Literature DB >> 22323215

Classification of proteins: available structural space for molecular modeling.

Antonina Andreeva1.   

Abstract

The wealth of available protein structural data provides unprecedented opportunity to study and better understand the underlying principles of protein folding and protein structure evolution. A key to achieving this lies in the ability to analyse these data and to organize them in a coherent classification scheme. Over the past years several protein classifications have been developed that aim to group proteins based on their structural relationships. Some of these classification schemes explore the concept of structural neighbourhood (structural continuum), whereas other utilize the notion of protein evolution and thus provide a discrete rather than continuum view of protein structure space. This chapter presents a strategy for classification of proteins with known three-dimensional structure. Steps in the classification process along with basic definitions are introduced. Examples illustrating some fundamental concepts of protein folding and evolution with a special focus on the exceptions to them are presented.

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Year:  2012        PMID: 22323215     DOI: 10.1007/978-1-61779-588-6_1

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


  4 in total

Review 1.  Pathological unfoldomics of uncontrolled chaos: intrinsically disordered proteins and human diseases.

Authors:  Vladimir N Uversky; Vrushank Davé; Lilia M Iakoucheva; Prerna Malaney; Steven J Metallo; Ravi Ramesh Pathak; Andreas C Joerger
Journal:  Chem Rev       Date:  2014-05-15       Impact factor: 60.622

Review 2.  The language of the protein universe.

Authors:  Andrea Scaiewicz; Michael Levitt
Journal:  Curr Opin Genet Dev       Date:  2015-11-03       Impact factor: 5.578

3.  SCOP2 prototype: a new approach to protein structure mining.

Authors:  Antonina Andreeva; Dave Howorth; Cyrus Chothia; Eugene Kulesha; Alexey G Murzin
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

4.  Evolutionary convergence and divergence in archaeal chromosomal proteins and Chromo-like domains from bacteria and eukaryotes.

Authors:  Gurmeet Kaur; Lakshminarayan M Iyer; Srikrishna Subramanian; L Aravind
Journal:  Sci Rep       Date:  2018-04-18       Impact factor: 4.379

  4 in total

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