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Identification of a novel, intraperoxisomal pex14-binding site in pex13: association of pex13 with the docking complex is essential for peroxisomal matrix protein import.

The peroxisomal docking complex is a key component of the import machinery for matrix proteins. The core protein of this complex, Pex14, is thought to represent the initial docking site for the import receptors Pex5 and Pex7. Associated with this complex is a fraction of Pex13, another essential component of the import machinery. Here we demonstrate that Pex13 directly binds Pex14 not only via its SH3 domain but also via a novel intraperoxisomal site. Furthermore, we demonstrate that Pex5 also contributes to the association of Pex13 with Pex14. Peroxisome function was affected only mildly by mutations within the novel Pex14 interaction site of Pex13 or by the non-Pex13-interacting mutant Pex5(W204A). However, when these constructs were tested in combination, PTS1-dependent import and growth on oleic acid were severely compromised. When the SH3 domain-mediated interaction of Pex13 with Pex14 was blocked on top of that, PTS2-dependent matrix protein import was completely compromised and Pex13 was no longer copurified with the docking complex. We conclude that the association of Pex13 with Pex14 is an essential step in peroxisomal protein import that is enabled by two direct interactions and by one that is mediated by Pex5, a result which indicates a novel, receptor-independent function of Pex5.

Amino Acid Sequence↗

Docking of dogs: practical and ethical aspects.

Next month, the Council of the Royal College of Veterinary Surgeons will discuss the docking of dogs' tails, with a view to deciding whether docking for non-therapeutic purposes should be considered as prima-facie evidence of disgraceful professional conduct. Here, Professor David Morton considers the arguments for and against tail docking, and the ethical issues involved.

Animal Welfare↗

Transport vesicle docking: SNAREs and associates.

Proteins that function in transport vesicle docking are being identified at a rapid rate. So-called v- and t-SNAREs form the core of a vesicle docking complex. Additional accessory proteins are required to protect SNAREs from promiscuous binding and to deprotect SNAREs under conditions in which transport vesicle docking should occur. Because access to SNAREs must be regulated, other proteins must also contain specificity determinants to accomplish delivery of transport vesicles to their distinct and specific membrane targets.

Animals↗

Optimised amino acid specific weighting factors for unbound protein docking.

BACKGROUND: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-representation of proteins for docking is extended by an optimised weighting factor for each amino acid. RESULTS: For up to 86% of the evaluated complexes a near-native structure was within the top 5% of the ranked prediction output. The weighting factors obtained by the optimisation procedure correlate to a certain extent with the flexibility of the amino acids, their hydrophobicity and with their propensity to be in the interface. CONCLUSION: Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction.

Algorithms↗

Prevalence of abnormal findings on brain magnetic resonance (MR) examinations in adult participants of brain docking.

BACKGROUND: To determine the prevalence of abnormal findings on brain magnetic resonance (MR) examinations in adult participants of brain docking in order to assess its usefulness. METHODS: We analyzed screening brain MR examinations for 1113 adults (age, 52.6+/-8.5 years; range, 22-84; 761 male and 352 female) performed during 6-year period from April 1998 to March 2004. All participants voluntarily sought a brain MR examination at their own expense. All subjects were studied using the same 1.0-T MR scanner, on axial T1-weighted spin echo (SE) images, proton-density-weighted and T2-weighted fast SE images, and intracranial MR angiography (MRA). All abnormal findings were classified into three basic categories: (1) findings with no referral necessary; (2) findings not requiring further evaluation, but which needed to be reported to the referring physician; (3) findings requiring further evaluation. RESULTS: Participants with abnormal MR findings requiring further evaluation accounted for 1.3 %, but five of seven suspected intracranial aneurysms were not confirmed by other imaging modalities (false positive). No malignant tumors or other life-threatening pathology was detected, and only three participants (0.27 %) with abnormalities underwent surgical treatment. No participant groups were identified from our data as being high risk for MR abnormal findings requiring further evaluation. CONCLUSION: Brain-docking participants had a variety of abnormalities on brain MR examinations, but only a small percentage of these findings required further evaluation. The usefulness of the brain docking with MRI and MRA has yet to be proven, and at this time we cannot approve this screening procedure.

