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1
Observations of amino acid gain and loss during protein evolution are explained by statistical bias.
Mol Biol Evol. 2006 Jul;23(7):1444-9. doi: 10.1093/molbev/msl010. Epub 2006 May 11.
2
ProtTest: selection of best-fit models of protein evolution.
Bioinformatics. 2005 May 1;21(9):2104-5. doi: 10.1093/bioinformatics/bti263. Epub 2005 Jan 12.
3
Modeling evolution at the protein level using an adjustable amino acid fitness model.
Pac Symp Biocomput. 2000:18-29. doi: 10.1142/9789814447331_0003.
4
A universal trend of amino acid gain and loss in protein evolution.
Nature. 2005 Feb 10;433(7026):633-8. doi: 10.1038/nature03306. Epub 2005 Jan 19.
5
Evolution as a Guide to Designing Amino Acid Alphabets.
Int J Mol Sci. 2021 Mar 10;22(6):2787. doi: 10.3390/ijms22062787.
6
Apparent trends of amino Acid gain and loss in protein evolution due to nearly neutral variation.
Mol Biol Evol. 2006 Feb;23(2):240-4. doi: 10.1093/molbev/msj026. Epub 2005 Sep 29.
7
Effect of co-evolving amino acid residues on topology of phylogenetic trees.
Biochemistry (Mosc). 2007 Dec;72(12):1363-7. doi: 10.1134/s0006297907120103.
9
Correlated mutations: a hallmark of phenotypic amino acid substitutions.
PLoS Comput Biol. 2010 Sep 16;6(9):e1000923. doi: 10.1371/journal.pcbi.1000923.
10
A novel method for estimating ancestral amino acid composition and its application to proteins of the Last Universal Ancestor.
Bioinformatics. 2004 Sep 22;20(14):2251-7. doi: 10.1093/bioinformatics/bth235. Epub 2004 Apr 8.

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The effectiveness of selection in a species affects the direction of amino acid frequency evolution.
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Universal and taxon-specific trends in protein sequences as a function of age.
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Redox Regulation Glutaredoxin-1 and Protein -Glutathionylation.
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Why do eukaryotic proteins contain more intrinsically disordered regions?
PLoS Comput Biol. 2019 Jul 22;15(7):e1007186. doi: 10.1371/journal.pcbi.1007186. eCollection 2019 Jul.
6
Evaluation of Ancestral Sequence Reconstruction Methods to Infer Nonstationary Patterns of Nucleotide Substitution.
Genetics. 2015 Jul;200(3):873-90. doi: 10.1534/genetics.115.177386. Epub 2015 May 6.
7
A universal trend among proteomes indicates an oily last common ancestor.
PLoS Comput Biol. 2012;8(12):e1002839. doi: 10.1371/journal.pcbi.1002839. Epub 2012 Dec 27.
8
Sequence space and the ongoing expansion of the protein universe.
Nature. 2010 Jun 17;465(7300):922-6. doi: 10.1038/nature09105. Epub 2010 May 19.
9
Evidence from glycine transfer RNA of a frozen accident at the dawn of the genetic code.
Biol Direct. 2008 Dec 17;3:53. doi: 10.1186/1745-6150-3-53.

本文引用的文献

1
Apparent trends of amino Acid gain and loss in protein evolution due to nearly neutral variation.
Mol Biol Evol. 2006 Feb;23(2):240-4. doi: 10.1093/molbev/msj026. Epub 2005 Sep 29.
2
A universal trend of amino acid gain and loss in protein evolution.
Nature. 2005 Feb 10;433(7026):633-8. doi: 10.1038/nature03306. Epub 2005 Jan 19.
3
Ancestral sequence reconstruction in primate mitochondrial DNA: compositional bias and effect on functional inference.
Mol Biol Evol. 2004 Oct;21(10):1871-83. doi: 10.1093/molbev/msh198. Epub 2004 Jun 30.
4
Eigenvalue analysis of amino acid substitution matrices reveals a sharp transition of the mode of sequence conservation in proteins.
Bioinformatics. 2004 Nov 1;20(16):2504-8. doi: 10.1093/bioinformatics/bth297. Epub 2004 May 6.
6
Assessing an unknown evolutionary process: effect of increasing site-specific knowledge through taxon addition.
Mol Biol Evol. 2000 Dec;17(12):1854-8. doi: 10.1093/oxfordjournals.molbev.a026286.
7
A case for evolutionary genomics and the comprehensive examination of sequence biodiversity.
Mol Biol Evol. 2000 Dec;17(12):1776-88. doi: 10.1093/oxfordjournals.molbev.a026278.
8
Modeling evolution at the protein level using an adjustable amino acid fitness model.
Pac Symp Biocomput. 2000:18-29. doi: 10.1142/9789814447331_0003.
10
PAML: a program package for phylogenetic analysis by maximum likelihood.
Comput Appl Biosci. 1997 Oct;13(5):555-6. doi: 10.1093/bioinformatics/13.5.555.

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