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The parallel genetic algorithm for designing dna randomizations in a combinatorial protein experiment

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dc.contributor.coauthorBlazewicz, Jacek
dc.contributor.coauthorDziurdza, Beniamin
dc.contributor.coauthorMarkiewicz, Wojciech T
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorOğuz, Ceyda
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:35:02Z
dc.date.issued2006
dc.description.abstractEvolutionary methods of protein engineering such as phage display have revolutionized drug design and the means of studying molecular binding. In order to obtain the highest experimental efficiency, the distributions of constructed combinatorial libraries should be carefully adjusted. The presented approach takes into account diversity- completeness trade-off and tries to maximize the number of new amino acid sequences generated in each cycle of the experiment. In the paper, the mathematical model is introduced and the parallel genetic algorithm for the defined optimization problem is described. Its implementation on the SunFire 6800 computer proves a high efficiency of the proposed approach.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume3911
dc.identifier.eissn1611-3349
dc.identifier.isbn3-540-34141-2
dc.identifier.issn0302-9743
dc.identifier.quartileQ4
dc.identifier.scopus2-s2.0-33745799854
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12457
dc.identifier.wos238107100133
dc.keywordsDiversity
dc.language.isoeng
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofParallel Processing and Applied Mathematics
dc.subjectComputer Science
dc.subjectArtificial Intelligence
dc.subjectComputer Science
dc.subjectMathematics
dc.subjectApplied mathematics
dc.titleThe parallel genetic algorithm for designing dna randomizations in a combinatorial protein experiment
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorOğuz, Ceyda
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Industrial Engineering
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