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Correlated mutation analyses on super-family alignments reveal functionally important residues

Correlated mutation analyses (CMA) on multiple sequence alignments are widely used for the prediction of the function of amino acids. The accuracy of CMA‐based predictions is mainly determined by the number of sequences, by their evolutionary distances, and by the quality of the alignments. These cr...

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Published in:Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2009-08, Vol.76 (3), p.608-616
Main Authors: Kuipers, Remko K. P., Joosten, Henk-Jan, Verwiel, Eugene, Paans, Sjoerd, Akerboom, Jasper, van der Oost, John, Leferink, Nicole G. H., van Berkel, Willem J. H., Vriend, Gert, Schaap, Peter J.
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cited_by cdi_FETCH-LOGICAL-c4524-f5c0315923a83ad4a98acf8ee51ff593ba2108fb25d54b5d0dcc2f57a2343d5f3
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creator Kuipers, Remko K. P.
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description Correlated mutation analyses (CMA) on multiple sequence alignments are widely used for the prediction of the function of amino acids. The accuracy of CMA‐based predictions is mainly determined by the number of sequences, by their evolutionary distances, and by the quality of the alignments. These criteria are best met in structure‐based sequence alignments of large super‐families. So far, CMA‐techniques have mainly been employed to study the receptor interactions. The present work shows how a novel CMA tool, called Comulator, can be used to determine networks of functionally related residues in enzymes. These analyses provide leads for protein engineering studies that are directed towards modification of enzyme specificity or activity. As proof of concept, Comulator has been applied to four enzyme super‐families: the isocitrate lyase/phoshoenol‐pyruvate mutase super‐family, the hexokinase super‐family, the RmlC‐like cupin super‐family, and the FAD‐linked oxidases super‐family. In each of those cases networks of functionally related residue positions were discovered that upon mutation influenced enzyme specificity and/or activity as predicted. We conclude that CMA is a powerful tool for redesigning enzyme activity and selectivity. Proteins 2009. © 2009 Wiley‐Liss, Inc.
doi_str_mv 10.1002/prot.22374
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P. ; Joosten, Henk-Jan ; Verwiel, Eugene ; Paans, Sjoerd ; Akerboom, Jasper ; van der Oost, John ; Leferink, Nicole G. H. ; van Berkel, Willem J. H. ; Vriend, Gert ; Schaap, Peter J.</creator><creatorcontrib>Kuipers, Remko K. P. ; Joosten, Henk-Jan ; Verwiel, Eugene ; Paans, Sjoerd ; Akerboom, Jasper ; van der Oost, John ; Leferink, Nicole G. H. ; van Berkel, Willem J. H. ; Vriend, Gert ; Schaap, Peter J.</creatorcontrib><description>Correlated mutation analyses (CMA) on multiple sequence alignments are widely used for the prediction of the function of amino acids. The accuracy of CMA‐based predictions is mainly determined by the number of sequences, by their evolutionary distances, and by the quality of the alignments. These criteria are best met in structure‐based sequence alignments of large super‐families. So far, CMA‐techniques have mainly been employed to study the receptor interactions. The present work shows how a novel CMA tool, called Comulator, can be used to determine networks of functionally related residues in enzymes. These analyses provide leads for protein engineering studies that are directed towards modification of enzyme specificity or activity. As proof of concept, Comulator has been applied to four enzyme super‐families: the isocitrate lyase/phoshoenol‐pyruvate mutase super‐family, the hexokinase super‐family, the RmlC‐like cupin super‐family, and the FAD‐linked oxidases super‐family. In each of those cases networks of functionally related residue positions were discovered that upon mutation influenced enzyme specificity and/or activity as predicted. We conclude that CMA is a powerful tool for redesigning enzyme activity and selectivity. 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P.</au><au>Joosten, Henk-Jan</au><au>Verwiel, Eugene</au><au>Paans, Sjoerd</au><au>Akerboom, Jasper</au><au>van der Oost, John</au><au>Leferink, Nicole G. H.</au><au>van Berkel, Willem J. H.</au><au>Vriend, Gert</au><au>Schaap, Peter J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlated mutation analyses on super-family alignments reveal functionally important residues</atitle><jtitle>Proteins, structure, function, and bioinformatics</jtitle><addtitle>Proteins</addtitle><date>2009-08-15</date><risdate>2009</risdate><volume>76</volume><issue>3</issue><spage>608</spage><epage>616</epage><pages>608-616</pages><issn>0887-3585</issn><eissn>1097-0134</eissn><abstract>Correlated mutation analyses (CMA) on multiple sequence alignments are widely used for the prediction of the function of amino acids. 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source Wiley-Blackwell Read & Publish Collection
subjects 3DM
Algorithms
archaeon pyrococcus-furiosus
Computational Biology - methods
comulator
conservation
cupins
determinants
enzyme
FAD-oxidases
furiosus phosphoglucose isomerase
Glucose-6-Phosphate Isomerase - chemistry
Glucose-6-Phosphate Isomerase - genetics
hexo-kinases
Hexokinase - chemistry
Hexokinase - genetics
hiv-1 protease
Isocitrate Lyase - chemistry
Isocitrate Lyase - genetics
isocitrate-lyase/phosphoenolpyruvate lyases
Models, Molecular
Mutagenesis
Oxidoreductases - chemistry
Oxidoreductases - genetics
Oxidoreductases Acting on CH-CH Group Donors - chemistry
Oxidoreductases Acting on CH-CH Group Donors - genetics
protein engineering
Protein Structure, Secondary
proteins
rational design
receptors
Software
substrate-binding
superfamily
title Correlated mutation analyses on super-family alignments reveal functionally important residues
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