Molina R - Search Results

1

Predicting multiple drugs side effects with a general drug-target interaction thermodynamic Markov model.

González-Díaz H, Cruz-Monteagudo M, Molina R, Tenorio E, Uriarte E. González-Díaz H, et al. Among authors: molina r. Bioorg Med Chem. 2005 Feb 15;13(4):1119-29. doi: 10.1016/j.bmc.2004.11.030. Bioorg Med Chem. 2005. PMID: 15670920

2

Unified Markov thermodynamics based on stochastic forms to classify drugs considering molecular structure, partition system, and biological species: distribution of the antimicrobial G1 on rat tissues.

González-Díaz H, Agüero G, Cabrera MA, Molina R, Santana L, Uriarte E, Delogu G, Castañedo N. González-Díaz H, et al. Among authors: molina r. Bioorg Med Chem Lett. 2005 Feb 1;15(3):551-7. doi: 10.1016/j.bmcl.2004.11.059. Bioorg Med Chem Lett. 2005. PMID: 15664811

3

2D RNA-QSAR: assigning ACC oxidase family membership with stochastic molecular descriptors; isolation and prediction of a sequence from Psidium guajava L.

González-Díaz H, Agüero-Chapin G, Varona-Santos J, Molina R, de la Riva G, Uriarte E. González-Díaz H, et al. Among authors: molina r. Bioorg Med Chem Lett. 2005 Jun 2;15(11):2932-7. doi: 10.1016/j.bmcl.2005.03.017. Bioorg Med Chem Lett. 2005. PMID: 15878661

4

Recognition of stable protein mutants with 3D stochastic average electrostatic potentials.

González-Díaz H, Molina R, Uriarte E. González-Díaz H, et al. Among authors: molina r. FEBS Lett. 2005 Aug 15;579(20):4297-301. doi: 10.1016/j.febslet.2005.06.065. FEBS Lett. 2005. PMID: 16081074 Free article.

5

Markov entropy backbone electrostatic descriptors for predicting proteins biological activity.

González-Díaz H, Molina R, Uriarte E. González-Díaz H, et al. Among authors: molina r. Bioorg Med Chem Lett. 2004 Sep 20;14(18):4691-5. doi: 10.1016/j.bmcl.2004.06.100. Bioorg Med Chem Lett. 2004. PMID: 15324889

6

Stochastic-based descriptors studying peptides biological properties: modeling the bitter tasting threshold of dipeptides.

Ramos de Armas R, González Díaz H, Molina R, Pérez González M, Uriarte E. Ramos de Armas R, et al. Among authors: molina r. Bioorg Med Chem. 2004 Sep 15;12(18):4815-22. doi: 10.1016/j.bmc.2004.07.017. Bioorg Med Chem. 2004. PMID: 15336260

7

Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design III: 2.5D indices for the discovery of antibacterials.

González-Díaz H, Torres-Gómez LA, Guevara Y, Almeida MS, Molina R, Castañedo N, Santana L, Uriarte E. González-Díaz H, et al. Among authors: molina r. J Mol Model. 2005 Mar;11(2):116-23. doi: 10.1007/s00894-004-0228-3. Epub 2005 Feb 19. J Mol Model. 2005. PMID: 15723208

8

Computational chemistry approach to protein kinase recognition using 3D stochastic van der Waals spectral moments.

González-Díaz H, Saíz-Urra L, Molina R, González-Díaz Y, Sánchez-González A. González-Díaz H, et al. Among authors: molina r. J Comput Chem. 2007 Apr 30;28(6):1042-8. doi: 10.1002/jcc.20649. J Comput Chem. 2007. PMID: 17269125

9

A model for the recognition of protein kinases based on the entropy of 3D van der Waals interactions.

Gonzalez-Díaz H, Saiz-Urra L, Molina R, Santana L, Uriarte E. Gonzalez-Díaz H, et al. Among authors: molina r. J Proteome Res. 2007 Feb;6(2):904-8. doi: 10.1021/pr060493s. J Proteome Res. 2007. PMID: 17269749

10

2D-RNA-coupling numbers: a new computational chemistry approach to link secondary structure topology with biological function.

González-Díaz H, Agüero-Chapin G, Varona J, Molina R, Delogu G, Santana L, Uriarte E, Podda G. González-Díaz H, et al. Among authors: molina r. J Comput Chem. 2007 Apr 30;28(6):1049-56. doi: 10.1002/jcc.20576. J Comput Chem. 2007. PMID: 17279496

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