A Software Pipeline for Protein Structure Prediction

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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481268

Entities

People

  • In-Chul Yeh
  • Jaques Reifman
  • Michael S. Lee
  • Nela Zavaljevski
  • Paul Wilson

Organizations

  • United States Army Medical Research Institute of Infectious Diseases

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Application Software
  • Biomedical Research
  • Biotechnology
  • Computational Biology
  • Computational Science
  • Department Of Defense
  • High Performance Computing
  • Infectious Diseases
  • Military Research
  • Molecular Dynamics
  • Nucleic Acids
  • Recognition
  • Sequences
  • Systems Biology
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics
  • Technical Research and Report Writing.

Technology Areas

  • Biotechnology