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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Biochemical Geneticsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Biochemical Genetics
Article . 1969 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Locating gaps in amino acid sequences to optimize the homology between two proteins

Authors: W M, Fitch;

Locating gaps in amino acid sequences to optimize the homology between two proteins

Abstract

A method for optimally locating gaps in the amino acid sequences of homologous proteins is presented. The method involves three steps: (1) demonstration that the sequences are indeed homologous, (2) location of regions where the homologous pairing is reasonably certain, and (3) location of gaps between these regions so as to minimize the total number of mutations required to account for the differences between the two sequences. The major virtues of this procedure are that the assertion of homology does not depend upon the prior introduction of gaps and that a genetic rather than a chemical test is the basis for asserting a genetic relationship.

Related Organizations
Keywords

Genetic Code, Mutation, Methods, Trypsinogen, Chymotrypsin, Amino Acid Sequence, Biological Evolution, Molecular Biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 0.1%
Top 10%
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