Accession Number : ADA549150


Title :   An Integrated Docking Pipeline for the Prediction of Large-Scale Protein-Protein Interactions


Descriptive Note : Conference paper


Corporate Author : ARMY MEDICAL RESEARCH AND MATERIEL COMMAND FORT DETRICK MD


Personal Author(s) : Hu, Xin ; Lee, Michael ; Kumar, Kalam ; Wallqvist, Anders


Full Text : http://www.dtic.mil/dtic/tr/fulltext/u2/a549150.pdf


Report Date : Jun 2010


Pagination or Media Count : 6


Abstract : Knowledge of the three-dimensional (3D) structures of protein complexes provides a fundamental understanding of biological systems, as well as novel insights for antimicrobial drug and vaccine design. Protein-protein docking is used to predict the 3D structures of protein complexes from their components in silico. In this study, we developed a protein-protein docking pipeline (PPDP) that integrates a variety of state-of-the-art protein docking and structure prediction techniques, providing a systematic platform to predict large-scale protein-protein interactions (PPIs). The PPDP is deployed on high performance computing (HPC) clusters, thus enabling Department of Defense scientists to harness HPC resources to investigate the PPIs of biowarfare agents for the development of countermeasures. We applied the PPDP to investigate the binding interactions of Yersinia effector proteins with their chaperone and the underlying specificity of chaperone/effector interactions.


Descriptors :   *BIOLOGY , *DOCKING , *PROTEINS , ANTIMICROBIAL AGENTS , CLUSTERING , DEPLOYMENT , DRUGS , INTEGRATED SYSTEMS , INTERACTIONS , PIPELINES , PLATFORMS , PREDICTIONS , RESOURCES , SCIENTISTS , STATE OF THE ART , STRUCTURES , VACCINES


Subject Categories : Biochemistry


Distribution Statement : APPROVED FOR PUBLIC RELEASE