FRANCISCO
TORRENS ZARAGOZA
TITULAR DE UNIVERSIDAD
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Instituto de Química Médica
Madrid, EspañaPublicaciones en colaboración con investigadores/as de Instituto de Química Médica (11)
2017
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Dry selection and wet evaluation for the rational discovery of new anthelmintics
Molecular Physics, Vol. 115, Núm. 17-18, pp. 2300-2313
2015
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In silico antibacterial activity modeling based on the TOMOCOMD-CARDD approach
Journal of the Brazilian Chemical Society, Vol. 26, Núm. 6, pp. 1218-1226
2011
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Discovery of novel anti-inflammatory drug-like compounds by aligning in silico and in vivo screening: The nitroindazolinone chemotype
European Journal of Medicinal Chemistry, Vol. 46, Núm. 12, pp. 5736-5753
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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
2009
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Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors
QSAR and Combinatorial Science, Vol. 28, Núm. 1, pp. 9-26
2008
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Bond-based linear indices in QSAR: Computational discovery of novel anti-trichomonal compounds
Journal of Computer-Aided Molecular Design, Vol. 22, Núm. 8, pp. 523-540
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New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors
Journal of Biomolecular Screening, Vol. 13, Núm. 8, pp. 785-794
2006
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New ligand-based approach for the discovery of antitrypanosomal compounds
Bioorganic and Medicinal Chemistry Letters, Vol. 16, Núm. 7, pp. 1898-1904
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Non-stochastic quadratic fingerprints and LDA-based QSAR models in hit and lead generation through virtual screening: theoretical and experimental assessment of a promising method for the discovery of new antimalarial compounds
European Journal of Medicinal Chemistry, Vol. 41, Núm. 4, pp. 483-493
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Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs
Bioorganic and Medicinal Chemistry, Vol. 14, Núm. 19, pp. 6502-6524
2005
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A computer-based approach to the rational discovery of new trichomonacidal drugs by atom-type linear indices
Current Drug Discovery Technologies, Vol. 2, Núm. 4, pp. 245-265