Journal ArticleDOI
A knowledge-based architecture for protein sequence analysis and structure prediction
Reads0
Chats0
TLDR
Although developed specifically for applications in protein structure prediction, the network architecture provides a strategy for tackling the general problem of orchestrating and integrating the diverse sources of knowledge that are characteristic of many areas of science.About:
This article is published in Journal of Molecular Graphics.The article was published on 1990-05-01. It has received 21 citations till now. The article focuses on the topics: Knowledge extraction & Open Knowledge Base Connectivity.read more
Citations
More filters
Proceedings Article
Artificial intelligence and molecular biology
TL;DR: This article provides a description of much of the work presented at a AAAI sponsored symposium on molecular biology, and fills in the basic biology background necessary to place it in context.
Journal ArticleDOI
New approaches in molecular structure prediction.
TL;DR: The prediction of the structure, function, and other properties of a protein is still possible only within limits, but these limits continue to be moved.
Book
Integrating AI with sequence analysis
TL;DR: This chapter will discuss one example of how AI techniques are being integrated with, and extending, existing molecular biology sequence analysis methods, based on information inferred solely from protein primary (amino acid) sequences.
Molecular Scene Analysis: Crystal Structure Determination Through Imagery
TL;DR: This chapter describes the design of a prototype knowledge-based system for crystal and molecular structure determination from diffraction data that enhances current methods for the determination and interpretation of protein structures by incorporating direct methods probabilistic strategies, experience accumulated in the crystallographic databases, and knowledge representation and reasoning techniques for machine imagery.
Journal ArticleDOI
The protein structure code: what is its present status?
Jean Garnier,Jonathan Levin +1 more
TL;DR: The method based on sequence similarity can improve the accuracy of prediction by expressing explicitly the homology of the protein to be predicted with proteins in the database, and can be used for modeling homologous proteins by aiding in amino acid sequence alignments.
References
More filters
Journal ArticleDOI
Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteins.
TL;DR: The algorithm is shown to be at least as good as, and usually superior to, the reported prediction methods assessed in the same way and the implication in protein folding is discussed.
Book ChapterDOI
Negation as failure
TL;DR: It is shown that when the clause data base and the queries satisfy certain constraints, which still leaves us with a data base more general than a conventional relational data base, the query evaluation process will find every answer that is a logical consequence of the completed data base.
Journal ArticleDOI
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
TL;DR: The characteristics of the speech problem in particular, the special kinds of problem-solving uncertainty in that domain, the structure of the Hearsay-II system developed to cope with that uncertainty, and the relationship between Hearsey-II's structure and those of other speech-understanding systems are discussed.
Journal ArticleDOI
Knowledge-based prediction of protein structures and the design of novel molecules.
TL;DR: Prediction of the tertiary structures of proteins may be carried out using a knowledge-based approach based on identification of analogies in secondary structures, motifs, domains or ligand interactions between a protein to be modelled and those of known three-dimensional structures.