Literature DB >> 4843792

Amino acid difference formula to help explain protein evolution.

R Grantham.   

Abstract

A formula for diference between amino acids combines properties that correlate best with protein residue substitution frequencies: composition, polarity, and molecular volume. Substitution frequencies agree much better with overall chemical difference between exchanging residues than with minimum base changes between their codons. Correlation coefficients show that fixation of mutations between dissimilar amino acids is generally rare.

Mesh：

Substances：

Year:  1974        PMID： 4843792     DOI： 10.1126/science.185.4154.862

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


  729 in total

1.  Thermal adaptation analyzed by comparison of protein sequences from mesophilic and extremely thermophilic Methanococcus species.

Authors:  P J Haney; J H Badger; G L Buldak; C I Reich; C R Woese; G J Olsen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

2.  Positive and negative selection on the human genome.

Authors:  J C Fay; G J Wyckoff; C I Wu
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

3.  Coding rules for amino acids in the genetic code: the genetic code is a minimal code of mutational deterioration.

Authors:  Liaofu Luo; Xiaoqin Li
Journal:  Orig Life Evol Biosph       Date:  2002-02       Impact factor: 1.950

4.  Natural variation in human membrane transporter genes reveals evolutionary and functional constraints.

Authors:  Maya K Leabman; Conrad C Huang; Joseph DeYoung; Elaine J Carlson; Travis R Taylor; Melanie de la Cruz; Susan J Johns; Doug Stryke; Michiko Kawamoto; Thomas J Urban; Deanna L Kroetz; Thomas E Ferrin; Andrew G Clark; Neil Risch; Ira Herskowitz; Kathleen M Giacomini
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-28       Impact factor: 11.205

5.  Variation in salmonid mitochondrial DNA: evolutionary constraints and mechanisms of substitution.

Authors:  W K Thomas; A T Beckenbach
Journal:  J Mol Evol       Date:  1989-09       Impact factor: 2.395

6.  Path to facilitate the prediction of functional amino acid substitutions in red blood cell disorders--a computational approach.

Authors:  Rajith B; George Priya Doss C
Journal:  PLoS One       Date:  2011-09-13       Impact factor: 3.240

7.  A history of recurrent positive selection at the toll-like receptor 5 in primates.

Authors:  Gabriela Wlasiuk; Soofia Khan; William M Switzer; Michael W Nachman
Journal:  Mol Biol Evol       Date:  2009-01-29       Impact factor: 16.240

Review 8.  Machine learning-enabled discovery and design of membrane-active peptides.

Authors:  Ernest Y Lee; Gerard C L Wong; Andrew L Ferguson
Journal:  Bioorg Med Chem       Date:  2017-07-08       Impact factor: 3.641

9.  Quantifying rare, deleterious variation in 12 human cytochrome P450 drug-metabolism genes in a large-scale exome dataset.

Authors:  Adam S Gordon; Holly K Tabor; Andrew D Johnson; Beverly M Snively; Themistocles L Assimes; Paul L Auer; John P A Ioannidis; Ulrike Peters; Jennifer G Robinson; Lara E Sucheston; Danxin Wang; Nona Sotoodehnia; Jerome I Rotter; Bruce M Psaty; Rebecca D Jackson; David M Herrington; Christopher J O'Donnell; Alexander P Reiner; Stephen S Rich; Mark J Rieder; Michael J Bamshad; Deborah A Nickerson
Journal:  Hum Mol Genet       Date:  2013-11-26       Impact factor: 6.150

10.  Missense mutations in the homeodomain of HOXD13 are associated with brachydactyly types D and E.

Authors:  David Johnson; Shih-Hsin Kan; Michael Oldridge; Richard C Trembath; Philippe Roche; Robert M Esnouf; Henk Giele; Andrew O M Wilkie
Journal:  Am J Hum Genet       Date:  2003-03-14       Impact factor: 11.025
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.