Adult↗

A role of proton transfer in peroxidase-catalyzed process elucidated by substrates docking calculations.

BACKGROUND: Previous kinetic investigations of fungal-peroxidase catalyzed oxidation of N-aryl hydroxamic acids (AHAs) and N-aryl-N-hydroxy urethanes (AHUs) revealed that the rate of reaction was independent of the formal redox potential of substrates. Moreover, the oxidation rate was 3-5 orders of magnitude less than for oxidation of physiological phenol substrates, though the redox potential was similar. RESULTS: To explain the unexpectedly low reactivity of AHAs and AHUs we made ab initio calculations of the molecular structure of the substrates following in silico docking in the active center of the enzyme. CONCLUSIONS: AHAs and AHUs were docked at the distal side of heme in the sites formed by hydrophobic amino acid residues that retarded a proton transfer and finally the oxidation rate. The analogous phenol substrates were docked at different sites permitting fast proton transfer in the relay of distal His and water that helped fast substrate oxidation.

Binding Sites↗

Insights into the structure and molecular basis of ligand docking to the G protein-coupled secretin receptor using charge-modified amino-terminal agonist probes.

The amino terminus and third loop regions of class B G protein-coupled receptors play critical roles in ligand docking and action. For the prototypic secretin receptor, the hormone amino terminus is spatially approximated with receptor region high in transmembrane segment 6 (TM6), whereas residues ranging from position 6 through 26 label the amino terminus. Here, we focus on the role of charge of the secretin amino terminus, using a series of full-agonist, acetylated probes. Sites of covalent labeling were examined using sequential purification, chemical and enzymatic cleavage, and Edman degradation. High-affinity amino-terminally-blocked probes labeled the distal amino-terminal tail, rather than TM6, while adding a basic residue, again labeled TM6. These data suggest that the secretin amino terminus docks between the amino terminus and TM6 of the receptor, with this region of secretin likely interacting with an acidic residue within the receptor TM6 and the third extracellular loop. To explore this, candidate acidic residues were mutated to Ala (E341A, D342A, E345A, E351A). The E351A mutant markedly interfered with binding, biological activity, and internalization, whereas all others bound secretin and signaled and internalized normally. This supports the possibility that there is a charge-charge interaction between this residue and the amino terminus of secretin that is critical to its normal docking.

Acetylation↗

Rab3A and Rab27A cooperatively regulate the docking step of dense-core vesicle exocytosis in PC12 cells.

Recent studies have suggested that two small GTPases, Rab3A and Rab27A, play a key role in the late steps of dense-core vesicle exocytosis in endocrine cells; however, neither the precise mechanisms by which these two GTPases regulate dense-core vesicle exocytosis nor the functional relationship between them is clear. In this study, we expressed a number of different Rab proteins, from Rab1 to Rab41 in PC12 cells and systematically screened them for those that are specifically localized on dense-core vesicles. We found that four Rabs (Rab3A, Rab27A, Rab33A, Rab37) are predominantly targeted to dense-core vesicles in PC12 cells, and that three of them (Rab3A, Rab27A, Rab33A) are endogenously expressed on dense-core vesicles. We further investigated the effect of silencing each Rab with specific small interfering RNA on vesicle dynamics by total internal reflection fluorescence microscopy in a single PC12 cell. Silencing either Rab3A or Rab27A in PC12 cells significantly decreased the number of dense-core vesicles docked to the plasma membrane without altering the kinetics of individual exocytotic events, whereas silencing of Rab33A had no effect at all. Simultaneous silencing of Rab3A and Rab27A caused a significantly greater decrease in number of vesicles docked to the plasma membrane. Our findings indicate that Rab3A and Rab27A cooperatively regulate docking step(s) of dense-core vesicles to the plasma membrane.

