Literature DB >> 15072690

FlexProt: alignment of flexible protein structures without a predefinition of hinge regions.

Maxim Shatsky1, Ruth Nussinov, Haim J Wolfson.   

Abstract

FlexProt is a novel technique for the alignment of flexible proteins. Unlike all previous algorithms designed to solve the problem of structural comparisons allowing hinge-bending motions, FlexProt does not require an a priori knowledge of the location of the hinge(s). FlexProt carries out the flexible alignment, superimposing the matching rigid subpart pairs, and detects the flexible hinge regions simultaneously. A large number of methods are available to handle rigid structural alignment. However, proteins are flexible molecules, which may appear in different conformations. Hence, protein structural analysis requires algorithms that can deal with molecular flexibility. Here, we present a method addressing specifically a flexible protein alignment task. First, the method efficiently detects maximal congruent rigid fragments in both molecules. Transforming the task into a graph theoretic problem, our method proceeds to calculate the optimal arrangement of previously detected maximal congruent rigid fragments. The fragment arrangement does not violate the protein sequence order. A clustering procedure is performed on fragment-pairs which have the same 3-D rigid transformation regardless of insertions and deletions (such as loops and turns) which separate them. Although the theoretical worst case complexity of the algorithm is O(n(6)), in practice FlexProt is highly efficient. It performs a structural comparison of a pair of proteins 300 amino acids long in about seven seconds on a standard desktop PC (400 MHz Pentium II processor with 256MB internal memory). We have performed extensive experiments with the algorithm. An assortment of these results is presented here. FlexProt can be accessed via WWW at bioinfo3d.cs.tau.ac.il/FlexProt/.

Entities:  

Mesh:

Year:  2004        PMID: 15072690     DOI: 10.1089/106652704773416902

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  18 in total

1.  BioInfo3D: a suite of tools for structural bioinformatics.

Authors:  Maxim Shatsky; Oranit Dror; Dina Schneidman-Duhovny; Ruth Nussinov; Haim J Wolfson
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  StoneHinge: hinge prediction by network analysis of individual protein structures.

Authors:  Kevin S Keating; Samuel C Flores; Mark B Gerstein; Leslie A Kuhn
Journal:  Protein Sci       Date:  2009-02       Impact factor: 6.725

3.  Communication: Capturing protein multiscale thermal fluctuations.

Authors:  Kristopher Opron; Kelin Xia; Guo-Wei Wei
Journal:  J Chem Phys       Date:  2015-06-07       Impact factor: 3.488

4.  Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis.

Authors:  Kristopher Opron; Kelin Xia; Zach Burton; Guo-Wei Wei
Journal:  J Comput Chem       Date:  2016-03-01       Impact factor: 3.376

5.  Structure and function of ameloblastin as an extracellular matrix protein: adhesion, calcium binding, and CD63 interaction in human and mouse.

Authors:  Xu Zhang; Thomas G H Diekwisch; Xianghong Luan
Journal:  Eur J Oral Sci       Date:  2011-12       Impact factor: 2.612

Review 6.  Principles of flexible protein-protein docking.

Authors:  Nelly Andrusier; Efrat Mashiach; Ruth Nussinov; Haim J Wolfson
Journal:  Proteins       Date:  2008-11-01

7.  Identification of local conformational similarity in structurally variable regions of homologous proteins using protein blocks.

Authors:  Garima Agarwal; Swapnil Mahajan; Narayanaswamy Srinivasan; Alexandre G de Brevern
Journal:  PLoS One       Date:  2011-03-18       Impact factor: 3.240

8.  A mathematical framework for protein structure comparison.

Authors:  Wei Liu; Anuj Srivastava; Jinfeng Zhang
Journal:  PLoS Comput Biol       Date:  2011-02-03       Impact factor: 4.475

9.  A novel method to compare protein structures using local descriptors.

Authors:  Paweł Daniluk; Bogdan Lesyng
Journal:  BMC Bioinformatics       Date:  2011-08-17       Impact factor: 3.169

10.  FLORA: a novel method to predict protein function from structure in diverse superfamilies.

Authors:  Oliver C Redfern; Benoît H Dessailly; Timothy J Dallman; Ian Sillitoe; Christine A Orengo
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.