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At least 1,153 records · Page 64Linked to original sources
PubMed1996

Nitric oxide modulates synaptic vesicle docking fusion reactions.

Nitric oxide (NO) stimulates calcium-independent neurotransmitter release from synaptosomes. NO-stimulated release was found to be inhibited by Botulinum neurotoxins that inactivate the core complex of synaptic proteins involved in the docking and fusion of synaptic vesicles. In experiments using recombinant proteins, NO donors increased formation of the VAMP/SNAP-25/syntaxin 1a core complex and inhibited the binding of n-sec1 to syntaxin 1a. The combined effects of these activities is predicted to promote vesicle docking/fusion. The sulfhydryl reagent NEM inhibited the binding of n-sec1 to syntaxin 1a, while beta-ME could reverse the NO-enhanced association of VAMP/SNAP-25/syntaxin 1a. These data suggest that post-translational modification of sulfhydryl groups by a nitrogen monoxide (likely to be NO+) alters the synaptic protein interactions that regulate neurotransmitter release and synaptic plasticity.

Animals↗
PubMed2001

A receptor-based biosensor for lipoprotein docking at the endothelial surface and vascular matrix.

Proteoheparan sulfate can be adsorbed to a methylated silica surface in a monomolecular layer via its transmembrane hydrophobic protein core domain. Due to electrostatic repulsion, its anionic glycosaminoglycan side chains are stretched out into the blood substitute solution, representing a receptor site for specific lipoprotein binding through basic amino acid-rich residues within their apolipoproteins. The binding process was studied by ellipsometric techniques showing that HDL has a high binding affinity to the receptor and a protective effect on interfacial heparan sulfate proteoglycan layers, with respect to LDL and Ca(2+) complexation. LDL was found to deposit strongly at the proteoheparan sulfate, particularly in the presence of Ca(2+), thus creating the complex formation "proteoglycan-low density lipoprotein-calcium". This ternary complex build-up may be interpreted as arteriosclerotic nanoplaque formation on the molecular level responsible for the arteriosclerotic primary lesion. On the other hand, HDL bound to heparan sulfate proteoglycan protected against LDL docking and completely suppressed calcification of the proteoglycan-lipoprotein complex. In addition, HDL and aqueous garlic extract were able to reduce the ternary complex deposition and to disintegrate HS-PG/LDL/Ca(2+) aggregates. Although much remains unclear regarding the mechanism of lipoprotein depositions at proteoglycan-coated surfaces, it seems clear that the use of such systems offers possibilities for investigating lipoprotein deposition at a "nanoscopic" level under close to physiological conditions. In particular, Ca(2+)-promoted LDL deposition and the protective effect of HDL, even at high Ca(2+) and LDL concentrations, agree well with previous clinical observations regarding risk and beneficial factors for early stages of atherosclerosis. Therefore, we believe that the system can be of some use in investigations, e.g. of the interplay between different lipoproteins in arteriosclerotic plaque formation, as well as in high throughput screening of candidate drugs to atherosclerosis in a biosensor application.

Arteriosclerosis↗
PubMed2003

Ligand binding: functional site location, similarity and docking.

Computational methods for the detection and characterisation of protein ligand-binding sites have increasingly become an area of interest now that large amounts of protein structural information are becoming available prior to any knowledge of protein function. There have been particularly interesting recent developments in the following areas: first, functional site detection, whereby protein evolutionary information has been used to locate binding sites on the protein surface; second, functional site similarity, whereby structural similarity and three-dimensional templates can be used to compare and classify and potentially locate new binding sites; and third, ligand docking, which is being used to find and validate functional sites, in addition to having more conventional uses in small-molecule lead discovery.

Amino Acid Sequence↗
PubMed2001

A model of photoprobe docking with beta1,4-galactosyltransferase identifies a possible carboxylate involved in glycosylation steps.

A molecular docking study has been performed on the interaction of beta1,4-galactosyltransferase with an acceptor site photoprobe. This is based on an acceptor site peptide fragment which was recently identified by the use of a photoprobe. The present model strongly suggests that the carboxylate group of Asp318 could be involved in the activation of the acceptor sugar 4-OH for the efficient galactosyltransfer. The result also exemplified that the combination of photoaffinity labeling with crystallography is a powerful method for the detailed structural analysis of ligand protein complex.

