A biased random key genetic algorithm for the protein–ligand docking problem

Author:

Leonhart Pablo Felipe,Spieler Eduardo,Ligabue-Braun Rodrigo,Dorn MarcioORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Microsoft Research

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Alexander von Humboldt-Stiftung

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference61 articles.

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2. Atilgan E, Hu J (2010) Efficient protein-ligand docking using sustainable evolutionary algorithms. In: 2010 10th international conference on hybrid intelligent systems (HIS), pp 113–118

3. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodol) 57(1):289–300

4. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE (2000) The protein data bank. Nucleic Acids Res 28(1):235–242

5. Blum C, Roli A (2003) Metaheuristics in combinatorial optimization: overview and conceptual comparison. Comput Surv 35:268–308

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