Document Detail


Proteins: sequence to structure and function - current status.
MedLine Citation:
PMID:  20887265     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
In an era that has been dominated by Structural Biology for the last 30-40 years, a dramatic change of focus towards sequence analysis has spurred the advent of the genome projects and the resultant diverging sequence/structure deficit. The central challenge of Computational Structural Biology is therefore to rationalize the mass of sequence information into biochemical and biophysical knowledge and to decipher the structural, functional and evolutionary clues encoded in the language of biological sequences. In investigating the meaning of sequences, two distinct analytical themes have emerged: in the first approach, pattern recognition techniques are used to detect similarity between sequences and hence to infer related structures and functions; in the second ab initio prediction methods are used to deduce 3D structure, and ultimately to infer function, directly from the linear sequence. In this article, we attempt to provide a critical assessment of what one may and may not expect from the biological sequences and to identify major issues yet to be resolved. The presentation is organized under several subtitles like protein sequences, pattern recognition techniques, protein tertiary structure prediction, membrane protein bioinformatics, human proteome, protein-protein interactions, metabolic networks, potential drug targets based on simple sequence properties, disordered proteins, the sequence-structure relationship and chemical logic of protein sequences.
Authors:
Sandhya R Shenoy; B Jayaram
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Current protein & peptide science     Volume:  11     ISSN:  1875-5550     ISO Abbreviation:  Curr. Protein Pept. Sci.     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2011-01-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100960529     Medline TA:  Curr Protein Pept Sci     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  498-514     Citation Subset:  IM    
Affiliation:
Department of Chemistry & Supercomputing Facility for Bioinformatics and Computational Biology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India. bjayaram@chemistry.iitd.ac.in.
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