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The vesicle docking protein p115 binds GM130, a cis-Golgi matrix protein, in a mitotically regulated manner.

The docking of transport vesicles with their target membrane is thought to be mediated by p115. We show here that GM130, a cis-Golgi matrix protein, interacts specifically with p115 and so could provide a membrane docking site. Deletion analysis showed that the N-terminus binds to p115, whereas the C-terminus binds to Golgi membranes. Mitotic phosphorylation of GM130 or a peptide derived from the N-terminus prevented binding to p115. The peptide also inhibited the NSF- but not the p97-dependent reassembly of Golgi cisternae from mitotic fragments, unless it was mitotically phosphorylated. Together, these data provide a molecular explanation for the COPI-mediated fragmentation of the Golgi apparatus at the onset of mitosis.

Amino Acid Sequence↗

Priming in exocytosis: attaining fusion-competence after vesicle docking.

Membrane contact established by tethering or docking mechanisms is not a sufficient condition for membrane fusion. In neural and neuroendocrine cells, only a small fraction of secretory vesicles docked at the plasma membrane are fusion-competent and undergo rapid ATP-independent fusion in response to Ca(2+) elevations. Additional biochemical events termed 'priming' are essential to render vesicles competent for Ca(2+)-triggered fusion. The priming of vesicles is ATP-dependent and a number of ATP-dependent priming reactions have been characterized in permeable neuroendocrine cells. These involve NSF-mediated priming of SNARE protein complexes, the ATP-dependent synthesis of phosphoinositides, and protein kinase-mediated protein phosphorylation. In addition, munc13 is an important protein involved in priming synaptic vesicles. An emphasis in this review is on recent work indicating that priming events identified in the pathways of regulated exocytosis share many features with pre-fusion processes characterized in constitutive fusion pathways.

Animals↗

Design and dosimetry characteristics of a soft-docking system for intraoperative radiation therapy.

PURPOSE: The design concept and the dosimetric characteristics of an applicator system for intraoperative radiation therapy (IORT) with special emphasis on alignment methods, the effect of a plastic scatterer in the beam, radiation leakage, and misalignment dosimetry, are presented in this paper. MATERIALS AND METHODS: A soft-docking system for a linear accelerator, which enables collimation of electron beams (4-22 MeV) for IORT has been developed. The system includes twenty-one circular polymethylmethacrylate (PMMA) treatment cones of different lengths, diameters and end angles. All in-water measurements are made using p-type silicon diode detectors. RESULTS: The effect of introducing a PMMA scatterer in the therapeutic beam includes increased surface dose values (above 83% for all nominal electron energies and for all cones) and improved dose homogeneity within the therapeutic range. Electrons scattered from the inside wall of the cone result in dose profile horns at depth of dose maximum always lower than 109%. The radiation leakage outside the cone is less than 13%. Large changes in the dose profiles occur if the intraoperative cone is misaligned more than 0.5. CONCLUSION: The alignment procedure of the soft-docking system is easy to handle and the applicator design provides adequate collimation of electron beams for IORT.

Combined Modality Therapy↗

Computational methods for biomolecular docking.

With the rapidly increasing amount of molecular biological data available, the computer-based analysis of molecular interactions becomes more and more feasible. Methods for computer-aided molecular docking have to include a reasonably accurate model of energy and must be able to deal with the combinatorial complexity incurred by the molecular flexibility of the docking partners. In both respects, recent years have seen substantial progress.

Databases, Factual↗

Predictive docking of protein-protein and protein-DNA complexes.

Recent developments in algorithms to predict the docking of two proteins have considered both the initial rigid-body global search and subsequent screening and refinement. The result of two blind trials of protein docking are encouraging--for complexes that are not too large and do not undergo sizeable conformational change upon association, the algorithms are now able to suggest reasonably accurate models.

Algorithms↗

Identification of a common docking topology with substantial variation among different TCR-peptide-MHC complexes.

