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For: Khaji E, Karami M, Garkani-Nejad Z. 3D protein structure prediction using Imperialist Competitive algorithm and half sphere exposure prediction. J Theor Biol 2016;391:81-7. [PMID: 26718864 DOI: 10.1016/j.jtbi.2015.12.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2015] [Revised: 11/22/2015] [Accepted: 12/01/2015] [Indexed: 11/23/2022]
Number Cited by Other Article(s)
1
Nikkhah V, Babamir SM, Arab SS. Estimating Bifurcating Consensus Phylogenetic Trees Using Evolutionary Imperialist Competitive Algorithm. Curr Bioinform 2019. [DOI: 10.2174/1574893614666190225145620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
2
Morshedian A, Razmara J, Lotfi S. A novel approach for protein structure prediction based on an estimation of distribution algorithm. Soft comput 2018. [DOI: 10.1007/s00500-018-3130-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
3
Yan R, Wang X, Xu W, Cai W, Lin J, Li J, Song J. A neural network learning approach for improving the prediction of residue depth based on sequence-derived features. RSC Adv 2016. [DOI: 10.1039/c6ra12275b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]  Open
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