Marrero-Ponce Y - Search Results

1

Relational Agreement Measures for Similarity Searching of Cheminformatic Data Sets.

Rivera-Borroto OM, García-de la Vega JM, Marrero-Ponce Y, Grau R. Rivera-Borroto OM, et al. IEEE/ACM Trans Comput Biol Bioinform. 2016 Jan-Feb;13(1):158-67. doi: 10.1109/TCBB.2015.2424435. IEEE/ACM Trans Comput Biol Bioinform. 2016. PMID: 26886740

2

Applying pattern recognition methods plus quantum and physico-chemical molecular descriptors to analyze the anabolic activity of structurally diverse steroids.

Alvarez-Ginarte YM, Marrero-Ponce Y, Ruiz-García JA, Montero-Cabrera LA, García de la Vega JM, Noheda Marin P, Crespo-Otero R, Zaragoza FT, García-Domenech R. Alvarez-Ginarte YM, et al. J Comput Chem. 2008 Feb;29(3):317-33. doi: 10.1002/jcc.20745. J Comput Chem. 2008. PMID: 17639502

3

Bond-based linear indices in QSAR: computational discovery of novel anti-trichomonal compounds.

Marrero-Ponce Y, Meneses-Marcel A, Rivera-Borroto OM, García-Domenech R, De Julián-Ortiz JV, Montero A, Escario JA, Barrio AG, Pereira DM, Nogal JJ, Grau R, Torrens F, Vogel C, Arán VJ. Marrero-Ponce Y, et al. J Comput Aided Mol Des. 2008 Aug;22(8):523-40. doi: 10.1007/s10822-008-9171-1. Epub 2008 May 16. J Comput Aided Mol Des. 2008. PMID: 18483767

4

Chemometric and chemoinformatic analyses of anabolic and androgenic activities of testosterone and dihydrotestosterone analogues.

Alvarez-Ginarte YM, Crespo-Otero R, Marrero-Ponce Y, Noheda-Marin P, Garcia de la Vega JM, Montero-Cabrera LA, Ruiz García JA, Caldera-Luzardo JA, Alvarado YJ. Alvarez-Ginarte YM, et al. Bioorg Med Chem. 2008 Jun 15;16(12):6448-59. doi: 10.1016/j.bmc.2008.04.001. Epub 2008 Apr 7. Bioorg Med Chem. 2008. PMID: 18514531

5

New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors.

Meneses-Marcel A, Rivera-Borroto OM, Marrero-Ponce Y, Montero A, Machado Tugores Y, Escario JA, Gómez Barrio A, Montero Pereira D, Nogal JJ, Kouznetsov VV, Ochoa Puentes C, Bohórquez AR, Grau R, Torrens F, Ibarra-Velarde F, Arán VJ. Meneses-Marcel A, et al. J Biomol Screen. 2008 Sep;13(8):785-94. doi: 10.1177/1087057108323122. Epub 2008 Aug 27. J Biomol Screen. 2008. PMID: 18753687

6

Comparison of combinatorial clustering methods on pharmacological data sets represented by machine learning-selected real molecular descriptors.

Rivera-Borroto OM, Marrero-Ponce Y, García-de la Vega JM, Grau-Ábalo Rdel C. Rivera-Borroto OM, et al. J Chem Inf Model. 2011 Dec 27;51(12):3036-49. doi: 10.1021/ci2000083. Epub 2011 Dec 9. J Chem Inf Model. 2011. PMID: 22098113

7

Dunn's index for cluster tendency assessment of pharmacological data sets.

Rivera-Borroto OM, Rabassa-Gutiérrez M, Grau-Ábalo Rdel C, Marrero-Ponce Y, García-de la Vega JM. Rivera-Borroto OM, et al. Can J Physiol Pharmacol. 2012 Apr;90(4):425-33. doi: 10.1139/y2012-002. Epub 2012 Mar 23. Can J Physiol Pharmacol. 2012. PMID: 22443093

8

Integration of ligand and structure-based virtual screening for identification of leading anabolic steroids.

Alvarez-Ginarte YM, Montero-Cabrera LA, García-de la Vega JM, Bencomo-Martínez A, Pupo A, Agramonte-Delgado A, Marrero-Ponce Y, Ruiz-García JA, Mikosch H. Alvarez-Ginarte YM, et al. J Steroid Biochem Mol Biol. 2013 Nov;138:348-58. doi: 10.1016/j.jsbmb.2013.07.004. Epub 2013 Jul 18. J Steroid Biochem Mol Biol. 2013. PMID: 23872659

9

N-linear algebraic maps for chemical structure codification: a suitable generalization for atom-pair approaches?

Garcia-Jacas CR, Marrero-Ponce Y, Barigye SJ, Valdes-Martini JR, Rivera-Borroto OM, Olivero-Verbel J. Garcia-Jacas CR, et al. Curr Drug Metab. 2014;15(4):441-69. doi: 10.2174/1389200215666140605124506. Curr Drug Metab. 2014. PMID: 24909423

10

Exploring the QSAR's predictive truthfulness of the novel N-tuple discrete derivative indices on benchmark datasets.

Martínez-Santiago O, Marrero-Ponce Y, Vivas-Reyes R, Rivera-Borroto OM, Hurtado E, Treto-Suarez MA, Ramos Y, Vergara-Murillo F, Orozco-Ugarriza ME, Martínez-López Y. Martínez-Santiago O, et al. SAR QSAR Environ Res. 2017 May;28(5):367-389. doi: 10.1080/1062936X.2017.1326403. SAR QSAR Environ Res. 2017. PMID: 28590848

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