Whether T-cell receptors (TCRs) recognize antigenic peptides bound to major histocompatability complex (MHC) molecules through common or distinct docking modes is currently uncertain. We report the crystal structure of a complex between the murine N15 TCR [1-4] and its peptide-MHC ligand, an octapeptide fragment representing amino acids 52-59 of the vesicular stomatitis virus nuclear capsid protein (VSV8) bound to the murine H-2Kb class I MHC molecule. Comparison of the structure of the N15 TCR-VSV8-H-2Kb complex with the murine 2C TCR-dEV8-H-2Kb [5] and the human A6 TCR-Tax-HLA-A2 [6] complexes revealed a common docking mode, regardless of TCR specificity or species origin, in which the TCR variable Valpha domain overlies the MHC alpha2 helix and the Vbeta domain overlies the MHC alpha1 helix. As a consequence, the complementary determining regions CDR1 and CDR3 of the TCR Valpha and Vbeta domains make the major contacts with the peptide, while the CDR2 loops interact primarily with the MHC. Nonetheless, in terms of the details of the relative orientation and disposition of binding, there is substantial variation in TCR parameters, which we term twist, tilt and shift, and which define the variation of the V module of the TCR relative to the MHC antigen-binding groove.

Animals↗

Protein modification: docking sites for kinases.

The substrate specificities of protein kinases have been found, in many cases, to be determined at least in part by short regions within the substrate known as docking sites. Docking sites are specific and modular, and can dramatically increase the efficiency of phosphorylation.

Animals↗

Docking domains and substrate-specificity determination for MAP kinases.

Signalling specificity in eukaryotic cells is maintained by several mechanisms. One mechanism by which mitogen-activated protein (MAP) kinases ensure their specificity of action is by interacting with their substrates through docking domains. These docking domains recruit the kinases to the correct substrates and enhance their fidelity and efficiency of action. Additional specificity determinants in the substrates serve to enhance the specificity of substrate phosphorylation by MAP kinases further.

Amino Acid Sequence↗

Insights into the selective inhibition of Candida albicans secreted aspartyl protease: a docking analysis study.

Severe fungal infections have taken precedence over other bacterial infections. Of the several fungal species, Candida albicans and others belonging to the genus Candida are responsible for several clinically important fungal infections. Emerging cases of drug resistance to the currently available drugs has limited the spectrum of currently available antifungal agents. Thus, it is imperative that new biochemical targets are identified so that better effective and selective agents can be developed. Many enzymes contribute towards the complex disease process of fungal infections; the secreted aspartyl protease (SAP), expressed both in vitro and during infection, has been implicated as one of the major virulence factors of C. albicans. Three-dimensional crystal structures of C. albicans SAP and closely related clinical isolate designated as SAP2X complexed with the same potent inhibitor A-70450 have been reported. Several analogues of A-70450 with potent C. albicans SAP2X inhibitory activity are also known. However, the structural effects of the binding of these compounds with the enzyme active site are not completely understood. Our efforts in this direction involve the docking analysis of C. albicans SAP2X inhibitors complexed with SAP2X enzyme, which is reported in this work. Docking analysis was performed on a set of molecules with differing selectivities and inhibitory potencies towards C. albicans, renin and cathepsin D. The structural effects of ligand binding were analyzed on the basis of hydrophobic and hydrogen bond interactions, binding energy analysis, interaction energies, rms deviations, etc. in the resulting energy-minimized structures of the receptor-ligand complexes. Structural analysis of the resulting models indicates that hydrophobic and hydrogen bonding interactions together with binding and interaction energies are responsible for selective inhibition of C. albicans SAP2X. Hydrophobic and hydrogen bonding interactions in the various subsites of the enzyme, contributing to both increase as well as decrease in selectivity of the molecules have been detailed. Hydrogen bonding interaction plays an important role for amino acid residues such as Gly-85, Asp-86, Asp-32, Asp-218, Tyr-225, Ala-133, and so on. Significant hydrophobic interactions with the S3, S2 and S2' subsites contribute to selectivity of the compounds. These molecular modeling analyses should, in our view, contribute for further development of selective C. albicans secreted aspartyl protease inhibitors.

Antifungal Agents↗

Discovery of new inhibitors of aldose reductase from molecular docking and database screening.

