Literature DB >> 26141829

Practical analysis of specificity-determining residues in protein families.

Mónica Chagoyen, Juan A García-Martín, Florencio Pazos.   

Abstract

Determining the residues that are important for the molecular activity of a protein is a topic of broad interest in biomedicine and biotechnology. This knowledge can help understanding the protein's molecular mechanism as well as to fine-tune its natural function eventually with biotechnological or therapeutic implications. Some of the protein residues are essential for the function common to all members of a family of proteins, while others explain the particular specificities of certain subfamilies (like binding on different substrates or cofactors and distinct binding affinities). Owing to the difficulty in experimentally determining them, a number of computational methods were developed to detect these functional residues, generally known as 'specificity-determining positions' (or SDPs), from a collection of homologous protein sequences. These methods are mature enough for being routinely used by molecular biologists in directing experiments aimed at getting insight into the functional specificity of a family of proteins and eventually modifying it. In this review, we summarize some of the recent discoveries achieved through SDP computational identification in a number of relevant protein families, as well as the main approaches and software tools available to perform this type of analysis.
© The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  multiple sequence alignment (MSA); protein design; protein function; protein functional site; protein functional specificity; specificity-determining position (SDP)

Mesh:

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Year:  2015        PMID: 26141829     DOI: 10.1093/bib/bbv045

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  7 in total

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2.  Zebra2: advanced and easy-to-use web-server for bioinformatic analysis of subfamily-specific and conserved positions in diverse protein superfamilies.

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3.  Evolution of protein kinase substrate recognition at the active site.

Authors:  David Bradley; Pedro Beltrao
Journal:  PLoS Biol       Date:  2019-06-24       Impact factor: 8.029

4.  A Bioinformatics Analysis Reveals a Group of MocR Bacterial Transcriptional Regulators Linked to a Family of Genes Coding for Membrane Proteins.

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Journal:  Biochem Res Int       Date:  2016-06-30

5.  Effect of the sequence data deluge on the performance of methods for detecting protein functional residues.

Authors:  Diego Garrido-Martín; Florencio Pazos
Journal:  BMC Bioinformatics       Date:  2018-02-27       Impact factor: 3.169

6.  Automatic detection of genomic regions with informative epigenetic patterns.

Authors:  Florencio Pazos; Adrian Garcia-Moreno; Juan C Oliveros
Journal:  BMC Genomics       Date:  2018-11-28       Impact factor: 3.969

7.  Prediction of Protein Sites and Physicochemical Properties Related to Functional Specificity.

Authors:  Florencio Pazos
Journal:  Bioengineering (Basel)       Date:  2021-12-03
  7 in total

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