Publicacións nas que colabora con Francisco Prado Prado (21)

2017

  1. Review of theoretical models to study natural products with antiprotozoal activity

    Current Drug Targets, Vol. 18, Núm. 5, pp. 605-616

2016

  1. Model for classification of a ChEMBL dataset of anti-breast cancer-compounds conforming to multiple pharmacological parameters, biological assays, and receptors

    Letters in Drug Design and Discovery, Vol. 13, pp. 491-496

2014

  1. Model for high-throughput screening of drug immunotoxicity - Study of the anti-microbial G1 over peritoneal macrophages using flow cytometry

    European Journal of Medicinal Chemistry, Vol. 72, pp. 206-220

  2. Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates

    International Journal of Molecular Sciences, Vol. 15, Núm. 9, pp. 17035-17064

2013

  1. Entropy model for multiplex drug-target interaction endpoints of drug immunotoxicity

    Current Topics in Medicinal Chemistry, Vol. 13, Núm. 14, pp. 1636-1649

  2. Patents of bio-active compounds based on computer-aided drug discovery techniques

    Frontiers in Bioscience - Elite, Vol. 5 E, Núm. 2, pp. 399-407

  3. Review of bioinformatics and theoretical studies of acetylcholinesterase inhibitors

    Current Bioinformatics, Vol. 8, Núm. 4, pp. 496-510

2012

  1. 3D MI-DRAGON: New model for the reconstruction of US FDA drug- target network and theoretical-experimental studies of inhibitors of rasagiline derivatives for AChE

    Current Topics in Medicinal Chemistry, Vol. 12, Núm. 16, pp. 1843-1865

  2. ANN multiplexing model of drugs effect on macrophages; Theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen

    Bioorganic and Medicinal Chemistry, Vol. 20, Núm. 20, pp. 6181-6194

  3. QSAR models for computer-aided drug design and molecular docking for disorders of the central nervous system and other diseases

    Current Topics in Medicinal Chemistry

  4. Review of synthesis, assay, and prediction of β and γ-secretase inhibitors

    Current Topics in Medicinal Chemistry, Vol. 12, Núm. 8, pp. 828-844

2011

  1. 2D MI-DRAGON: A new predictor for protein-ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins

    European Journal of Medicinal Chemistry, Vol. 46, Núm. 12, pp. 5838-5851

  2. Entropy multi-target QSAR model for prediction of antiviral drug complex networks

    Chemometrics and Intelligent Laboratory Systems, Vol. 107, Núm. 2, pp. 227-233

  3. 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

    Journal of Proteome Research, Vol. 10, Núm. 4, pp. 1698-1718

  4. NL MIND-BEST: A web server for ligands and proteins discovery-Theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum

    Journal of Theoretical Biology, Vol. 276, Núm. 1, pp. 229-249

  5. NL mind-best: aweb server for ligands and proteins discovery; theoretic experimental study of proteins of giardia lamblia

    Proteómica: revista de la Sociedad Española de Proteómica, Núm. 7, pp. 170-170

  6. Review of Bioinformatics and QSAR studies of β-secretase inhibitors

    Current Bioinformatics, Vol. 6, Núm. 1, pp. 3-15

  7. Review of synthesis, biological assay and QSAR studies of β-secretase inhibitors

    Current Computer-Aided Drug Design, Vol. 7, Núm. 4, pp. 263-275

  8. Theoretical study of GSK-3α: Neural networks QSAR studies for the design of new inhibitors using 2D descriptors

    Molecular Diversity, Vol. 15, Núm. 4, pp. 947-955

  9. Using entropy of drug and protein graphs to predict FDA drug-target network: Theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica

    European Journal of Medicinal Chemistry, Vol. 46, Núm. 4, pp. 1074-1094