Publicacións en colaboración con investigadores/as de Ikerbasque, Fundación Vasca para la Ciencia (48)

2024

  1. Design and optimization of an electrochemical sensor based on carbon nanotubes for the reliable voltammetric detection of serotonin in complex biological fluids

    Carbon, Vol. 229

  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. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches

    Journal of Extracellular Vesicles, Vol. 13, Núm. 2

  4. Preclinical validation of human recombinant glutamate-oxaloacetate transaminase for the treatment of acute ischemic stroke

    iScience, Vol. 27, Núm. 11

  5. Structure of graphene oxide-phospholipid monolayers: A grazing incidence X-ray diffraction and neutron and X-ray reflectivity study

    Journal of Colloid and Interface Science, Vol. 655, pp. 664-675

  6. Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses

    Scientific Reports, Vol. 14, Núm. 1

2023

  1. Surfactant Layers on Gold Nanorods

    Accounts of Chemical Research, Vol. 56, Núm. 10, pp. 1204-1212

2022

  1. New Insights into the Exploitation of BODIPY Derivatives as Organic Photocatalysts

    European Journal of Organic Chemistry, Vol. 2022, Núm. 39

2021

  1. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

    Autophagy, Vol. 17, Núm. 1, pp. 1-382

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

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

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. Plasmonic Nanoparticles with Supramolecular Recognition

    Advanced Functional Materials, Vol. 30, Núm. 2

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

    Biology, Vol. 9, Núm. 8, pp. 1-15

  9. Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

    Scientific Reports, Vol. 10, Núm. 1

  10. Ptml multi-label algorithms: Models, software, and applications

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 25, pp. 2326-2337