Aldose reductase (ALR2) is a target enzyme for the treatment of diabetic complications. Owing to the limited number of currently available drugs for the treatment of diabetic complications, the discovery of new inhibitors of ALR2 that can potentially be optimized as drugs appears highly desirable. In this study, a molecular docking analysis of the structures of more than 127,000 organic compounds contained in the National Cancer Institute database was performed to find and score molecules that are complementary to ALR2. Besides retrieving several carboxylic acid derivatives, which are known to generally inhibit aldose reductase, docking proposed other families of putative inhibitors such as sulfonic acids, nitro-derivatives, sulfonamides and carbonyl derivatives. Twenty-five compounds, chosen as the highest-scoring representatives of each of these families, were tested as aldose reductase inhibitors. Five of them were found to inhibit aldose reductase in the micromolar range. For these active compounds, selectivity with respect to the closely-related aldehyde reductase was determined by measuring the corresponding inhibitory activities. The structures of the complexes between the new lead inhibitors and aldose reductase, here refined with molecular mechanics and molecular dynamics calculations, suggest that new pharmacophoric groups can bind aldose reductase very efficiently. In the case of the family of the nitro-derivative inhibitors, a class of particularly interesting compounds, a round of optimizations was performed with the synthesis and biological evaluation of a series of derivatives aimed at testing the proposed binding mode and at improving interaction with active site residues. Starting from a hit compound having an IC(50) of 42 microM, the most potent compound synthesized showed a 10-fold increase in inhibitory activity and 10-fold selectivity with respect to ALR1, and structure--activity relationships of the designed compounds were in agreement with the proposed mode of binding at the active site.

Aldehyde Reductase↗

Catalysis, specificity, and ACP docking site of Streptomyces coelicolor malonyl-CoA:ACP transacylase.

Malonyl-CoA:ACP transacylase (MAT), the fabD gene product of Streptomyces coelicolor A3(2), participates in both fatty acid and polyketide synthesis pathways, transferring malonyl groups that are used as extender units in chain growth from malonyl-CoA to pathway-specific acyl carrier proteins (ACPs). Here, the 2.0 A structure reveals an invariant arginine bound to an acetate that mimics the malonyl carboxylate and helps define the extender unit binding site. Catalysis may only occur when the oxyanion hole is formed through substrate binding, preventing hydrolysis of the acyl-enzyme intermediate. Macromolecular docking simulations with actinorhodin ACP suggest that the majority of the ACP docking surface is formed by a helical flap. These results should help to engineer polyketide synthases (PKSs) that produce novel polyketides.

Amino Acid Sequence↗

The structure of docking domains in modular polyketide synthases.

Polyketides from actinomycete bacteria provide the basis for many valuable medicines, so engineering genes for their biosynthesis to produce variant molecules holds promise for drug discovery. The modular polyketide synthases are particularly amenable to this approach, because each cycle of chain extension is catalyzed by a different module of enzymes, and the modules are arranged within giant multienzyme subunits in the order in which they act. Protein-protein interactions between terminal docking domains of successive multienzymes promote their correct positioning within the assembly line, but because the overall complex is not stable in vitro, the key interactions have not been identified. We present here the NMR solution structure of a 120 residue polypeptide representing a typical pair of such domains, fused at their respective C and N termini: it adopts a stable dimeric structure which reveals the detailed role of these (predominantly helical) domains in docking and dimerization by modular polyketide synthases.

Amino Acid Sequence↗

Conformational analysis and docking study of potent factor XIIIa inhibitors having a cyclopropenone ring.

A conformational analysis and docking study of potent factor XIIIa inhibitors having a cyclopropenone ring were carried out in an attempt to obtain structural insight into the inhibition mechanism. First, stable conformers of the inhibitors alone were obtained from the conformational analysis by systematic search and molecular dynamics. Next, a binding form model of factor XIIIa was built based on an X-ray crystal structure of the enzyme. Finally, the docking study of the inhibitors into the model's binding site was performed. From the resulting stable complex structures, it was found that the cyclopropenone ring fits the active site located at the base of the binding cavity with high complementarity. The carbonyl oxygen of the cyclopropenone ring formed a hydrogen bond to the indole NH group of Trp279 and the terminal carbon atom of the reactive C=C double bond was in close proximity to the sulfur atom of the catalytic residue, Cys314. This binding mode suggests a possible inhibition mechanism, whereby the cysteine residue reacts with the cyclopropenone ring of the inhibitor, forming an enzyme-ligand adduct. In addition, the higher interaction energies between factor XIIIa and the inhibitors alluded to the probable binding sites of the ligand side chain.

