SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Human & Experimental Toxicology
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Wu, G
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wu, G
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Frequency and Markov chain analysis of amino acid sequences of mouse p53

G Wu

Laboratory of Toxicokinetics and Pharmacokinetics, Faculty of Pharmacy, University of Mediterranean, Marseilles, France

The amino acid sequence of mouse p53 was measured according to two-and three-amino-acid sequences. The measured frequency and probability were compared with predicted frequency and probability. Of 389 two-amino-acidsequencesinmousep53,85 (21.851%) and27 (6.941%) sequences can be explained by the predicted frequency and probability accordingto a purely random mechanism. Of 188 non-appearing two-amino-acid sequences in mouse p53, 86 (45.745%) and 32 (17.021%) can be explained by the predicted frequency and probability according to a purely random mechanism; no more than two-amino-acid sequences inmousep53 canbe explained by a purelyrandom mechanism.

Key Words: amino acid sequence • mouse p53 • Markov chain • probability

Human & Experimental Toxicology, Vol. 19, No. 9, 535-539 (2000)
DOI: 10.1191/096032700670531579
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?




Advertisement