Abstract
A variety of methods are employed to model protein structures using multiple templates because they potentially provide more information than does the use of a single template. However, there has been little consensus on how best to use this added information, and not even a consensus that using multiple templates is always helpful. In this work we examine alternatives for integrating information from multiple templates and perform a systematic study to determine how using multiple templates affects model quality. Our data indicate that current methods appropriately weight the better template approximately 65% of the time, and that significant improvements are possible by using statistical potentials derived from a database of known structures to weight the contribution of each template to the final model structure. Funding: Burroughs-Wellcome Predoctoral Fellowship and P01 GM071790
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
