Literature DB >> 16388092

Co-evolution analysis on endocrine research: a methodological approach.

Tonghai Dou1, Shuai Chen, Chaoneng Ji, Yi Xie, Yumin Mao.   

Abstract

The rapid growth of different kinds of biological information allows a good opportunity to analyze the co-evolutionary characteristics in endocrine regulatory pathways. Data ranging from kinds of species' genome, gene sequence, protein structure, and expression profile of different organisms can reveal the inner co-evolutionary relationship of ligands, receptors, and other related molecules. In return, these co-evolutionary characteristics can help us determine uncharacterized ligands and receptors, annotate gene functions, highlight amino acid residues with biochemical significance, and identify regulated genes in the endocrine process. Encouraging examples in this field, although at their starting stage, have emerged. Here we focus on recent progress in endocrine-related co-evolution research from a methodological approach.

Mesh:

Year:  2005        PMID: 16388092     DOI: 10.1385/ENDO:28:2:187

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  56 in total

1.  Co-evolution of proteins with their interaction partners.

Authors:  C S Goh; A A Bogan; M Joachimiak; D Walther; F E Cohen
Journal:  J Mol Biol       Date:  2000-06-02       Impact factor: 5.469

2.  Co-evolutionary analysis reveals insights into protein-protein interactions.

Authors:  Chern-Sing Goh; Fred E Cohen
Journal:  J Mol Biol       Date:  2002-11-15       Impact factor: 5.469

3.  Structural determinants of allosteric ligand activation in RXR heterodimers.

Authors:  Andrew I Shulman; Christopher Larson; David J Mangelsdorf; Rama Ranganathan
Journal:  Cell       Date:  2004-02-06       Impact factor: 41.582

4.  The interaction of class B G protein-coupled receptors with their hormones.

Authors:  F Horn; R Bywater; G Krause; W Kuipers; L Oliveira; A C Paiva; C Sander; G Vriend
Journal:  Receptors Channels       Date:  1998

5.  Correlated mutations contain information about protein-protein interaction.

Authors:  F Pazos; M Helmer-Citterich; G Ausiello; A Valencia
Journal:  J Mol Biol       Date:  1997-08-29       Impact factor: 5.469

6.  Episodic evolution of growth hormone in primates and emergence of the species specificity of human growth hormone receptor.

Authors:  J C Liu; K D Makova; R M Adkins; S Gibson; W H Li
Journal:  Mol Biol Evol       Date:  2001-06       Impact factor: 16.240

7.  Bone morphogenetic protein receptor type II is a receptor for growth differentiation factor-9.

Authors:  Ursula A Vitt; Sabine Mazerbourg; Cynthia Klein; Aaron J W Hsueh
Journal:  Biol Reprod       Date:  2002-08       Impact factor: 4.285

8.  Co-evolution of ligand-receptor pairs.

Authors:  W R Moyle; R K Campbell; R V Myers; M P Bernard; Y Han; X Wang
Journal:  Nature       Date:  1994-03-17       Impact factor: 49.962

9.  Rapid divergence of the ecdysone receptor in Diptera and Lepidoptera suggests coevolution between ECR and USP-RXR.

Authors:  François Bonneton; Dominique Zelus; Thomas Iwema; Marc Robinson-Rechavi; Vincent Laudet
Journal:  Mol Biol Evol       Date:  2003-03-05       Impact factor: 16.240

10.  Prolinks: a database of protein functional linkages derived from coevolution.

Authors:  Peter M Bowers; Matteo Pellegrini; Mike J Thompson; Joe Fierro; Todd O Yeates; David Eisenberg
Journal:  Genome Biol       Date:  2004-04-16       Impact factor: 13.583

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