Publikationen, an denen er mitarbeitet Cristian-Robert Munteanu (73)

2024

  1. 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

2023

  1. MATEO HPTML model data

    MATEO HPTML model data

  2. MATEO HPTML model data

    MATEO HPTML model data

  3. SI02_MATEO Ref Recctions.xlsx

    SI02_MATEO Ref Recctions.xlsx

  4. SI02_MATEO Ref Recctions.xlsx

    SI02_MATEO Ref Recctions.xlsx

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

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

  8. 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

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

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

2019

  1. MCDCalc Values for Chemical Reactivity

    MCDCalc Values for Chemical Reactivity

  2. MCDCalc Values for Chemical Reactivity

    MCDCalc Values for Chemical Reactivity

  3. MCDCalc Values for Chemical Reactivity and Biological Activity

    MCDCalc Values for Chemical Reactivity and Biological Activity

  4. MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

    MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

  5. MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

    MCDCalc Values for Enantioselective α-Amidoalkylation Reac.