Aspartic Acid↗
PubMed2003

Design of novel N-(2,4-dioxo-1,2,3,4-tetrahydro-thieno[3,2-d]pyrimidin-7-yl)-guanidines as thymidine phosphorylase inhibitors, and flexible docking to a homology model.

A novel class of thymidine phosphorylase (TP) inhibitors has been designed based on analogy to the enzyme substrate as well as known inhibitors. Flexible docking studies, using a homology model of human TP, of the designed N-(2,4-dioxo-1,2,3,4-tetrahydro-thieno[3,2-d]pyrimidin-7-yl)-guanidines as well as their synthetic precursors provide insight into the observed experimental trends in binding affinity.

Binding Sites↗
PubMed1998

Templates for design of inhibitors for serine proteases: application of the program DOCK to the discovery of novel inhibitors for thrombin.

The program DOCK was used to search for novel inhibitors for alpha-thrombin. Four among the top twelve best scoring compounds from the Cambridge Structural Data Base inhibited this enzyme, and three of them inhibited alpha-thrombin in a competitive mode. These molecules are expected to serve as general templates for structural elaboration in targeting diverse serine proteases for selective inhibition.

Binding Sites↗
PubMed2001

Localization of intraflagellar transport protein IFT52 identifies basal body transitional fibers as the docking site for IFT particles.

Intraflagellar transport (IFT) is a motility in which particles composed of at least 17 polypeptides move underneath the flagellar membrane. Anterograde (outward) and retrograde (inward) movements of these IFT particles are mediated by FLA10 kinesin-II and cytoplasmic dynein DHC1b, respectively. Mutations affecting IFT particle polypeptides or motors result in the inability to assemble flagella. IFT particles and the motors moving them are located principally around the basal bodies as well as in the flagella. Here, we clone the cDNA encoding one of the IFT particle proteins, IFT52, and show by immunofluorescence that while some IFT52 is in the flagella, the majority is found in two horseshoe-shaped rings around the basal bodies. Immunoelectron microscopy indicates that IFT52 is associated with the periphery of the transitional fibers, which extend from the distal portion of the basal body to the cell membrane and demarcate the entrance to the flagellar compartment. This localization suggests that the transitional fibers form a docking complex for the IFT particles destined for the flagellum. Finally, the flagellaless mutant bld1 completely lacks IFT52 due to a deletion in the gene encoding IFT52.

Algal Proteins↗
PubMed2002

1,4-Benzothiazine and 1,4-benzoxazine imidazole derivatives with antifungal activity: a docking study.

We have recently described the synthesis and antifungal activity of a series of 1,4-benzothiazine and 1,4-benzoxazine imidazole derivatives that mainly showed in vivo activity against a murine experimental model of candidiasis but that very often lacked in vitro activity. Here, we report a docking study of a representative set of our molecules in a 3D model of CYP51 of Candida albicans (CA-CYP51). The model was constructed on the basis of the sequence homology relationship with the recently reported crystal structure of the CYP51 of Mycobacterium tuberculosis (MT- CYP51).

Amino Acid Sequence↗
PubMed2003

The structural basis for kainoid selectivity at AMPA receptors revealed by low-mode docking calculations.

The kainoids are a class of excitatory and excitotoxic pyrrolidine dicarboxylates that act at ionotropic glutamate receptors. The kainoids bind kainate receptors with high affinity and, while binding affinity is lower at AMPA (alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) receptors, they are active in functional assays at this receptor subtype as well. However, kainoids are only partial agonists at AMPA receptors. Currents evoked by kainoids have been described as either slowly desensitizing, partially desensitizing, or non-desensitizing. Recently acquired X-ray crystal structures of the ligand binding domain of the iGluR2, AMPA sensitive receptor suggest that differences in ligand-receptor interactions may influence functional properties of an agonist. In an effort to identify important ligand-receptor interactions of various kainoids, we have conducted a series of low-mode docking searches of AMPA agonists in the iGluR2 binding domain. Kainic acid exhibited alternate low-lying geometries, with loss of hydrogen bonds to domain 2, which may represent a dissociation route not available to other kainoids. The most potent of the kainoids are capable of forming hydrogen bonding interactions that span the two domains of the receptor. In particular, a hydrogen bond between the domoic acid C6' carboxylic acid and Ser652 may prevent a peptide bond rotation that is associated with the desensitized state of the receptor.