Animals↗

Inhibition mechanisms of staurosporine and H7 to cAMP-dependent protein kinase through docking study.

Inhibition mechanisms of staurosporine and H7 to cAMP-dependent protein kinase have been investigated through docking studies. For each molecule, the energetically most stable docking model was searched by using the conformationally flexible automatic docking program ADAM without any presumptions. The results explain well the observation that staurosporine does not bind to the enzyme competitively with H7, even though the two compounds competitively inhibit ATP binding.

1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine↗

[Receptor-ligand docking simulation for membrane proteins].

Protein structure-based molecular design using the computational techniques of protein structure prediction, ligand docking, and virtual screening is an integral part of drug discovery for limiting the application of the structure-based approach to target proteins such as G-protein-coupled receptors (GPCRs). GPCRs play an important role in living organisms and are of major interest to the pharmaceutical industry. However, structural data on ligand-binding forms for GPCRs from experiments to elucidate structural templates for docking simulations are lacking due to the difficulties associated with crystallization and crystallography. Therefore structural prediction of GPCRs in the ligand-bound state using computational methods has been introduced, but the prediction of ligand conformation onto target GPCRs is still constructed manually by human experts. We developed a molecular modeling technique for the prediction of ligand-receptor binding using comparative ligand-binding analysis (CoLBA) that not only considers interaction energy but also the similarity of interaction profiles among ligands. The advantage of CoLBA is that it can facilitate intuitive and flexible screening based on docking results when protein structures with low resolution (or theoretical models) are targeted. We applied CoLBA to ligand-binding prediction in several GPCRs. The predicted ligand-binding models were evaluated in site-directed mutagenesis experiments in collaborative research, and the enrichment rate of activated ligands was compared with random compounds in virtual screening simulations. We propose that CoLBA can be applied in large-scale modeling of ligand-receptor complexes and virtual screening for GPCRs.

Amino Acid Sequence↗

Fragment-Based flexible ligand docking by evolutionary optimization.

A new computational approach for the efficient docking of flexible ligands in a rigid protein is presented. It exploits the binding modes of functional groups determined by an exhaustive search with solvation. The search in ligand conformational space is performed by a genetic algorithm whose scoring function approximates steric effects and intermolecular hydrogen bonds. Ligand conformations generated by the genetic algorithm are docked in the protein binding site by optimizing the fit of their fragments to optimal positions of chemically related functional groups. We show that the use of optimal binding modes of molecular fragments allows to dock known inhibitors with about ten rotatable bonds in the active site of the uncomplexed and complexed conformations of thrombin and HIV-1 protease.

Algorithms↗

Conical electron tomography of a chemical synapse: vesicles docked to the active zone are hemi-fused.

We have used thin sectioning and conical electron tomography to determine the three-dimensional structure of synaptic vesicles that were associated (docked) at release sites of the presynaptic membrane, called active-zones. Vesicles docked at the active zone occupied a strategic location: they formed regions of contact with the plasma membrane on one side and with that of one or more vesicles located deeper within the presynaptic terminal on the other side. The region of contact with the active zone measured approximately 15 nm in diameter ( approximately 2% of the vesicle's surface) and contained a smaller approximately 6 nm region where the proximal leaflets merged (hemi-fused). Hemi-fusion was only observed on the side of vesicles in contact with the active zone; at the side of contact between neighboring vesicles, the membranes were not hemi-fused. Approximately three-fourths of the docked vesicles contained hemi-fused regions. Vesicles fully fused to the active zone (exhibiting pores that appeared as interruptions of a single membrane) were less frequently observed ( approximately 1 of 10 hemi-fused vesicles). In conclusion, our observations in cortical synapses strengthen the hypothesis that hemi-fusion is a stable intermediary that precedes full fusion and release.

