 3.1.1.8) was investigated at 25 and 37 degrees C. The enzyme activities were measured on a stopped-flow apparatus and the analysis of experimental data was done by applying a six-parameter model for substrate hydrolysis. The model, which was introduced to explain the kinetics of Drosophila melanogaster acetylcholinesterase [Stojan et al. (1998) FEBS Lett. 440, 85-88], is defined with two dissociation constants and four rate constants and can describe both cooperative phenomena, apparent activation at low substrate concentrations and substrate inhibition by excess of substrate. For the analysis of the data in the presence of ethopropazine at two temperatures, we have enlarged the reaction scheme to allow primarily its competition with the substrate at the peripheral site, but the competition at the acylation site was not excluded. The proposed reaction scheme revealed, upon analysis, competitive effects of ethopropazine at both sites; at 25 degrees C, three enzyme-inhibitor dissociation constants could be evaluated; at 37 degrees C, only two constants could be evaluated. Although the model considers both cooperative phenomena, it appears that decreased enzyme sensitivity at higher temperature, predominantly for the ligands at the peripheral binding site, makes the determination of some expected enzyme substrate and/or inhibitor complexes technically impossible. The same reason might also account for one of the paradoxes in cholinesterases: activities at 25 degrees C at low substrate concentrations are higher than at 37 degrees C. Positioning of ethopropazine in the active-site gorge by molecular dynamics simulations shows that A328, W82, D70, and Y332 amino acid residues stabilize binding of the inhibitor.

Animals↗

Differential effects of two growth inhibitory K vitamin analogs on cell cycle regulating proteins in human hepatoma cells.

A comparison was made between two K vitamin analogs. Growth in vitro of Hep G2 hepatoma cells was inhibited both by Compound 5 (Cpd 5), a recently synthesized thioalkyl analog of vitamin K or 2-(2-mercaptoethanol)-3-methyl-1, 4-naphthoquinone, as well as by synthetic vitamin K3 (menadione). Using synchronized Hep G2 hepatoma cells, the actions of both Cpd 5 and vitamin K3 on cell cycle regulating proteins were examined. Cpd 5 decreased the levels of cyclin D1, Cdk4, p16, p21 and cyclin B1. By contrast, VK3 only decreased the level of cyclin D1, but had no effect on the levels of Cdk4, p16 or p21. Interestingly, both VK3 and VK2 increased the levels of p21. The naturally occurring K vitamins had little effect on cell growth and none on the cyclins or Cdks. Amounts and activity of the G1/S phase controlling Cdc25A were measured. We found that Cpd 5 directly inhibited both Cdc25A activity and its protein expression, whereas VK3 did not. Thus, the main effects of Cpd 5 were on G1 and S phase proteins, especially Cdk4 and Cdc25A amounts in contrast to VK3. Computer docking studies of Cpd 5 and VK3 to Cdc25A phosphatase showed three binding sites. In the best conformation, Cpd 5 was found to be closer to the enzyme active site than VK3. These findings show that Cpd 5 represents a new class of anticancer agent, being a protein tyrosine phosphatase (PTP) antagonist, that binds to Cdc25A with suppression of its activity. Tumors expressing high levels of oncogenic Cdc25A phosphatase may thus be susceptible to the growth inhibitory activities of this class of compound.

Blotting, Western↗

Comparison of the construction of a 3-D model for human thromboxane synthase using P450cam and BM-3 as templates: implications for the substrate binding pocket.

A 3-D model of human thromboxane A2 synthase (TXAS) was constructed using a homology modeling approach based on information from the 2.0 A crystal structure of the hemoprotein domains of cytochrome P450BM-3 and P450cam. P450BM-3 is a bacterial fatty acid monooxygenase resembling eukaryotic microsomal cytochrome P450s in primary structure and function. TXAS shares 26.4% residue identity and 48.4% residue similarity with the P450BM-3 hemoprotein domain. The homology score between TXAS and P450BM-3 is much higher than that between TXAS and P450cam. Alignment between TXAS and the P450BM-3 hemoprotein domain or P450cam was determined through sequence searches. The P450BM-3 or P450cam main-chain coordinates were applied to the TXAS main chain in those segments where the two sequences were well aligned. These segments were linked to one another using a fragment search method, and the side chains were added to produce a 3-D model for TXAS. A TXAS substrate, prostaglandin H2 (PGH2) was docked into the TXAS cavity corresponding to the arachidonic acid binding pocket in P450BM-3 or camphor binding site in P450cam. Regions of the heme and putative PGH2 binding cavities in the TXAS model were identified and analyzed. The segments and residues involved in the active-site pocket of the TXAS model provide reasonable candidates for TXAS protein engineering and inhibitor design. Comparison of the TXAS model based on P450BM-3 with another TXAS model based on the P450cam structure indicated that P450BM-3 is a more suitable template for homology modeling of TXAS.

Amino Acid Sequence↗

Filtering and selection of structural models: combining docking and NMR.

It is generally accepted that protein structures are more conserved than protein sequences, and 3D structure determination by computer simulations have become an important necessity in the postgenomic area. Despite major successes no robust, fast, and automated ab initio prediction algorithms for deriving accurate folds of single polypeptide chains or structures of intermolecular complexes exist at present. Here we present a methodology that uses selection and filtering of structural models generated by docking of known substructures such as individual proteins or domains through easily obtainable experimental NMR constraints. In particular, residual dipolar couplings and chemical shift mapping are used. Heuristic inclusion of chemical or biochemical knowledge about point-to-point interactions is combined in our selection strategy with the NMR data and commonly used contact potentials. We demonstrate the approach for the determination of protein-protein complexes using the EIN/HPr complex as an example and for establishing the domain-domain orientation in a chimeric protein, the recently determined hybrid human-Escherichia. coli thioredoxin.

Algorithms↗

A Brownian dynamics study of the interactions of the luminal domains of the cytochrome b6f complex with plastocyanin and cytochrome c6: the effects of the Rieske FeS protein on the interactions.

The availability of the structures of the cytochrome b6f complex (cyt b6f), plastocyanin (PC), and cytochrome c6 (cyt c6) from Chlamydomonas reinhardtii allowed us, for the first time, to model electron transfer interactions between the luminal domains of this complex (including cyt f and the Rieske FeS protein) and its redox partners in the same species. We also generated a model structure in which the FeS center of the Rieske protein was positioned closer to the heme of cyt f than observed in the crystal structure and studied its interactions with both PC and cyt c6. Our data showed that the Rieske protein in both the original crystal structure and in our modeled structure of the cyt b6f complex did not physically interfere with binding position or orientation of PC or cyt c6 on cyt f. PC docked on cyt f with the same orientation in the presence or the absence of the Rieske protein, which matched well with the previously reported NMR structures of complexes between cyt f and PC. When the FeS center of the Rieske protein was moved close to the heme of cyt f, it even enhanced the interaction rates. Studies using a cyt f modified in the 184-191 loop showed that the cyt f structure is a more important factor in determining the rate of complex formations than is the presence or the absence of the Rieske protein or its position with respect to cyt f.

Animals↗