Excitatory Amino Acid Antagonists↗
PubMed1999

Comparative molecular field analysis (CoMFA) and docking studies of non-nucleoside HIV-1 RT inhibitors (NNIs).

A set of TIBO derivatives endowed with reverse transcriptase (RT) inhibitory activity were analyzed by comparative molecular field analysis (CoMFA). Besides conventional steric and electrostatic fields, molecular lipophilicity potential (MLP) was also used as a third field in CoMFA. An informative and statistically significant model (q2 = 0.70, r2 = 0.90, s = 0.46) was obtained by taking into account the three field types together. The key molecular determinants governing the RT inhibition by TIBO congeners were detected at the 3-D level by a careful analysis of the CoMFA isocontour maps. To challenge the predictive ability of the CoMFA model, an external set of thiazolobenzimidazole (TBZ) derivatives were examined. Good predictions, suggesting a similar binding mode for TIBO and TBZ derivatives, emerged. Flexible docking experiments on TBZ, TIBO and other NNIs confirmed common binding characteristics, as found out also by CoMFA, and moreover a good correlation between calculated binding energies and inhibitory potency was found.

Benzimidazoles↗
PubMed1999

Soft docking an L and a D peptide to an anticholera toxin antibody using internal coordinate mechanics.

BACKGROUND: The tremendous increase in sequential and structural information is a challenge for computer-assisted modelling to predict the binding modes of interacting biomolecules. One important area is the structural understanding of protein-peptide interactions, information that is increasingly important for the design of biologically active compounds. RESULTS: We predicted the three-dimensional structure of a complex between the monoclonal antibody TE33 and its cholera-toxin-derived peptide epitope VPGSQHID. Using the internal coordinate mechanics (ICM) method of flexible docking, the bound conformation of the initially extended peptide epitope to the antibody crystal or modelled structure reproduced the known binding conformation to a root mean square deviation of between 1.9 A and 3.1 A. The predicted complexes are in good agreement with binding data obtained from substitutional analyses in which each epitope residue is replaced by all other amino acids. Furthermore, a de novo prediction of the recently discovered TE33-binding D peptide dwGsqhydp (single-letter amino acid code where D amino acids are represented by lower-case letters) explains results obtained from binding studies with 172 peptide analogues. CONCLUSIONS: Despite the difficulties arising from the huge conformational space of a peptide, this approach allowed the prediction of the correct binding orientation and the majority of essential binding features of a peptide-antibody complex.

Antibodies, Monoclonal↗
PubMed2003

2- and 8-alkynyladenosines: conformational studies and docking to human adenosine A3 receptor can explain their different biological behavior.

Adenosine (Ado) derivatives substituted at the C2 position with an alkynyl chain are endowed with high affinity for A(1), A(2A) and A(3) human adenosine receptors, while being less active at the low affinity A(2B) subtype. On the other hand, the introduction of an alkynyl chain at the C8 position of adenosine is detrimental for the affinity and potency at A(1), A(2A), and A(2B) receptors, while is more tolerated by the A(3) receptor. The evaluation of the stimulation of [35S]GTPgammaS binding revealed that 2-alkynyladenosines behave as adenosine receptors agonists while, on the contrary, 8-alkynyladenosines behave as antagonists. With this work we demonstrated, by means of an NMR-based and a computational conformational analysis, that 8-alkynyladenosines, differently from 2-alkynyladenosines, cannot adopt the sugar-base anti conformation required for adenosine receptor activation.Furthermore, using the recently reported X-ray crystal structure of bovine rhodopsin as template, we built a 3D model of the seven transmembrane domains of the human adenosine A(3) receptor with the homology modeling. After identification of the binding site we carried out docking experiments, demonstrating that the two class of molecules have different binding modes that explain their different degree of affinity and the shift of their activity from agonism to antagonism.

Adenosine↗
PubMed2003

LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites.

We present a new shape-based method, LigandFit, for accurately docking ligands into protein active sites. The method employs a cavity detection algorithm for detecting invaginations in the protein as candidate active site regions. A shape comparison filter is combined with a Monte Carlo conformational search for generating ligand poses consistent with the active site shape. Candidate poses are minimized in the context of the active site using a grid-based method for evaluating protein-ligand interaction energies. Errors arising from grid interpolation are dramatically reduced using a new non-linear interpolation scheme. Results are presented for 19 diverse protein-ligand complexes. The method appears quite promising, reproducing the X-ray structure ligand pose within an RMS of 2A in 14 out of the 19 complexes. A high-throughput screening study applied to the thymidine kinase receptor is also presented in which LigandFit, when combined with LigScore, an internally developed scoring function, yields very good hit rates for a ligand pool seeded with known actives.

