Literature DB >> 8278414

How frequent are correlated changes in families of protein sequences?

E Neher1.   

Abstract

A loss-of-function point mutation in a protein is often rescued by an additional mutation that compensates for the original physical change. According to one hypothesis, such compensation would be most effective in maintaining a structural motif if the two mutated residues were spatial neighbors. If this hypothesis were correct, one would expect that many such compensatory mutations have occurred during evolution and that present-day protein families show some degree of correlation in the occurrence of amino acid residues at positions whose side chains are in contact. Here, a statistical theory is presented which allows evaluation of correlations in a family of aligned protein sequences by assigning a scalar metric (such as charge or side-chain volume) to each type of amino acid and calculating correlation coefficients of these quantities at different positions. For the family of myoglobins it is found that there is a high correlation between fluctuations in neighboring charges. The correlation is close to what would be expected for total conservation of local charge. For the metric side-chain volume, on the other hand, no correlation could be found.

Mesh:

Substances:

Year:  1994        PMID: 8278414      PMCID: PMC42893          DOI: 10.1073/pnas.91.1.98

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

1.  Conservation analysis and structure prediction of the SH2 family of phosphotyrosine binding domains.

Authors:  R B Russell; J Breed; G J Barton
Journal:  FEBS Lett       Date:  1992-06-08       Impact factor: 4.124

2.  Database of homology-derived protein structures and the structural meaning of sequence alignment.

Authors:  C Sander; R Schneider
Journal:  Proteins       Date:  1991

3.  Coordinated amino acid changes in homologous protein families.

Authors:  D Altschuh; T Vernet; P Berti; D Moras; K Nagai
Journal:  Protein Eng       Date:  1988-09

4.  On the nature of the protein interior.

Authors:  M H Klapper
Journal:  Biochim Biophys Acta       Date:  1971-03-23

5.  How different amino acid sequences determine similar protein structures: the structure and evolutionary dynamics of the globins.

Authors:  A M Lesk; C Chothia
Journal:  J Mol Biol       Date:  1980-01-25       Impact factor: 5.469

6.  Analysis of mutations in the transmembrane region of the aspartate chemoreceptor in Escherichia coli.

Authors:  K Oosawa; M Simon
Journal:  Proc Natl Acad Sci U S A       Date:  1986-09       Impact factor: 11.205

7.  Correlation of co-ordinated amino acid substitutions with function in viruses related to tobacco mosaic virus.

Authors:  D Altschuh; A M Lesk; A C Bloomer; A Klug
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

8.  The relation between the divergence of sequence and structure in proteins.

Authors:  C Chothia; A M Lesk
Journal:  EMBO J       Date:  1986-04       Impact factor: 11.598

  8 in total
  93 in total

Review 1.  Structural organization of G-protein-coupled receptors.

Authors:  A L Lomize; I D Pogozheva; H I Mosberg
Journal:  J Comput Aided Mol Des       Date:  1999-07       Impact factor: 3.686

2.  Mutually compensatory mutations during evolution of the tetramerization domain of tumor suppressor p53 lead to impaired hetero-oligomerization.

Authors:  M G Mateu; A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

3.  Use of residue pairs in protein sequence-sequence and sequence-structure alignments.

Authors:  J Jung; B Lee
Journal:  Protein Sci       Date:  2000-08       Impact factor: 6.725

4.  Finding important sites in protein sequences.

Authors:  Peter J Bickel; Katherina J Kechris; Philip C Spector; Gary J Wedemayer; Alexander N Glazer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-04       Impact factor: 11.205

Review 5.  Genomic biodiversity, phylogenetics and coevolution in proteins.

Authors:  David D Pollock
Journal:  Appl Bioinformatics       Date:  2002

6.  Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

7.  Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis.

Authors:  Timothy Nugent; David T Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

8.  Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis.

Authors:  Angel E Dago; Alexander Schug; Andrea Procaccini; James A Hoch; Martin Weigt; Hendrik Szurmant
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-05       Impact factor: 11.205

9.  From residue coevolution to protein conformational ensembles and functional dynamics.

Authors:  Ludovico Sutto; Simone Marsili; Alfonso Valencia; Francesco Luigi Gervasio
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-20       Impact factor: 11.205

10.  Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction.

Authors:  Susann Vorberg; Stefan Seemayer; Johannes Söding
Journal:  PLoS Comput Biol       Date:  2018-11-05       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.