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An automated stochastic approach to the identification of the protein specificity determinants and functional subfamilies

Recent progress in sequencing and 3 D structure determination techniques stimulated development of approaches aimed at more precise annotation of proteins, that is, prediction of exact specificity to a ligand or, more broadly, to a binding partner of any kind.

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Bibliographic Details
Main Authors: Mazin, Pavel V. (Author) , Gelfand, Mikhail S. (Author) , Mironov, Andrey A. (Author) , Rakhmaninova, Aleksandra B. (Author) , Rubinov, Anatoly R. (Author) , Russell, Robert B. (Author) , Kalinina, Olga V. (Author)
Format: Article (Journal)
Language:English
Published: 15 July 2010
In: Algorithms for molecular biology
Year: 2010, Volume: 5, Issue: 1, Pages: 1-12
ISSN:1748-7188
DOI:10.1186/1748-7188-5-29
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1748-7188-5-29
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Author Notes:Pavel V Mazin, Mikhail S Gelfand, Andrey A Mironov, Aleksandra B Rakhmaninova, Anatoly R Rubinov, Robert B Russell, Olga V Kalinina
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Summary:Recent progress in sequencing and 3 D structure determination techniques stimulated development of approaches aimed at more precise annotation of proteins, that is, prediction of exact specificity to a ligand or, more broadly, to a binding partner of any kind.
Item Description:Gesehen am 30.03.2023
Physical Description:Online Resource
ISSN:1748-7188
DOI:10.1186/1748-7188-5-29

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