Algorithms↗
PubMed2003

Analysis and optimization of structure-based virtual screening protocols. 2. Examination of docked ligand orientation sampling methodology: mapping a pharmacophore for success.

An important element of any structure-based virtual screening (SVS) technique is the method used to orient the ligands in the target active site. This has been a somewhat overlooked issue in recent SVS validation studies, with the assumption being made that the performance of an algorithm for a given set of orientation sampling settings will be representative for the general behavior of said technique. Here, we analyze five different SVS targets using a variety of sampling paradigms within the DOCK, GOLD and PROMETHEUS programs over a data set of approximately 10,000 noise compounds, combined with data sets containing multiple active compounds. These sets have been broken down by chemotype, with chemotype hit rate used to provide a measure of enrichment with a potentially improved relevance to real world SVS experiments. The variability in enrichment results produced by different sampling paradigms is illustrated, as is the utility of using pharmacophores to constrain sampling to regions that reflect known structural biology. The difference in results when comparing chemotype with compound hit rates is also highlighted.

Binding Sites↗
PubMed1997

The cannabinoid receptor: computer-aided molecular modeling and docking of ligand.

A three-dimensional model of human cannabinoid receptor is constructed using computer-aided molecular modeling techniques. The helices of bacteriorhodopsin were used as the initial template to construct the transmembrane helices. The extracellular and intracellular loops were added using the SYBYL molecular modeling package. The extracellular N terminus was modeled on the basis of its similarity to rat oncomodulin. Similarly, the C terminus was constructed on the basis of similarity to bovine prothrombin fragment 1. The final structure was refined by several runs of minimization and dynamics calculation using the CHARMm package. delta 9-Tetra hydrocannabinol was docked into the internal cavity using the AUTODOCK program. Our study snows that there may be a calcium-binding site in the extracellular N terminus of this receptor. The ligand binds mainly to a hydrophobic site, which consists of residues Met-240, Trp-241 (TMH-4), Trp-356, Leu-359, Leu-360 (TMH-6), and Ala-283 (TMH-5). Its phenolic hydroxyl group forms a hydrogen bond with the carboxy group of Ala-198 (TMH-3). The results of modeling agree well with experimental QSAR studies.

Amino Acid Sequence↗
PubMed1997

Modeling of the three-dimensional structure of the human melanocortin 1 receptor, using an automated method and docking of a rigid cyclic melanocyte-stimulating hormone core peptide.

A model is presented of the melanocortin 1 receptor (MC1R), constructed by use of an unbiased, objective method. The model is created directly from data derived from multiple sequence analysis, a low-resolution EM-projection map of rhodopsin, and the approximate membrane thickness. The model agrees well with available data concerning natural mutations of MC1Rs occurring in different species. A model is also presented of the most rigid ligand for this receptor, the cyclic pentapeptide cHFRWG, shown docked in the receptor model. The receptor-ligand complex model agrees well with available experimental data. The ligand is located between transmembrane region 1 (TM1), TM2, TM3, TM6, and TM7 of the receptor. Multiple interactions occur between ligand and receptor, including interactions with Leu-48 (TM1), Ser-52 (TM1), Glu-55 (TM1), Asn-91 (TM2), Glu-94 (TM2), Thr-95 (TM2) Ile-98 (TM2), Asp-121 (TM3), Thr-124 (TM3), Phe-257 (TM6), Phe-283 (TM7), Asn-290 (TM7), and Asp-294 (TM7) of the receptor.

Amino Acid Sequence↗
PubMed1999

Lipotransin: a novel docking protein for hormone-sensitive lipase.

Lipotransin is a novel hormone-sensitive lipase (HSL)-interacting protein that appears to translocate HSL to the lipid droplet. The interaction of the two proteins depends upon the phosphorylation of HSL by protein kinase A. Once formed, the complex is dissociated by ATP hydrolysis, due to the ATPase activity of lipotransin. In 3T3L1 adipocytes, insulin produces a stable complex between the proteins, due to a modification of lipotransin. Thus, lipotransin is a novel docking protein that may direct the hormonally regulated redistribution of hormone-sensitive lipase.

3T3 Cells↗