Publicaciones en las que colabora con Francisco Prado Prado (45)

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

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. MISS-Prot: Web server for self/non-self discrimination of protein residue networks in parasites; Theory and experiments in Fasciola peptides and Anisakis allergens

    Molecular BioSystems, Vol. 7, Núm. 6, pp. 1938-1955

  5. 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

  6. 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

  7. 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

2010

  1. A new computational chemistry and complex networks approach to structure-function and similarity relationships in protein enzymes

    Handbook of Computational Chemistry Research (Nova Science Publishers, Inc.), pp. 387-408