Animals↗

Self-induced docking site of a deeply embedded peripheral membrane protein.

As a first step toward understanding the principles of the targeting of C2 domains to membranes, we have carried out a molecular dynamics simulation of the C2 domain of cytosolic phospholipase A2 (cPLA2-C2) in a 1-palmitoyl-2-oleoyl-phosphatidylcholine bilayer at constant pressure and temperature (NPT, 300 K and 1 atm). Using the high-resolution crystal structure of cPLA2-C2 as a starting point, we embedded two copies of the C2 domain into a pre-equilibrated membrane at the depth and orientation previously defined by electron paramagnetic resonance (EPR). Noting that in the membrane-bound state the three calcium binding loops are complexed to two calcium ions, we initially restrained the calcium ions at the membrane depth determined by EPR. But the depth and orientation of the domains remained within EPR experimental errors when the restraints were later removed. We find that the thermally disordered, chemically heterogeneous interfacial zones of phosphatidylcholine bilayers allow local lipid remodeling to produce a nearly perfect match to the shape and polarity of the C2 domain, thereby enabling the C2 domain to assemble and optimize its own lipid docking site. The result is a cuplike docking site with a hydrophobic bottom and hydrophilic rim. Contrary to expectations, we did not find direct interactions between the protein-bound calcium ions and lipid headgroups, which were sterically excluded from the calcium binding cleft. Rather, the lipid phosphate groups provided outer-sphere calcium coordination through intervening water molecules. These results show that the combined use of high-resolution protein structures, EPR measurements, and molecular dynamics simulations provides a general approach for analyzing the molecular interactions between membrane-docked proteins and lipid bilayers.

Binding Sites↗

Ligand-protein docking: cancer research at the interface between biology and chemistry.

In recent years there has been a growing interest in computer-based screening. One of the driving forces has been the increased efficiency of protein crystallography leading to the real possibility of using structure-based design as a significant contributor to the discovery of novel ligands. In 1957 after 22 years of work the first protein structure, determined by x-ray crystallography was produced. Now the process has become increasingly automated and nearly 20,000 protein structures are available in the Protein Data Bank (PDB). Equally, progress in genomics will result in a great expansion of validated targets for cancer therapy. The understanding of the relationships between structure and function of gene products will be one of the key routes to new therapeutic advances. The challenge now is to use this data in the discovery of novel therapeutics. One approach is obviously to synthesize molecules and co-crystallize or soak them into the protein crystal and so determine the position and interaction of the molecule with the protein. The structural information obtained (where does the molecule bind; what are the ligand/protein/solvent interactions?) can be invaluable in the generation of novel molecules or in the re-design of existing molecules whose drug properties are not optimal. However, when dealing with large numbers (millions) of molecules, when crystallization is difficult or in testing hypotheses, a significant contribution can be made using computer based screening methods. In order to use the structural information derived from x-ray crystallography (or other sources, for example NMR or homology modelling) when evaluating the utility of a novel ligand, we need to understand where in the protein (or other macromolecule such as RNA) the ligand is likely to bind and also if possible, the strength of the binding interactions. This problem is known as the 'docking problem'. There have been many approaches to the solution of this problem over the last ten years. For example, some methods rely on complex molecular dynamics simulations while others use less costly graph matching approaches. There is generally a compromise between speed and accuracy, with some methods giving much more information and insight into the nature of the protein/ligand interactions and other methods optimised for speed of docking thousands of putative ligands. We will describe some of the more common methods and algorithms used to solve the docking problem and in particular, we will review recent applications in cancer research.

Animals↗

Docking: successes and challenges.

The state of the art of various computational aspects of docking-based virtual screening of database of small molecules is presented. The review encompasses the different search algorithms and the scoring functions used in docking methods and their applications to protein and nucleic acid drug targets. Recent progress made in the development and application of methods to include target flexibility are summarized. The fundamental issues and challenges involved in comparing various docking methods are discussed. Limitations of current technologies as well as future prospects are presented.

