MyJournals Home  

RSS FeedsIdentification of universal selectivity-determining positions in cytochrome P450 monooxygenases by systematic sequence-based literature mining (Proteins: Structure, Function, and Bioinformatics)

 
 

29 may 2015 19:23:09

 
Identification of universal selectivity-determining positions in cytochrome P450 monooxygenases by systematic sequence-based literature mining (Proteins: Structure, Function, and Bioinformatics)
 


Cytochrome P450 monooxygenases (CYPs) are a large, highly diverse protein family with a common fold. The sequences, structures, and functions of CYPs have been extensively studied resulting in more than 53000 scientific articles. A sequence-based literature mining algorithm was designed to systematically analyze this wealth of information on SNPs, designed mutations, structural interactions, or functional roles of individual residues. Structurally corresponding positions in different CYPs were compared and universal selectivity-determining positions were identified. Based on the Cytochrome P450 Engineering Database (www.CYPED.BioCatNet.de) and a standard numbering scheme for all CYPs, 4000 residues in 168 CYPs mentioned in 2400 articles could be assigned to 440 structurally corresponding standard positions of the CYP fold, covering 96% of all standard positions. 17 individual standard positions were mentioned in the context of more than 32 different CYPs. The majority of these most frequently mentioned positions are located on the six substrate recognition sites and are involved in control of selectivity, such as the well-studied position 87 in CYP102A1 (P450BM-3) which was mentioned in the articles on 63 different CYPs. The recurrent citation of the 17 frequently mentioned positions for different CYPs suggests their universal functional relevance. This article is protected by copyright. All rights reserved.


 
114 viewsCategory: Biochemistry, Bioinformatics
 
Molecular dynamics study on folding and allostery in RfaH (Proteins: Structure, Function, and Bioinformatics)
Structural Genomics for Drug Design against the Pathogen Coxiella burnetii (Proteins: Structure, Function, and Bioinformatics)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Bioinformatics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten