Publicacións nas que colabora con Francisco Prado Prado (32)

2017

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

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

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

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