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For: Fernández M, Caballero J. QSAR models for predicting the activity of non-peptide luteinizing hormone-releasing hormone (LHRH) antagonists derived from erythromycin A using quantum chemical properties. J Mol Model 2007;13:465-76. [PMID: 17216287 DOI: 10.1007/s00894-006-0163-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2006] [Accepted: 10/17/2006] [Indexed: 01/28/2023]
Number Cited by Other Article(s)
1
Ranjan P, Athar M, Vijayakrishna K, Meena LK, Vasita R, Jha PC. Deciphering the anthelmintic activity of benzimidazolium salts by experimental and in-silico studies. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.07.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
2
Martínez-Archundia M, Colín-Astudillo B, Moreno-Vargas LM, Ramírez-Galicia G, Garduño-Juárez R, Deeb O, Contreras-Romo MC, Quintanar-Stephano A, Abarca-Rojano E, Correa-Basurto J. Ligand recognition properties of the vasopressin V2 receptor studied under QSAR and molecular modeling strategies. Chem Biol Drug Des 2017;90:840-853. [DOI: 10.1111/cbdd.13005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 04/06/2017] [Accepted: 04/08/2017] [Indexed: 11/28/2022]
3
Poisot M, Gutiérrez-Ponce MJS, Ramírez-Galicia G. QSRR Study of Substituted Phenol Compounds: Proposed Models for Inter-Column Comparison. Chromatographia 2016. [DOI: 10.1007/s10337-016-3093-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
4
Dent MP, Carmichael PL, Jones KC, Martin FL. Towards a non-animal risk assessment for anti-androgenic effects in humans. ENVIRONMENT INTERNATIONAL 2015;83:94-106. [PMID: 26115536 DOI: 10.1016/j.envint.2015.06.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 06/11/2015] [Accepted: 06/12/2015] [Indexed: 06/04/2023]
5
Contreras-Romo MC, Martínez-Archundia M, Deeb O, Slusarz MJ, Ramírez-Salinas G, Garduño-Juárez R, Quintanar-Stephano A, Ramírez-Galicia G, Correa-Basurto J. Exploring the ligand recognition properties of the human vasopressin V1a receptor using QSAR and molecular modeling studies. Chem Biol Drug Des 2014;83:207-223. [PMID: 24010681 DOI: 10.1111/cbdd.12229] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2013] [Revised: 07/08/2013] [Accepted: 08/12/2013] [Indexed: 01/03/2025]
6
Ramírez-Galicia G, Martínez-Pacheco H, Garduño-Juárez R, Deeb O. Exploring QSAR of antiamoebic agents of isolated natural products by MLR, ANN, and RTO. Med Chem Res 2011. [DOI: 10.1007/s00044-011-9767-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
7
Ramírez-Galicia G, Garduño-Juárez R, Correa-Basurto J, Deeb O. Exploring QSARs for inhibitory effect of a set of heterocyclic thrombin inhibitors by multilinear regression refined by artificial neural network and molecular docking simulations. J Enzyme Inhib Med Chem 2011;27:174-86. [PMID: 21635208 DOI: 10.3109/14756366.2011.582467] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]  Open
8
Fernandez M, Caballero J, Fernandez L, Sarai A. Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM). Mol Divers 2010;15:269-89. [PMID: 20306130 DOI: 10.1007/s11030-010-9234-9] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2009] [Accepted: 01/25/2010] [Indexed: 10/19/2022]
9
Fernández M, Fernández L, Caballero J, Abreu JI, Reyes G. Proteochemometric Modeling of the Inhibition Complexes of Matrix Metalloproteinases withN-Hydroxy-2-[(Phenylsulfonyl)Amino]Acetamide Derivatives Using Topological Autocorrelation Interaction Matrix and Model Ensemble Averaging. Chem Biol Drug Des 2008;72:65-78. [DOI: 10.1111/j.1747-0285.2008.00675.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
10
Ramírez-Galicia G, Garduño-Juárez R, Deeb O, Hemmateenejad B. MLR–ANN and RTO Approach to μ-opioid Receptor-binding Affinity. Pooling Data from Different Sources. Chem Biol Drug Des 2008;71:260-70. [DOI: 10.1111/j.1747-0285.2008.00626.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
11
Winkler DA. Network models in drug discovery and regenerative medicine. BIOTECHNOLOGY ANNUAL REVIEW 2008;14:143-70. [PMID: 18606362 DOI: 10.1016/s1387-2656(08)00005-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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