A Software Pipeline for Protein Structure Prediction

reportActive / Technical Report | Accession Number: ADA481268 | Open PDF

Abstract:

We have developed a software suite to predict protein structures from sequence through the integration of multiple noncommercial programs. The Army and DoD medical and scientific communities will be able to use this software to annotate structures of sequenced pathogenic and host genomes. Such structural predictions can be used in therapeutic and vaccine design as well as many areas of basic biological research. In this work, initial assessments of the software are made. Most importantly, these tests include evaluation of the quality of predicted structural models as a function of sequence similarity to known protein structures. The presentation includes 16 briefing charts.

Author(s):
Lee, Michael S. ; Yeh, In-chul ; Zavaljevski, Nela ; Wilson, Paul ; Reifman, Jaques
Author Organization(s):
ARMY MEDICAL RESEARCH INST OF INFECTIOUS DISEASES FORT DETRICK MD
Descriptive Note:
Conference paper
Supplementary Note:
Prepared in collaboration with the DoD Biotechnology High Performance Computing Software Applications Institute, Frederick, MD. See also ADM002075. Presented at the Army Science Conference (25th), "Transformational Army Science and Technology - Charting the future of S&T for the Soldier," held in Orlando, Florida on 27-30 Nov 2006. Published in proceedings of the same. The original document contains color images.
Pagination:
0025

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
DOD/HPCMP
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_1.2.5_Lessons Learned
Modernization Areas:
Quantum Science and Computing
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*COMPUTER PROGRAMS, *PREDICTIONS, *MOLECULAR STRUCTURE, *PROTEINS, MEDICAL RESEARCH, GENOME, SYMPOSIA, ALGORITHMS
Field(s)/Group(s):
Biochemistry, Genetic Engineering and Molecular Biology, Computer Programming and Software
Keyword(s):
*PROTEIN STRUCTURE PREDICTION, BRIEFING CHARTS, SEQUENCE HOMOLOGY, PROTEIN MODELS, FOLD RECOGNITION ALGORITHMS, DE NOVO ALGORITHMS, DOMAIN BOUNDARY PREDICTIONS, TEMPLATE BASED MODELS
Report Date:
2006 Nov 01
Creation Date:
2008 Jun 04