A computer system for analysis and integrated description of regulation of the molecular-genetic system of interferon induction and action

A new theoretical approach to elaboration of an information-analytical integrated knowledge base containing data on regulation and function of biological systems is presented. The knowledge base incorporates. (i) a reference database containing experitnental data on the structural-functional organiz...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics Vol. 11; no. 2; pp. 213 - 218
Main Authors Belova, Olga E., Likhoshvai, Vitaly A., Bazhan, Sergey I., Kulichkov, Vladimir A.
Format Journal Article
LanguageEnglish
Russian
Published Washington, DC Oxford University Press 01.04.1995
Oxford
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A new theoretical approach to elaboration of an information-analytical integrated knowledge base containing data on regulation and function of biological systems is presented. The knowledge base incorporates. (i) a reference database containing experitnental data on the structural-functional organization of a biological system; (ii) a dynamic mathematical model for analysis of the evolution of the system over time; and (iii) an interpretation module of simulation results. Application of this approach to theo retical investigation of the interferon system in the case of viral infection is discussed. The approach is specific in that it uses mathematical modeling technology, which allows one to generate mathematical models of different degrees of complexity in the analysis of the diverse aspects of biological system behavior. This approach allows one not only to store and to treat available experimental data, but also to acquire new knowledge about the behavior of a biological system. The proposed approach is implemented as a computer system for the IBM PC and compatibles.
Bibliography:ark:/67375/HXZ-2GDXHDC8-Q
ArticleID:11.2.213
istex:4AEE4F60C550766EF23962BF2B1681C724013C97
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:1367-4803
0266-7061
1460-2059
DOI:10.1093/bioinformatics/11.2.213