González-Díaz H - Search Results

1

Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors.

Viña D, Uriarte E, Orallo F, González-Díaz H. Viña D, et al. Mol Pharm. 2009 May-Jun;6(3):825-35. doi: 10.1021/mp800102c. Mol Pharm. 2009. PMID: 19281186

2

Markovian Backbone Negentropies: Molecular descriptors for protein research. I. Predicting protein stability in Arc repressor mutants.

Ramos de Armas R, González Díaz H, Molina R, Uriarte E. Ramos de Armas R, et al. Proteins. 2004 Sep 1;56(4):715-23. doi: 10.1002/prot.20159. Proteins. 2004. PMID: 15281125

3

Markov entropy backbone electrostatic descriptors for predicting proteins biological activity.

González-Díaz H, Molina R, Uriarte E. González-Díaz H, et al. 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

4

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. Bioorg Med Chem. 2004 Sep 15;12(18):4815-22. doi: 10.1016/j.bmc.2004.07.017. Bioorg Med Chem. 2004. PMID: 15336260

5

Predicting stability of Arc repressor mutants with protein stochastic moments.

González-Díaz H, Uriarte E, Ramos de Armas R. González-Díaz H, et al. Bioorg Med Chem. 2005 Jan 17;13(2):323-31. doi: 10.1016/j.bmc.2004.10.024. Bioorg Med Chem. 2005. PMID: 15598555

6

Biopolymer stochastic moments. I. Modeling human rhinovirus cellular recognition with protein surface electrostatic moments.

González-Díaz H, Uriarte E. González-Díaz H, et al. Biopolymers. 2005 Apr 5;77(5):296-303. doi: 10.1002/bip.20234. Biopolymers. 2005. PMID: 15648087

7

Design, synthesis and photobiological properties of 3,4-cyclopentenepsoralens.

Gia O, Marciani Magno S, Gonzalez-Diaz H, Quezada E, Santana L, Uriarte E, Dalla Via L. Gia O, et al. Bioorg Med Chem. 2005 Feb 1;13(3):809-17. doi: 10.1016/j.bmc.2004.10.044. Bioorg Med Chem. 2005. PMID: 15653348

8

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. 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

9

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. Bioorg Med Chem. 2005 Feb 15;13(4):1119-29. doi: 10.1016/j.bmc.2004.11.030. Bioorg Med Chem. 2005. PMID: 15670920

10

3D QSAR Markov model for drug-induced eosinophilia--theoretical prediction and preliminary experimental assay of the antimicrobial drug G1.

González-Díaz H, Tenorio E, Castañedo N, Santana L, Uriarte E. González-Díaz H, et al. Bioorg Med Chem. 2005 Mar 1;13(5):1523-30. doi: 10.1016/j.bmc.2004.12.028. Bioorg Med Chem. 2005. PMID: 15698768

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

217 results

Search Page

Filters