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Volumn 4, Issue , 2003, Pages 2338-2345

Study of fitness landscapes for the HP model of protein structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE;

EID: 84859456405     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299380     Document Type: Conference Paper
Times cited : (16)

References (23)
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    • Protein structure prediction as a hard optimization problem: The genetic algorithm approach
    • M. Khimasia and P. Coveney. Protein structure prediction as a hard optimization problem: the genetic algorithm approach. In Molecular Simulation, vol 19. 205-226. 1997.
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    • Khimasia, M.1    Coveney, P.2
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    • Genetic algorithms for protein tertiary structure prediction
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    • Genetic algorithms for protein tertiary structure prediction
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    • Schulze-Kremer, S.1
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    • EE 382C. Fall
    • B. Vaidyanathan. Comparison of various approaches to solving Traveling Salesman Problem. Symbolic Representations and Reasoning. EE 382C. Fall 1998.
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    • Vaidyanathan, B.1
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    • The roles of mutation inbreeding, crossbreeding and selection in evolution
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    • Wright, S.1
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    • An examination of tunable, Random search landscapes
    • Banzhaf & Reeves editors, Morgan Kauflman. 1999
    • R. E. Smith and J. E. Smith. An Examination of Tunable, Random Search Landscapes. In Banzhaf & Reeves (editors) "Foundations of Genetic Algorithms 5", 165-182. Morgan Kauflman. 1999.
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    • Can a pairwise contact potential stabilize native protein folds against decoys obtained by threading?
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.