González-Díaz H - Search Results

1

Trends in Nanoparticles for Leishmania Treatment: A Bibliometric and Network Analysis.

Mazón-Ortiz G, Cerda-Mejía G, Gutiérrez Morales E, Diéguez-Santana K, Ruso JM, González-Díaz H. Mazón-Ortiz G, et al. Diseases. 2023 Oct 28;11(4):153. doi: 10.3390/diseases11040153. Diseases. 2023. PMID: 37987264 Free PMC article. Review.

2

MIANN models in medicinal, physical and organic chemistry.

González-Díaz H, Arrasate S, Sotomayor N, Lete E, Munteanu CR, Pazos A, Besada-Porto L, Ruso JM. González-Díaz H, et al. Curr Top Med Chem. 2013;13(5):619-41. doi: 10.2174/1568026611313050006. Curr Top Med Chem. 2013. PMID: 23548024 Review.

3

General theory for multiple input-output perturbations in complex molecular systems. 1. Linear QSPR electronegativity models in physical, organic, and medicinal chemistry.

González-Díaz H, Arrasate S, Gómez-SanJuan A, Sotomayor N, Lete E, Besada-Porto L, Ruso JM. González-Díaz H, et al. Curr Top Med Chem. 2013;13(14):1713-41. doi: 10.2174/1568026611313140011. Curr Top Med Chem. 2013. PMID: 23889050 Review.

4

Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach.

Luan F, Kleandrova VV, González-Díaz H, Ruso JM, Melo A, Speck-Planche A, Cordeiro MN. Luan F, et al. Nanoscale. 2014 Sep 21;6(18):10623-30. doi: 10.1039/c4nr01285b. Epub 2014 Aug 1. Nanoscale. 2014. PMID: 25083742

5

Computational ecotoxicology: simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions.

Kleandrova VV, Luan F, González-Díaz H, Ruso JM, Melo A, Speck-Planche A, Cordeiro MN. Kleandrova VV, et al. Environ Int. 2014 Dec;73:288-94. doi: 10.1016/j.envint.2014.08.009. Epub 2014 Aug 29. Environ Int. 2014. PMID: 25173945 Free article.

6

Matrix trace operators: from spectral moments of molecular graphs and complex networks to perturbations in synthetic reactions, micelle nanoparticles, and drug ADME processes.

Gonzalez-Diaz H, Arrasate S, Juan AG, Sotomayor N, Lete E, Speck-Planche A, Ruso JM, Luan F, Cordeiro MN. Gonzalez-Diaz H, et al. Curr Drug Metab. 2014;15(4):470-88. doi: 10.2174/1389200215666140908101604. Curr Drug Metab. 2014. PMID: 25204825

7

Computational tool for risk assessment of nanomaterials: novel QSTR-perturbation model for simultaneous prediction of ecotoxicity and cytotoxicity of uncoated and coated nanoparticles under multiple experimental conditions.

Kleandrova VV, Luan F, González-Díaz H, Ruso JM, Speck-Planche A, Cordeiro MN. Kleandrova VV, et al. Environ Sci Technol. 2014 Dec 16;48(24):14686-94. doi: 10.1021/es503861x. Epub 2014 Nov 21. Environ Sci Technol. 2014. PMID: 25384130

8

Self-Assembled Binary Nanoscale Systems: Multioutput Model with LFER-Covariance Perturbation Theory and an Experimental-Computational Study of NaGDC-DDAB Micelles.

Messina PV, Besada-Porto JM, González-Díaz H, Ruso JM. Messina PV, et al. Langmuir. 2015 Nov 10;31(44):12009-18. doi: 10.1021/acs.langmuir.5b03074. Epub 2015 Oct 29. Langmuir. 2015. PMID: 26484726

9

Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems.

Messina PV, Besada-Porto JM, Rial R, González-Díaz H, Ruso JM. Messina PV, et al. Curr Pharm Des. 2016;22(34):5249-5256. doi: 10.2174/1381612822666160513150054. Curr Pharm Des. 2016. PMID: 27174810 Review.

10

Predicting Metabolic Reaction Networks with Perturbation-Theory Machine Learning (PTML) Models.

Diéguez-Santana K, Casañola-Martin GM, Green JR, Rasulev B, González-Díaz H. Diéguez-Santana K, et al. Curr Top Med Chem. 2021;21(9):819-827. doi: 10.2174/1568026621666210331161144. Curr Top Med Chem. 2021. PMID: 33797370

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