Cyclopropanes↗

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↗

Can an optimization/scoring procedure in ligand-protein docking be employed to probe drug-resistant mutations in proteins?

A simple ligand-protein structural optimization and binding evaluation procedure has been routinely used in high-speed ligand-protein docking studies. In this work, we examine whether such an optimization/scoring procedure is useful in indicating possible drug-resistant mutations in proteins. Crystal structures of three wild-type enzymes (HIV-1 protease, HIV-1 reverse transcriptase, and Mycobacterium tuberculosis H37Rv enoyl-ACP reductase) complexed to a variety of inhibitors are studied. Mutations are introduced into these structures by using the molecular modeling software, SYBYL. Structural optimization and scoring of a mutant complex is conducted by a procedure similar to that used in a recent docking study (Wang et al., 1999). The computed results are compared with observed drug resistance data and the profile of nonresistant mutations. Most mutations studied show an energy change in the same direction as those indicated by observed resistance data. 50% of the polar to polar or nonpolar to nonpolar mutations are found to correlate qualitatively with observed drug resistance data. Van der Waals interactions account for most of these changes, which is in agreement with conclusions from structural studies. Substantially larger deviations are found between computed results and observed data for most polar to nonpolar or nonpolar to polar mutations, which result from deficiency in modelling and scoring ligand-protein interactions in our procedure. Our results suggest that an optimization/docking scoring procedure is useful for qualitatively probing polar to polar or nonpolar to nonpolar resistant mutations in addition to its application in screening active compounds. More accurate description of ligand-protein interactions and the use of methods such as free energy perturbation and Poisson-Boltzmann may be needed to further improve the quality of prediction.

Computer Simulation↗

Prediction of potential toxicity and side effect protein targets of a small molecule by a ligand-protein inverse docking approach.

Determination of potential drug toxicity and side effect in early stages of drug development is important in reducing the cost and time of drug discovery. In this work, we explore a computer method for predicting potential toxicity and side effect protein targets of a small molecule. A ligand-protein inverse docking approach is used for computer-automated search of a protein cavity database to identify protein targets. This database is developed from protein 3D structures in the protein data bank (PDB). Docking is conducted by a procedure involving multiple conformer shape-matching alignment of a molecule to a cavity followed by molecular-mechanics torsion optimization and energy minimization on both the molecule and the protein residues at the binding region. Potential protein targets are selected by evaluation of molecular mechanics energy and, while applicable, further analysis of its binding competitiveness against other ligands that bind to the same receptor site in at least one PDB entry. Our results on several drugs show that 83% of the experimentally known toxicity and side effect targets for these drugs are predicted. The computer search successfully predicted 38 and missed five experimentally confirmed or implicated protein targets with available structure and in which binding involves no covalent bond. There are additional 30 predicted targets yet to be validated experimentally. Application of this computer approach can potentially facilitate the prediction of toxicity and side effect of a drug or drug lead.

Ascorbic Acid↗

Docking motif interactions in MAP kinases revealed by hydrogen exchange mass spectrometry.

Protein interactions between MAP kinases and substrates, activators, and scaffolding proteins are regulated by docking site motifs, one containing basic residues proximal to Leu-X-Leu (DEJL) and a second containing Phe-X-Phe (DEF). Hydrogen exchange mass spectrometry was used to identify regions in MAP kinases protected from solvent by docking motif interactions. Protection by DEJL peptide binding was observed in loops spanning beta7-beta8 and alphaD-alphaE in p38alpha and ERK2. In contrast, protection by DEF binding to ERK2 revealed a distinct hydrophobic pocket for Phe-X-Phe binding formed between the P+1 site, alphaF helix, and the MAP kinase insert. In inactive ERK2, this pocket is occluded by intramolecular interactions with residues in the activation lip. In vitro assays confirm the dependence of Elk1 and nucleoporin binding on ERK2 phosphorylation, and provide a structural basis for preferential involvement of active ERK in substrate binding and nuclear pore protein interactions.

Amino Acid Sequence↗