Protein evolution constraints and model-based techniques to study them.

Protein evolution constraints and model-based techniques to study them. Research Abstract Details 

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Protein evolution constraints and model-based techniques to study them. Abstract Text:

Jeffrey L Thorne,

There have been substantial improvements in statistical tools for assessing the evolutionary roles of mutation and natural selection from interspecific sequence data. The importance of having the rate at which a point mutation occurs depend on the DNA sequence at sites surrounding the mutation is now better appreciated and can be accommodated in probabilistic models of protein evolution. To quantify the evolutionary impact of some aspect of phenotype, one promising strategy is to develop a system for predicting phenotype from the DNA sequence and to then infer how the evolutionary rates of sequence change are affected by the predicted phenotypic consequences of the changes. Although statistical tools for characterizing protein evolution are improving, the list of candidate phenomena that can affect rates of protein evolution is long and the relative contributions of these phenomena are only beginning to be disentangled.

Protein evolution constraints and model-based techniques to study them. Publishing Authors By Initials

JL Thorne,

For similar proteins research abstracts see: proteins research

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Protein evolution constraints and model-based techniques to study them. Journal Published:

PUBLICATION TYPE: Review

Journal: Current opinion in structural biology

VOLUME: 17

Page Numbers: 337-41

Journal Abbreviation: Curr. Opin. Struct. Biol.

ISSN: 0959-440X

DAY: 14

MONTH: 06

YEAR: 2007

Protein evolution constraints and model-based techniques to study them. Information

Number of References: 52

LANGUAGE: eng

NlmUniqueID: 9107784

Protein evolution constraints and model-based techniques to study them. Keywords Mesh Terms:

KEYWORDS: Proteins

MESH TERMS: genetics

Chemical & Substance for Abstract: Protein evolution constraints and model-based techniques to study them. Information

Substance Name: Proteins

Registry Number: 0

Grant and Affiliation Information for Protein evolution constraints and model-based techniques to study them.

AFFILIATION: Wissenschaftskolleg zu Berlin, Wallotstrasse 19, 14193 Berlin, Germany. thorne@statgen.ncsu.edu

Country: England

AGENCY: United States NIGMS

GRANT: GM070806

ACRONYM: GM

MEDLINETA: Curr Opin Struct Biol

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