Publicacións nas que colabora con Francisco Prado Prado (18)

2015

  1. Métodos grafo-numéricos de relevancia para la bioinformática. Aplicaciones en la biotecnología vegetal y en el descubrimiento de fármacos

    Anales de la Academia de Ciencias de Cuba, Vol. 5, Núm. 3

2012

  1. Generalized string pseudo-folding lattices in bioinformatics: State-of-art review, new model for enzyme sub-classes, and study of ESTs on trichinella spiralis

    Current Bioinformatics, Vol. 7, Núm. 1, pp. 7-34

2011

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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. Predicting drugs and proteins in parasite infections with topological indices of complex networks: Theoretical backgrounds, applications and legal issues

    Current Pharmaceutical Design, Vol. 16, Núm. 24, pp. 2737-2764

  2. QSAR for RNases and theoretic-experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein

    Molecular Diversity, Vol. 14, Núm. 2, pp. 349-369

  3. Review of MARCH-INSIDE & complex networks prediction of drugs: ADMET, anti-parasite activity, metabolizing enzymes and cardiotoxicity proteome biomarkers

    Current Drug Metabolism, Vol. 11, Núm. 4, pp. 379-406

  4. Unified QSAR & network-based computational chemistry approach to antimicrobials. II. Multiple distance and triadic census analysis of antiparasitic drugs complex networks

    Journal of Computational Chemistry, Vol. 31, Núm. 1, pp. 164-173

2009

  1. 3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites

    Biochimica et Biophysica Acta - Proteins and Proteomics, Vol. 1794, Núm. 12, pp. 1784-1794

  2. Prediction of enzyme classes from 3D structure: A general model and examples of experimental-theoretic scoring of peptide mass fingerprints of Leishmania proteins

    Journal of Proteome Research, Vol. 8, Núm. 9, pp. 4372-4382

  3. Study of parasitic infections, cancer, and other diseases with mass-spectrometry and quantitative proteome-disease relationships

    Current Proteomics, Vol. 6, Núm. 4, pp. 246-261

  4. Study of peptide fingerprints of parasite proteins and drug-DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks

    Polymer, Vol. 50, Núm. 15, pp. 3857-3870

  5. Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks

    Bioorganic and Medicinal Chemistry, Vol. 17, Núm. 2, pp. 569-575

2008

  1. Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach

    Current Topics in Medicinal Chemistry, Vol. 8, Núm. 18, pp. 1676-1690

  2. Unified QSAR approach to antimicrobials. Part 3: First multi-tasking QSAR model for Input-Coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds

    Bioorganic and Medicinal Chemistry, Vol. 16, Núm. 11, pp. 5871-5880