Medina-Franco JL - Search Results

1

Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds.

Bajorath J, Chávez-Hernández AL, Duran-Frigola M, Fernández-de Gortari E, Gasteiger J, López-López E, Maggiora GM, Medina-Franco JL, Méndez-Lucio O, Mestres J, Miranda-Quintana RA, Oprea TI, Plisson F, Prieto-Martínez FD, Rodríguez-Pérez R, Rondón-Villarreal P, Saldívar-Gonzalez FI, Sánchez-Cruz N, Valli M. Bajorath J, et al. J Cheminform. 2022 Dec 2;14(1):82. doi: 10.1186/s13321-022-00661-0. J Cheminform. 2022. PMID: 36461094 Free PMC article.

2

Hierarchical strategy for identifying active chemotype classes in compound databases.

Medina-Franco JL, Petit J, Maggiora GM. Medina-Franco JL, et al. Chem Biol Drug Des. 2006 Jun;67(6):395-408. doi: 10.1111/j.1747-0285.2006.00397.x. Chem Biol Drug Des. 2006. PMID: 16882314

3

Large compound databases for structure-activity relationships studies in drug discovery.

Scior T, Bernard P, Medina-Franco JL, Maggiora GM. Scior T, et al. Mini Rev Med Chem. 2007 Aug;7(8):851-60. doi: 10.2174/138955707781387858. Mini Rev Med Chem. 2007. PMID: 17692047 Review.

4

Ivermectin as an inhibitor of cancer stem‑like cells.

Dominguez-Gomez G, Chavez-Blanco A, Medina-Franco JL, Saldivar-Gonzalez F, Flores-Torrontegui Y, Juarez M, Díaz-Chávez J, Gonzalez-Fierro A, Dueñas-González A. Dominguez-Gomez G, et al. Mol Med Rep. 2018 Feb;17(2):3397-3403. doi: 10.3892/mmr.2017.8231. Epub 2017 Dec 8. Mol Med Rep. 2018. PMID: 29257278

5

A critical overview of computational approaches employed for COVID-19 drug discovery.

Muratov EN , Amaro R , Andrade CH , Brown N , Ekins S , Fourches D , Isayev O , Kozakov D , Medina-Franco JL , Merz KM , Oprea TI , Poroikov V , Schneider G , Todd MH , Varnek A , Winkler DA , Zakharov AV , Cherkasov A , Tropsha A . Muratov EN , et al. Chem Soc Rev. 2021 Aug 21;50(16):9121-9151. doi: 10.1039/d0cs01065k. Epub 2021 Jul 2. Chem Soc Rev. 2021. PMID: 34212944 Free PMC article. Review.

6

Pyridin-2(1H)-ones: a promising class of HIV-1 non-nucleoside reverse transcriptase inhibitors.

Medina-Franco JL, Martínez-Mayorga K, Juárez-Gordiano C, Castillo R. Medina-Franco JL, et al. ChemMedChem. 2007 Aug;2(8):1141-7. doi: 10.1002/cmdc.200700054. ChemMedChem. 2007. PMID: 17477343 Review. No abstract available.

7

Quantitative structure-activity relationship analysis of pyridinone HIV-1 reverse transcriptase inhibitors using the k nearest neighbor method and QSAR-based database mining.

Medina-Franco JL, Golbraikh A, Oloff S, Castillo R, Tropsha A. Medina-Franco JL, et al. J Comput Aided Mol Des. 2005 Apr;19(4):229-42. doi: 10.1007/s10822-005-4789-8. J Comput Aided Mol Des. 2005. PMID: 16163450

8

Ribavirin as a tri-targeted antitumor repositioned drug.

De la Cruz-Hernandez E, Medina-Franco JL, Trujillo J, Chavez-Blanco A, Dominguez-Gomez G, Perez-Cardenas E, Gonzalez-Fierro A, Taja-Chayeb L, Dueñas-Gonzalez A. De la Cruz-Hernandez E, et al. Oncol Rep. 2015 May;33(5):2384-92. doi: 10.3892/or.2015.3816. Epub 2015 Feb 25. Oncol Rep. 2015. PMID: 25738706

9

Flexible docking of pyridinone derivatives into the non-nucleoside inhibitor binding site of HIV-1 reverse transcriptase.

Medina-Franco JL, Rodríguez-Morales S, Juárez-Gordiano C, Hernández-Campos A, Jiménez-Barbero J, Castillo R. Medina-Franco JL, et al. Bioorg Med Chem. 2004 Dec 1;12(23):6085-95. doi: 10.1016/j.bmc.2004.09.008. Bioorg Med Chem. 2004. PMID: 15519154

10

Docking-based CoMFA and CoMSIA studies of non-nucleoside reverse transcriptase inhibitors of the pyridinone derivative type.

Medina-Franco JL, Rodríguez-Morales S, Juárez-Gordiano C, Hernández-Campos A, Castillo R. Medina-Franco JL, et al. J Comput Aided Mol Des. 2004 May;18(5):345-60. doi: 10.1023/b:jcam.0000047816.15514.ab. J Comput Aided Mol Des. 2004. PMID: 15595461

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