Literature DB >> 11790845

Persistently conserved positions in structurally similar, sequence dissimilar proteins: roles in preserving protein fold and function.

Iddo Friedberg1, Hanah Margalit.   

Abstract

Many protein pairs that share the same fold do not have any detectable sequence similarity, providing a valuable source of information for studying sequence-structure relationship. In this study, we use a stringent data set of structurally similar, sequence-dissimilar protein pairs to characterize residues that may play a role in the determination of protein structure and/or function. For each protein in the database, we identify amino-acid positions that show residue conservation within both close and distant family members. These positions are termed "persistently conserved". We then proceed to determine the "mutually" persistently conserved (MPC) positions: those structurally aligned positions in a protein pair that are persistently conserved in both pair mates. Because of their intra- and interfamily conservation, these positions are good candidates for determining protein fold and function. We find that 45% of the persistently conserved positions are mutually conserved. A significant fraction of them are located in critical positions for secondary structure determination, they are mostly buried, and many of them form spatial clusters within their protein structures. A substitution matrix based on the subset of MPC positions shows two distinct characteristics: (i) it is different from other available matrices, even those that are derived from structural alignments; (ii) its relative entropy is high, emphasizing the special residue restrictions imposed on these positions. Such a substitution matrix should be valuable for protein design experiments.

Mesh:

Substances:

Year:  2002        PMID: 11790845      PMCID: PMC2373454          DOI: 10.1110/ps.18602

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  42 in total

1.  Expectations from structural genomics.

Authors:  S E Brenner; M Levitt
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

2.  Genetic studies of the Lac repressor. XV: 4000 single amino acid substitutions and analysis of the resulting phenotypes on the basis of the protein structure.

Authors:  J Suckow; P Markiewicz; L G Kleina; J Miller; B Kisters-Woike; B Müller-Hill
Journal:  J Mol Biol       Date:  1996-08-30       Impact factor: 5.469

3.  SSAP: sequential structure alignment program for protein structure comparison.

Authors:  C A Orengo; W R Taylor
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

4.  SCOP: a structural classification of proteins database for the investigation of sequences and structures.

Authors:  A G Murzin; S E Brenner; T Hubbard; C Chothia
Journal:  J Mol Biol       Date:  1995-04-07       Impact factor: 5.469

5.  The FSSP database: fold classification based on structure-structure alignment of proteins.

Authors:  L Holm; C Sander
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

6.  Protein stability effects of a complete set of alanine substitutions in Arc repressor.

Authors:  M E Milla; B M Brown; R T Sauer
Journal:  Nat Struct Biol       Date:  1994-08

7.  Protein superfamilies and domain superfolds.

Authors:  C A Orengo; D T Jones; J M Thornton
Journal:  Nature       Date:  1994-12-15       Impact factor: 49.962

8.  Replacement of tryptophan residues in haloalkane dehalogenase reduces halide binding and catalytic activity.

Authors:  C Kennes; F Pries; G H Krooshof; E Bokma; J Kingma; D B Janssen
Journal:  Eur J Biochem       Date:  1995-03-01

9.  Genetic studies of the lac repressor. XIV. Analysis of 4000 altered Escherichia coli lac repressors reveals essential and non-essential residues, as well as "spacers" which do not require a specific sequence.

Authors:  P Markiewicz; L G Kleina; C Cruz; S Ehret; J H Miller
Journal:  J Mol Biol       Date:  1994-07-29       Impact factor: 5.469

10.  Amino acid pair interchanges at spatially conserved locations.

Authors:  D Naor; D Fischer; R L Jernigan; H J Wolfson; R Nussinov
Journal:  J Mol Biol       Date:  1996-03-15       Impact factor: 5.469

View more
  24 in total

1.  Mining combinatorial data in protein sequences and structures.

Authors:  S G Jacchieri
Journal:  Mol Divers       Date:  2000       Impact factor: 2.943

2.  Protein-protein interactions: structurally conserved residues distinguish between binding sites and exposed protein surfaces.

Authors:  Buyong Ma; Tal Elkayam; Haim Wolfson; Ruth Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-01       Impact factor: 11.205

3.  Evolution and comparative genomics of odorant- and pheromone-associated genes in rodents.

Authors:  Richard D Emes; Scott A Beatson; Chris P Ponting; Leo Goodstadt
Journal:  Genome Res       Date:  2004-04       Impact factor: 9.043

4.  Automatic generation and evaluation of sparse protein signatures for families of protein structural domains.

Authors:  Matthew J Blades; Jon C Ison; Ranjeeva Ranasinghe; John B C Findlay
Journal:  Protein Sci       Date:  2005-01       Impact factor: 6.725

5.  Atomic interaction networks in the core of protein domains and their native folds.

Authors:  Venkataramanan Soundararajan; Rahul Raman; S Raguram; V Sasisekharan; Ram Sasisekharan
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

6.  Probabilistic divergence of a template-based modelling methodology from the ideal protocol.

Authors:  Ashish Runthala
Journal:  J Mol Model       Date:  2021-01-07       Impact factor: 1.810

7.  Common features in structures and sequences of sandwich-like proteins.

Authors:  Alexander E Kister; Alexei V Finkelstein; Israel M Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-16       Impact factor: 11.205

8.  Differential Substrate Recognition by Maltose Binding Proteins Influenced by Structure and Dynamics.

Authors:  Shantanu Shukla; Khushboo Bafna; Caeley Gullett; Dean A A Myles; Pratul K Agarwal; Matthew J Cuneo
Journal:  Biochemistry       Date:  2018-09-25       Impact factor: 3.162

9.  Inconsistent distances in substitution matrices can be avoided by properly handling hydrophobic residues.

Authors:  J Baussand; A Carbone
Journal:  Evol Bioinform Online       Date:  2008-10-09       Impact factor: 1.625

10.  Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

Authors:  Rasna R Walia; Cornelia Caragea; Benjamin A Lewis; Fadi Towfic; Michael Terribilini; Yasser El-Manzalawy; Drena Dobbs; Vasant Honavar
Journal:  BMC Bioinformatics       Date:  2012-05-10       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.