Literature DB >> 1593634

Optimal protocol and trajectory visualization for conformational searches of peptides and proteins.

R Abagyan1, P Argos.   

Abstract

Conformational searches by molecular dynamics and different types of Monte Carlo or build-up methods usually aim to find the lowest-energy conformation. However, this is often misleading, as the energy functions used in conformational calculations are imprecise. For instance, though positions of local minima defined by the repulsive part of the Lennard-Jones potential are usually altered only slightly by functional modification, the relative depths of the minima could change significantly. Thus, the purpose of conformational searches and, correspondingly, performance criteria should be reformulated and appropriate methods found to extract different local minima from the search trajectory and allow visualization in the search space. Attempts at convergence to the lowest-energy structure should be replaced with efforts to visit a maximum number of different local energy minima with energies within a certain range. We use this quantitative criterion consistently to evaluate performances of different search procedures. To utilize information generated in the course of simulation, a "stack" of low energy conformations is created and stored. It keeps track of variables and visit numbers for the best representatives of different conformational families. To visualize the search, projection of multidimensional walks onto a principal plane defined by a set of reference structures is used. With Met-enkephalin as a structural example and a Monte Carlo procedure combined with energy minimization (MCM) as a basic search method, we analyzed the influence on search efficiency of different characteristics as temperature schedules, the step size for variable modification, constrained random step and response mechanisms to search difficulties. Simulated annealing MCM had comparable efficiency with MCM at constant and elevated temperature (about 600 K). Constraining the randomized choice of side-chain chi angles to optimal values (rotamers) on every MCM step did not improve, but rather worsened, the search efficiency. Two low-energy Met-enkephalin conformations with parallel Tyr1 and Phe4 rings, a gamma-turn around the Gly2 residue, and Phe4 and Met5 side-chains forming together a compact hydrophobic cluster were found and are suggested as possible structural candidates for interaction with a receptor or a membrane.

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Year:  1992        PMID: 1593634     DOI: 10.1016/0022-2836(92)90936-e

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  22 in total

1.  Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Authors:  A V Filikov; V Mohan; T A Vickers; R H Griffey; P D Cook; R A Abagyan; T L James
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

2.  Soft protein-protein docking in internal coordinates.

Authors:  Juan Fernández-Recio; Maxim Totrov; Ruben Abagyan
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

3.  Atomically detailed folding simulation of the B domain of staphylococcal protein A from random structures.

Authors:  Jorge A Vila; Daniel R Ripoll; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-24       Impact factor: 11.205

Review 4.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

5.  Comparative study of several algorithms for flexible ligand docking.

Authors:  Badry D Bursulaya; Maxim Totrov; Ruben Abagyan; Charles L Brooks
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

6.  Dependency of ligand free energy landscapes on charge parameters and solvent models.

Authors:  Yuko Okamoto; Toshimasa Tanaka; Hironori Kokubo
Journal:  J Comput Aided Mol Des       Date:  2010-05-22       Impact factor: 3.686

7.  Predicting the preferred conformations of luteolin-4'-O-β-D-glucoside in gas phase: a comparison of two computational approaches.

Authors:  Yongzhi Li; Xiuhua Liu; Dong Chen; Zhichao Wei; Bo Liu
Journal:  J Mol Model       Date:  2013-06-09       Impact factor: 1.810

8.  Analysis of helix-helix interactions of bacteriorhodopsin by replica-exchange simulations.

Authors:  Hironori Kokubo; Yuko Okamoto
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

9.  Structure refinement of protein low resolution models using the GNEIMO constrained dynamics method.

Authors:  In-Hee Park; Vamshi Gangupomu; Jeffrey Wagner; Abhinandan Jain; Nagarajan Vaidehi
Journal:  J Phys Chem B       Date:  2012-02-16       Impact factor: 2.991

10.  Design, creation, and characterization of a stable, monomeric triosephosphate isomerase.

Authors:  T V Borchert; R Abagyan; R Jaenicke; R K Wierenga
Journal:  Proc Natl Acad Sci U S A       Date:  1994-02-15       Impact factor: 11.205

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