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Humberto González-Díaz

Humberto González-Díaz

D-Index & Metrics

Biology and Biochemistry

D-Index
59
Citations
9641
World Ranking
12812
National Ranking
261

Overview

Humberto González-Díaz is affiliated with the University of the Basque Country in Spain. Their research spans primarily the fields of Biochemistry, Genetics and Molecular Biology, and Computer Science, with a strong focus on Molecular Biology and Computational Theory and Mathematics as key subfields.

The scientist's work covers a range of main topics including Computational Drug Discovery Methods, Metabolomics and Mass Spectrometry Studies, Machine Learning in Materials Science, Bioinformatics and Genomic Networks, Microbial Metabolic Engineering and Bioproduction, Machine Learning in Bioinformatics, and Nanoparticle-Based Drug Delivery.

They have frequently published in several journals and venues, with repeated contributions notably in:

  • Current Topics in Medicinal Chemistry
  • Scientific Reports
  • Journal of Chemical Information and Modeling
  • Nanoscale
  • International Journal of Molecular Sciences

Humberto González-Díaz has collaborated extensively with specific co-authors over the course of their career. Frequent collaborators include:

  • Sonia Arrasate
  • Cristian R. Munteanu
  • Harbil Bediaga
  • Gerardo M. Casañola-Martín
  • Karel Diéguez-Santana

The following are recent selected research papers authored or co-authored by Humberto González-Díaz:

  • Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks, 2020, Scientific Reports
  • Predicting coated-nanoparticle drug release systems with perturbation-theory machine learning (PTML) models, 2020, Nanoscale
  • OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine, 2020, Scientific Reports
  • Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models, 2020, Biology
  • PTML Model for Selection of Nanoparticles, Anticancer Drugs, and Vitamins in the Design of Drug-Vitamin Nanoparticle Release Systems for Cancer Cotherapy, 2020, Molecular Pharmaceutics

Best Publications

  • Medicinal chemistry and bioinformatics--current trends in drugs discovery with networks topological indices.

    Humberto Gonzalez-Diaz;Santiago Vilar;Lourdes Santana;Eugenio Uriarte

  • Proteomics, networks and connectivity indices.

    Humberto González-Díaz;Yenny González-Díaz;Lourdes Santana;Florencio M. Ubeira

  • Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.

    Francisco J. Prado-Prado;Humberto González-Díaz;Octavio Martinez de la Vega;Florencio M. Ubeira

  • A QSAR model for in silico screening of MAO-A inhibitors. Prediction, synthesis, and biological assay of novel coumarins.

    Lourdes Santana;Eugenio Uriarte;Humberto González-Díaz;Giuseppe Zagotto

  • 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.

    Valeria V. Kleandrova;Feng Luan;Feng Luan;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach.

    Humberto Gonzalez-Diaz;Francisco Prado-Prado;Florencio M. Ubeira

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

    Feng Luan;Feng Luan;Valeria V. Kleandrova;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species

    Francisco J. Prado-Prado;Xerardo García-Mera;Humberto González-Díaz

  • Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.

    Lourdes Santana;Humberto González-Díaz;Elías Quezada;Eugenio Uriarte

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

    Valeria V. Kleandrova;Feng Luan;Humberto González-Díaz;Juan M. Ruso

  • Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks.

    Francisco J. Prado-Prado;Francisco J. Prado-Prado;Octavio Martinez de la Vega;Eugenio Uriarte;Florencio M. Ubeira

  • Novel 2D maps and coupling numbers for protein sequences. The first QSAR study of polygalacturonases; isolation and prediction of a novel sequence from Psidium guajava L.

    Guillermín Agüero-Chapin;Humberto González-Díaz;Humberto González-Díaz;Reinaldo Molina;Reinaldo Molina;Javier Varona-Santos

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

    Dolores Viña;Eugenio Uriarte;Francisco Orallo;Humberto González-Díaz

  • Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: multispecies activity models for antifungals.

    Humberto GonzÁlez-DÍaz;Francisco J. Prado-Prado

  • General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry

    Humberto Gonzalez-Diaz;Sonia Arrasate;Asier Gomez-SanJuan;Nuria Sotomayor

  • HP-Lattice QSAR for dynein proteins: Experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence

    María Auxiliadora Dea-Ayuela;Yunierkis Pérez-Castillo;Alfredo Meneses-Marcel;Alfredo Meneses-Marcel;Florencio M. Ubeira

  • Review of MARCH-INSIDE & complex networks prediction of drugs: ADMET, anti-parasite activity, metabolizing enzymes and cardiotoxicity proteome biomarkers.

    Humberto Gonzalez-Diaz;Aliuska Duardo-Sanchez;Florencio M. Ubeira;Francisco Prado-Prado

  • MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.

    Humberto González-Díaz;Francisco Prado-Prado;Xerardo García-Mera;Nerea Alonso

  • Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

    Cristian Robert Munteanu;Alexandre L. Magalhães;Eugenio Uriarte;Humberto González-Díaz

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

    Humberto Gonzalez-Díaz;Liane Saiz-Urra;Reinaldo Molina;Lourdes Santana

Frequent Co-Authors

Eugenio Uriarte
Eugenio Uriarte University of Santiago de Compostela
Florencio M. Ubeira
Florencio M. Ubeira University of Santiago de Compostela
Lourdes Santana
Lourdes Santana University of Santiago de Compostela
Fernanda Borges
Fernanda Borges University of Porto
M. Natália D. S. Cordeiro
M. Natália D. S. Cordeiro University of Porto
Alejandro Speck-Planche
Alejandro Speck-Planche University of Porto
José Maria Monserrat
José Maria Monserrat Federal University of Rio Grande
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Agostinho Antunes
Agostinho Antunes University of Porto
Marta González-Warleta
Marta González-Warleta Xunta de Galicia

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