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PMID: 11180592 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. Review

Use of mutation spectra analysis software.

Human mutation ·Vol. 17 ·No. 2 ·2001-02-00 ·Pages 83-102

Rogozin I, Kondrashov F, Glazko G

Abstract

The study and comparison of mutation(al) spectra is an important problem in molecular biology, because these spectra often reflect on important features of mutations and their fixation. Such features include the interaction of DNA with various mutagens, the function of repair/replication enzymes, and properties of target proteins. It is known that mutability varies significantly along nucleotide sequences, such that mutations often concentrate at certain positions, called "hotspots," in a sequence. In this paper, we discuss in detail two approaches for mutation spectra analysis: the comparison of mutation spectra with a HG-PUBL program, (FTP: sunsite.unc.edu/pub/academic/biology/dna-mutations/hyperg) and hotspot prediction with the CLUSTERM program (www.itba.mi.cnr.it/webmutation; ftp.bionet.nsc.ru/pub/biology/dbms/clusterm.zip). Several other approaches for mutational spectra analysis, such as the analysis of a target protein structure, hotspot context revealing, multiple spectra comparisons, as well as a number of mutation databases are briefly described. Mutation spectra in the lacI gene of E. coli and the human p53 gene are used for illustration of various difficulties of such analysis.

MeSH Terms
Amino Acid Sequence Animals Base Sequence DNA Mutational Analysis/methods Humans Molecular Sequence Data Mutation Sequence Homology, Amino Acid Sequence Homology, Nucleic Acid Software Tumor Suppressor Protein p53/genetics
Chemicals
Tumor Suppressor Protein p53
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Rogozin I
Institute of Cytology and Genetics, Russian Academy of Sciences, Novosibirsk, Russia. [email protected]
Kondrashov F
Glazko G
Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2001-02-00
Pages
83-102
Language
English
Region
United States
NLM ID
9215429
Subset
IM
Grants
NIGMS NIH HHS · GM 20293 · United States
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