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For: de Ruyck J, Brysbaert G, Blossey R, Lensink MF. Molecular docking as a popular tool in drug design, an in silico travel. Adv Appl Bioinform Chem 2016;9:1-11. [PMID: 27390530 PMCID: PMC4930227 DOI: 10.2147/aabc.s105289] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]  Open
Number Cited by Other Article(s)
101
Roy N, Nazeem PA, Babu TD, Abida PS, Narayanankutty A, Valsalan R, Valsala PA, Raghavamenon AC. EGFR gene regulation in colorectal cancer cells by garlic phytocompounds with special emphasis on S-Allyl-L-Cysteine Sulfoxide. Interdiscip Sci 2017;10:686-693. [PMID: 28349439 DOI: 10.1007/s12539-017-0227-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 11/11/2016] [Accepted: 03/14/2017] [Indexed: 12/14/2022]
102
Qi YJ, Lu HN, Zhao YM, Jin NZ. Probing the influence of carboxyalkyl groups on the molecular flexibility and the charge density of apigenin derivatives. J Mol Model 2017;23:70. [PMID: 28197841 DOI: 10.1007/s00894-017-3221-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 01/11/2017] [Indexed: 12/11/2022]
103
Ogungbe IV, Setzer WN. The Potential of Secondary Metabolites from Plants as Drugs or Leads against Protozoan Neglected Diseases-Part III: In-Silico Molecular Docking Investigations. Molecules 2016;21:E1389. [PMID: 27775577 PMCID: PMC6274513 DOI: 10.3390/molecules21101389] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 10/06/2016] [Accepted: 10/12/2016] [Indexed: 12/11/2022]  Open
104
Zhang H, Yin C, Yan H, van der Spoel D. Evaluation of Generalized Born Models for Large Scale Affinity Prediction of Cyclodextrin Host–Guest Complexes. J Chem Inf Model 2016;56:2080-2092. [DOI: 10.1021/acs.jcim.6b00418] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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