Literature DB >> 20221929

Analysis and prediction of protein quaternary structure.

Anne Poupon1, Joel Janin.   

Abstract

The quaternary structure (QS) of a protein is determined by measuring its molecular weight in solution. The data have to be extracted from the literature, and they may be missing even for proteins that have a crystal structure reported in the Protein Data Bank (PDB). The PDB and other databases derived from it report QS information that either was obtained from the depositors or is based on an analysis of the contacts between polypeptide chains in the crystal, and this frequently differs from the QS determined in solution.The QS of a protein can be predicted from its sequence using either homology or threading methods. However, a majority of the proteins with less than 30% sequence identity have different QSs. A model of the QS can also be derived by docking the subunits when their 3D structure is independently known, but the model is likely to be incorrect if large conformation changes take place when the oligomer assembles.

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Substances:

Year:  2010        PMID: 20221929     DOI: 10.1007/978-1-60327-241-4_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

1.  HSYMDOCK: a docking web server for predicting the structure of protein homo-oligomers with Cn or Dn symmetry.

Authors:  Yumeng Yan; Huanyu Tao; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

Review 2.  On the binding affinity of macromolecular interactions: daring to ask why proteins interact.

Authors:  Panagiotis L Kastritis; Alexandre M J J Bonvin
Journal:  J R Soc Interface       Date:  2012-12-12       Impact factor: 4.118

3.  Improving predictions of protein-protein interfaces by combining amino acid-specific classifiers based on structural and physicochemical descriptors with their weighted neighbor averages.

Authors:  Fábio R de Moraes; Izabella A P Neshich; Ivan Mazoni; Inácio H Yano; José G C Pereira; José A Salim; José G Jardine; Goran Neshich
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

4.  SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information.

Authors:  Marco Biasini; Stefan Bienert; Andrew Waterhouse; Konstantin Arnold; Gabriel Studer; Tobias Schmidt; Florian Kiefer; Tiziano Gallo Cassarino; Martino Bertoni; Lorenza Bordoli; Torsten Schwede
Journal:  Nucleic Acids Res       Date:  2014-04-29       Impact factor: 16.971

5.  A PDB-wide, evolution-based assessment of protein-protein interfaces.

Authors:  Kumaran Baskaran; Jose M Duarte; Nikhil Biyani; Spencer Bliven; Guido Capitani
Journal:  BMC Struct Biol       Date:  2014-10-18

6.  GalaxyHomomer: a web server for protein homo-oligomer structure prediction from a monomer sequence or structure.

Authors:  Minkyung Baek; Taeyong Park; Lim Heo; Chiwook Park; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

7.  Accurate Classification of Biological and non-Biological Interfaces in Protein Crystal Structures using Subtle Covariation Signals.

Authors:  Yoshinori Fukasawa; Kentaro Tomii
Journal:  Sci Rep       Date:  2019-08-30       Impact factor: 4.379

8.  Protein interface classification by evolutionary analysis.

Authors:  Jose M Duarte; Adam Srebniak; Martin A Schärer; Guido Capitani
Journal:  BMC Bioinformatics       Date:  2012-12-22       Impact factor: 3.169

9.  Structural characterization and subcellular localization of Drosophila organic solute carrier partner 1.

Authors:  Nguyen Tho Huu; Hideki Yoshida; Takanari Umegawachi; Seiji Miyata; Masamitsu Yamaguchi
Journal:  BMC Biochem       Date:  2014-06-18       Impact factor: 4.059

Review 10.  Understanding the fabric of protein crystals: computational classification of biological interfaces and crystal contacts.

Authors:  Guido Capitani; Jose M Duarte; Kumaran Baskaran; Spencer Bliven; Joseph C Somody
Journal:  Bioinformatics       Date:  2015-10-27       Impact factor: 6.937

  10 in total

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