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Title: Genetic algorithms and the immune system

Using genetic algorithm techniques we introduce a model to examine the hypothesis that antibody and T cell receptor genes evolved so as to encode the information needed to recognize schemas that characterize common pathogens. We have implemented the algorithm on the Connection Machine for 16,384 64-bit antigens and 512 64-bit antibodies. 8 refs.
Authors:
 [1] ;  [2]
  1. (New Mexico Univ., Albuquerque, NM (USA). Dept. of Computer Science)
  2. (Los Alamos National Lab., NM (USA))
Publication Date:
OSTI Identifier:
6321251
Report Number(s):
LA-UR-90-4251; CONF-9010288--1
ON: DE91005878; CNN: AI28433
DOE Contract Number:
W-7405-ENG-36
Resource Type:
Conference
Resource Relation:
Conference: Workshop on parallel problem solving from nature, Dortmund (Germany, F.R.), Oct 1990
Research Org:
Los Alamos National Lab., NM (USA)
Sponsoring Org:
DOHHS
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; ANTIBODIES; RECEPTORS; LYMPHOCYTES; GENES; RETICULOENDOTHELIAL SYSTEM; MATHEMATICAL MODELS; ALGORITHMS; ANTIGENS; BIOLOGICAL EVOLUTION; PATHOGENS; ANIMAL CELLS; ANIMAL TISSUES; BIOLOGICAL MATERIALS; BLOOD; BLOOD CELLS; BODY; BODY FLUIDS; CONNECTIVE TISSUE CELLS; LEUKOCYTES; MATERIALS; MATHEMATICAL LOGIC; MEMBRANE PROTEINS; ORGANIC COMPOUNDS; PROTEINS; SOMATIC CELLS; TISSUES 551000* -- Physiological Systems