Humberto González Díaz

Orcid: 0000-0002-9392-2797

According to our database1, Humberto González Díaz authored at least 33 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products.
J. Cheminformatics, December, 2024

From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine.
Health Inf. Sci. Syst., December, 2024

2023
Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends.
Comput. Biol. Medicine, March, 2023

2022
Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole Derivatives.
J. Chem. Inf. Model., 2022

2019
Modeling Antibacterial Activity with Machine Learning and Fusion of Chemical Structure Information with Microorganism Metabolic Networks.
J. Chem. Inf. Model., 2019

MitoTarget Modeling Using ANN-Classification Models Based on Fractal SEM Nano-Descriptors: Carbon Nanotubes as Mitochondrial F0F1-ATPase Inhibitors.
J. Chem. Inf. Model., 2019

QSAR-Co: An Open Source Software for Developing Robust Multitasking or Multitarget Classification-Based QSAR Models.
J. Chem. Inf. Model., 2019

2018
Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies.
J. Chem. Inf. Model., 2018

Perturbation Theory-Machine Learning Study of Zeolite Materials Desilication.
J. Chem. Inf. Model., 2018

2017
Experimental-Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants.
J. Chem. Inf. Model., 2017

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity.
Expert Syst. Appl., 2017

2015
Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties.
Biosyst., 2015

2014
Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors.
J. Chem. Inf. Model., 2014

ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks.
J. Chem. Inf. Model., 2014

2013
The Rücker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics.
Biosyst., 2013

2012
New Markov-Autocorrelation Indices for Re-evaluation of Links in Chemical and Biological Complex Networks used in Metabolomics, Parasitology, Neurosciences, and Epidemiology.
J. Chem. Inf. Model., 2012

2011

2010
Unified QSAR & network-based computational chemistry approach to antimicrobials. II. Multiple distance and triadic census analysis of antiparasitic drugs complex networks.
J. Comput. Chem., 2010

2009
Computational chemistry study of 3D-structure-function relationships for enzymes based on Markov models for protein electrostatic, HINT, and van der Waals potentials.
J. Comput. Chem., 2009

2008
MMM-QSAR Recognition of Ribonucleases without Alignment: Comparison with an HMM Model and Isolation from <i>Schizosaccharomyces pombe</i>, Prediction, and Experimental Assay of a New Sequence.
J. Chem. Inf. Model., 2008

Comparative Study of Topological Indices of Macro/Supramolecular RNA Complex Networks.
J. Chem. Inf. Model., 2008

QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks.
J. Comput. Chem., 2008

2007
Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: Multispecies activity models for antifungals.
J. Comput. Chem., 2007

Computational chemistry approach to protein kinase recognition using 3D stochastic van der Waals spectral moments.
J. Comput. Chem., 2007

Computational chemistry comparison of stable/nonstable protein mutants classification models based on 3D and topological indices.
J. Comput. Chem., 2007

2D-RNA-coupling numbers: A new computational chemistry approach to link secondary structure topology with biological function.
J. Comput. Chem., 2007

Computational chemistry development of a unified free energy Markov model for the distribution of 1300 chemicals to 38 different environmental or biological systems.
J. Comput. Chem., 2007

2004
Designing Antibacterial Compounds through a Topological Substructural Approach.
J. Chem. Inf. Model., 2004

2003
TOPS-MODE Based QSARs Derived from Heterogeneous Series of Compounds. Applications to the Design of New Herbicides.
J. Chem. Inf. Comput. Sci., 2003

What Are the Limits of Applicability for Graph Theoretic Descriptors in QSPR/QSAR? Modeling Dipole Moments of Aromatic Compounds with TOPS-MODE Descriptors.
J. Chem. Inf. Comput. Sci., 2003

Symmetry considerations in Markovian chemicals 'in silico' design (MARCH-INSIDE) I: central chirality codification, classification of ACE inhibitors and prediction of \sigma-receptor antagonist activities.
Comput. Biol. Chem., 2003

Markovian negentropies in bioinformatics. 1. A picture of footprints after the interaction of the HIV-1 -RNA packaging region with drugs.
Bioinform., 2003

2000
Modeling Diamagnetic and Magnetooptic Properties of Organic Compounds with the TOSS-MODE Approach.
J. Chem. Inf. Comput. Sci., 2000


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