Publicaciones en las que colabora con Humberto González Díaz (88)

2024

  1. From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine

    Health Information Science and Systems, Vol. 12, Núm. 1

  2. MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products

    Journal of Cheminformatics, Vol. 16, Núm. 1

  3. Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective observational study

    International Journal of Surgery

  4. NANO.PTML model for read-across prediction of nanosystems in neurosciences. computational model and experimental case of study

    Journal of Nanobiotechnology, Vol. 22, Núm. 1

  5. On the additive artificial intelligence-based discovery of nanoparticle neurodegenerative disease drug delivery systems

    Beilstein Journal of Nanotechnology, Vol. 15, pp. 535-555

  6. OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues

    Advanced Science, Vol. 11, Núm. 13

2023

  1. MATEO HPTML model data

    figshare

  2. MATEO HPTML model data

    figshare

  3. SI02_MATEO Ref Recctions.xlsx

    figshare

  4. SI02_MATEO Ref Recctions.xlsx

    figshare

2022

  1. Multi-output chemometrics model for gasoline compounding

    Fuel, Vol. 310

2021

  1. Prediction of anti-glioblastoma drug-decorated nanoparticle delivery systems using molecular descriptors and machine learning

    International Journal of Molecular Sciences, Vol. 22, Núm. 21

  2. Synthesis, Pharmacological, and Biological Evaluation of 2-Furoyl-Based MIF-1 Peptidomimetics and the Development of a General-Purpose Model for Allosteric Modulators (ALLOPTML)

    ACS Chemical Neuroscience, Vol. 12, Núm. 1, pp. 203-215

2020

  1. A multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing

    Pharmaceuticals, Vol. 13, Núm. 11, pp. 1-16

  2. Gene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis

    International Journal of Molecular Sciences, Vol. 21, Núm. 3

  3. MCDcalc: Markov chain molecular descriptors calculator for medicinal chemistry

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 4, pp. 305-317

  4. Net-net autoML selection of artificial neural network topology for brain connectome prediction

    Applied Sciences (Switzerland), Vol. 10, Núm. 4

  5. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

    Scientific Reports, Vol. 10, Núm. 1

  6. Perturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds

    ACS Omega, Vol. 5, Núm. 42, pp. 27211-27220

  7. Prediction of antimalarial drug-decorated nanoparticle delivery systems with random forest models

    Biology, Vol. 9, Núm. 8, pp. 1-15