Observations of amino acid gain and loss during protein evolution are explained by statistical bias. (Q34147924)

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21 January 2020

title

Observations of amino acid gain and loss during protein evolution are explained by statistical bias (English)

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21 January 2020

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2

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21 January 2020

Richard A. Goldstein

series ordinal

1

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21 January 2020

author name string

Richard A Goldstein

series ordinal

1

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PubMed publication ID

16698770

31 July 2017

publication date

11 May 2006

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Molecular Biology and Evolution

21 January 2020

published in

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21 January 2020

volume

23

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21 January 2020

issue

7

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21 January 2020

page(s)

1444-1449

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Ancestral sequence reconstruction in primate mitochondrial DNA: compositional bias and effect on functional inference.

21 January 2020

cites work

1 reference

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Assessing an unknown evolutionary process: effect of increasing site-specific knowledge through taxon addition.

5 July 2018

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A case for evolutionary genomics and the comprehensive examination of sequence biodiversity.

5 July 2018

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5 July 2018

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5 July 2018

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Use of amino acid environment-dependent substitution tables and conformational propensities in structure prediction from aligned sequences of homologous proteins. II. Secondary structures.

5 July 2018

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A codon-based model of nucleotide substitution for protein-coding DNA sequences

5 July 2018

1 reference

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The rapid generation of mutation data matrices from protein sequences

5 July 2018

1 reference

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Environment-specific amino acid substitution tables: tertiary templates and prediction of protein folds

5 July 2018

1 reference

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Apparent trends of amino Acid gain and loss in protein evolution due to nearly neutral variation

5 July 2018

1 reference

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Eigenvalue analysis of amino acid substitution matrices reveals a sharp transition of the mode of sequence conservation in proteins

28 October 2018

1 reference

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Dimerization in Aminergic G-Protein-Coupled Receptors: Application of a Hidden-Site Class Model of Evolution†

28 October 2018

1 reference

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Modeling evolution at the protein level using an adjustable amino acid fitness model

28 October 2018

1 reference

12 December 2020

Modeling residue usage in aligned protein sequences via maximum likelihood

1 reference

12 December 2020

Models of natural mutations including site heterogeneity

1 reference

12 December 2020

A universal trend of amino acid gain and loss in protein evolution

1 reference

12 December 2020

Identifiers

DOI

10.1093/MOLBEV/MSL010

1 reference

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21 January 2020

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21 January 2020

PubMed publication ID

16698770

1 reference