I+D de fármacos
GI-1606
![Foto de Francisco](/img/nophoto.png)
Francisco
Prado Prado
Publicacións nas que colabora con Francisco Prado Prado (10)
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
2010
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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
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Protein graphs in cancer prediction
An Omics Perspective on Cancer Research (Springer Netherlands), pp. 125-140
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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Multi-target spectral moment: QSAR for antiviral drugs vs. different viral species
Analytica Chimica Acta, Vol. 651, Núm. 2, pp. 159-164
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Multi-target spectral moments for QSAR and Complex Networks study of antibacterial drugs
European Journal of Medicinal Chemistry, Vol. 44, Núm. 11, pp. 4516-4521
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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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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
2007
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Unified QSAR approach to antimicrobials. Part 2: Predicting activity against more than 90 different species in order to halt antibacterial resistance
Bioorganic and Medicinal Chemistry, Vol. 15, Núm. 2, pp. 897-902
2006
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Unify QSAR approach to antimicrobials. Part 1: Predicting antifungal activity against different species
Bioorganic and Medicinal Chemistry, Vol. 14, Núm. 17, pp. 5973-5980