MyJournals Home  

RSS FeedsAssessment of fully automated antibody homology modeling protocols in MOE (Proteins: Structure, Function, and Bioinformatics)

 
 

9 april 2014 07:31:52

 
Assessment of fully automated antibody homology modeling protocols in MOE (Proteins: Structure, Function, and Bioinformatics)
 


The success of antibody-based drugs has led to an increased demand for predictive computational tools to assist antibody engineering efforts surrounding the six hypervariable loop regions making up the antigen binding site. Accurate computational modeling of isolated protein loop regions can be quite difficult; consequently, modeling an antigen binding site that includes six loops is particularly challenging. In this work, we present a method for automatic modeling of the FV region of an immunoglobulin based upon the use of a precompiled antibody x-ray structure database, which serves as a source of framework and hypervariable region structural templates, which are grafted together. We applied this method (on common desktop hardware) to the Second Antibody Modeling Assessment (AMA-II) target structures as well as an experimental specialized CDR-H3 loop modeling method. The results of the computational structure predictions will be presented and discussed. © Proteins 2014;. © 2014 Wiley Periodicals, Inc.


 
109 viewsCategory: Biochemistry, Bioinformatics
 
Phenotypic comparisons of consensus variants versus laboratory resurrections of Precambrian proteins (Proteins: Structure, Function, and Bioinformatics)
Detecting protein atom correlations using correlation of probability of recurrence (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