Algorithms↗

Virtual screening for anti-HIV-1 RT and anti-HIV-1 PR inhibitors from the Thai medicinal plants database: a combined docking with neural networks approach.

The virtual screening approach for docking small molecules into a known protein structure is a powerful tool for drug design. In this work, a combined docking and neural network approach, using a self-organizing map, has been developed and applied to screen anti-HIV-1 inhibitors for two targets, HIV-1 RT and HIV-1 PR, from active compounds available in the Thai Medicinal Plants Database. Based on nevirapine and calanolide A as reference structures in the HIV-1 RT binding site and XK-263 in the HIV-1 PR binding site, 2,684 compounds in the database were docked into the target enzymes. Self-organizing maps were then generated with respect to three types of pharmacophoric groups. The map of the reference structures were then superimposed on the feature maps of all screened compounds. Only the structures having similar features to the reference compounds were accepted. By using the SOMs, the number of candidates for HIV-1 RT was reduced to six and nine compounds consistent with nevirapine and calanolide A, respectively, as references. For the HIV-1 PR target, there are 135 screened compounds showed good agreement with the XK-263 feature map. These screened compounds will be further tested for their HIV-1 inhibitory affinities. The obtained results indicate that this combined method is clearly helpful to perform the successive screening and to reduce the analyzing step from AutoDock and scoring procedure.

Anti-HIV Agents↗

Scoring functions for protein-ligand docking.

Virtual screening by molecular docking has become established as a method for drug lead discovery and optimization. All docking algorithms make use of a scoring function in combination with a method of search. Two theoretical aspects of scoring function performance dominate operational performance. The first is the degree to which a scoring function has a global extremum within the ligand pose landscape at the proper location. The second is the degree to which the magnitude of the function at the extremum is accurate. Presuming adequate search strategies, a scoring function's location performance will dominate behavior with respect to docking accuracy: the degree to which a predicted pose of a ligand matches experimental observation. A scoring function's magnitude performance will dominate behavior with respect to screening utility: enrichment of true ligands over non-ligands. Magnitude estimation also controls pure scoring accuracy: the degree to which bona fide ligands of a particular protein may be correctly ranked. Approaches to the development of scoring functions have varied widely, with a number of functions yielding similarly high levels of performance relating to the location issue. However, even among functions performing equally well on location, widely varying performance is observed on the question of magnitude. In many cases, performance is good enough to yield high enrichments of true ligands versus non-ligands in screening across a wide variety of protein types. Generally, performance is not good enough to correctly rank among true ligands. Strategies for improvement are discussed.

Animals↗

Impairments in high-frequency transmission, synaptic vesicle docking, and synaptic protein distribution in the hippocampus of BDNF knockout mice.

Brain-derived neurotrophic factor (BDNF) promotes long-term potentiation (LTP) at hippocampal CA1 synapses by a presynaptic enhancement of synaptic transmission during high-frequency stimulation (HFS). Here we have investigated the mechanisms of BDNF action using two lines of BDNF knockout mice. Among other presynaptic impairments, the mutant mice exhibited more pronounced synaptic fatigue at CA1 synapses during high-frequency stimulation, compared with wild-type animals. Quantitative analysis of CA1 synapses revealed a significant reduction in the number of vesicles docked at presynaptic active zones in the mutant mice. Synaptosomes prepared from the mutant hippocampus exhibited a marked decrease in the levels of synaptophysin as well as synaptobrevin [vesicle-associated membrane protein (VAMP-2)], a protein known to be involved in vesicle docking and fusion. Treatment of the mutant slices with BDNF reversed the electrophysiological and biochemical deficits in the hippocampal synapses. Taken together, these results suggest a novel role for BDNF in the mobilization and/or docking of synaptic vesicles to presynaptic active zones.

Animals↗