![Foto de Francisco](/img/nophoto.png)
Francisco
Prado Prado
Publicacións nas que colabora con Francisco Prado Prado (18)
2015
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach
Current Topics in Medicinal Chemistry, Vol. 8, Núm. 18, pp. 1676-1690
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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