A Knowledge-Based System for the Interpretation of Protein X-Ray Crystallographic Data

Abstract

The broad goal of this project is to develop intelligent computational systems to infer the three-dimensional structures of proteins from x-ray crystallographic data. The computational systems under development use both formal and judgmental knowledge from experts to select appropriate procedures and to constrain the space of plausible protein structures. The hypothesis generating and testing procedures operate upon a variety of representations of the data, and work with several different descriptions of the structure being inferred. The system consists of a number of independent but cooperating knowledge sources which propose, augment and verify a solution to the problem as it is incrementally generated.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1977
Accession Number
ADA038866

Entities

People

  • H. P. Nii
  • Robert S. Engelmore

Organizations

  • Stanford University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Amino Acids
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Chemistry
  • Computer Science
  • Crystal Structure
  • Crystallography
  • Electron Density
  • Electrons
  • Elements
  • Identification
  • Knowledge Based Systems
  • Molecules
  • Surfaces
  • Three Dimensional
  • X Rays

Readers

  • Computational Linguistics
  • Molecular and Cellular Biochemistry
  • Software Engineering.

Technology Areas

  • AI & ML
  • Space