Publikationen, an denen er mitarbeitet FRANCISCO TORRENS ZARAGOZA (30)

2016

  1. Prediction of aquatic toxicity of benzene derivatives to tetrahymena pyriformis according to OECD principles

    Current Pharmaceutical Design, Vol. 22, Núm. 33, pp. 5085-5094

2015

  1. Bond-based bilinear indices for computational discovery of novel trypanosomicidal drug-like compounds through virtual screening

    European Journal of Medicinal Chemistry, Vol. 96, pp. 238-244

2014

  1. Analysis of proteasome inhibition prediction using atom-based quadratic indices enhanced by machine learning classification techniques

    Letters in Drug Design and Discovery, Vol. 11, Núm. 6, pp. 705-711

  2. Prediction of ADME properties. Part 1, Classification models to predit Caco-2 cell permeability using atom-based bilinear indices

    Afinidad: Revista de química teórica y aplicada, Vol. 71, Núm. 566, pp. 129-138

  3. Tyrosinase enzyme: 1. An overview on a pharmacological target

    Current Topics in Medicinal Chemistry, Vol. 14, Núm. 12, pp. 1494-1501

2013

  1. La enzima tirosinasa: 2, Inhibidores de origen natural y sintético

    Afinidad: Revista de química teórica y aplicada, Vol. 70, Núm. 564, pp. 270-276

  2. Retrained classification of tyrosinase inhibitors and "In Silico" potency estimation by using atom-type linear indices: A powerful tool for speed up the discovery of leads

    Methodologies and Applications for Chemoinformatics and Chemical Engineering (IGI Global), pp. 322-427

2012

  1. A review of QSAR studies to discover new drug-like compounds actives against Leishmaniasis and Trypanosomiasis

    Current Topics in Medicinal Chemistry, Vol. 12, Núm. 8, pp. 852-865

  2. Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds

    Chemical Biology and Drug Design, Vol. 80, Núm. 1, pp. 38-45

  3. Modelling monomer/disc composites phase behaviour

    Macromolecular Symposia, Vol. 311, Núm. 1, pp. 49-56

  4. Prediction of the Binding Affinity between Fenoterol Derivatives and the b2 Adrenergic Receptor Using Atom-Based 3D-Chiral LinearIndices

    Nereis: revista iberoamericana interdisciplinar de métodos, modelización y simulación, Núm. 4, pp. 9-18

  5. QSAR-based CMs and TOMOCOMD-CARD approach for the discovery of new tyrosinase inhibitor chemicals

    Recent Trends on QSAR in the Pharmaeutical Perceptions (Bentham Science Publishers Ltd.), pp. 298-341

2011

  1. A comparative study of nonlinear machine learning for the "in silico" depiction of tyrosinase inhibitory activity from molecular structure

    Molecular Informatics, Vol. 30, Núm. 6-7, pp. 527-537

  2. Atom-based 3D-chiral quadratic indices.: Part 3: prediction of the binding affinity of the stereoisomers of fenoterol to the B2 adrenergic receptor.

    Afinidad: Revista de química teórica y aplicada, Vol. 68, Núm. 555, pp. 334-340

  3. Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support

    European Journal of Medicinal Chemistry, Vol. 46, Núm. 8, pp. 3324-3330

  4. Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database

    Molecular Diversity, Vol. 15, Núm. 2, pp. 507-520

2010

  1. Bond-based 2D Quadratic fingerprints in QSAR studies: Virtual and in vitro tyrosinase inhibitory activity elucidation

    Chemical Biology and Drug Design, Vol. 76, Núm. 6, pp. 538-545

  2. Ligand-based computer-aided discovery of tyrosinase inhibitors. applications of the TOMOCOMD-CARDD method to the elucidation of new compounds

    Current Pharmaceutical Design, Vol. 16, Núm. 24, pp. 2601-2624

  3. QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study

    Chemometrics and Intelligent Laboratory Systems, Vol. 104, Núm. 2, pp. 249-259

2009

  1. Binding of water-soluble, globular proteins to anionic model membranes

    Journal of Molecular Structure, Vol. 924-926, Núm. C, pp. 274-284