JUAN JOSÉ
NOGAL RUIZ
Profesor titular de universidad
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Universidad Central de Las Villas
Santa Clara, CubaPublicacións en colaboración con investigadores/as de Universidad Central de Las Villas (14)
2018
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Antichagasic, Leishmanicidal, and Trichomonacidal Activity of 2-Benzyl-5-nitroindazole-Derived Amines
ChemMedChem, Vol. 13, Núm. 12, pp. 1246-1259
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Drug repositioning for novel antitrichomonas from known antiprotozoan drugs using hierarchical screening
Future Medicinal Chemistry, Vol. 10, Núm. 8, pp. 863-878
2015
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Synthesis and in vitro and in vivo biological evaluation of substituted nitroquinoxalin-2-ones and 2,3-diones as novel trichomonacidal agents
European Journal of Medicinal Chemistry, Vol. 94, pp. 276-283
2014
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A sequential procedure for rapid and accurate identification of putative trichomonacidal agents
Journal of Microbiological Methods, Vol. 105, pp. 162-167
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Antiprotozoan lead discovery by aligning dry and wet screening: Prediction, synthesis, and biological assay of novel quinoxalinones
Bioorganic and Medicinal Chemistry, Vol. 22, Núm. 5, pp. 1568-1585
2012
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Validation of a modified fluorimetric assay for the screening of trichomonacidal drugs
Memorias do Instituto Oswaldo Cruz, Vol. 107, Núm. 5, pp. 637-643
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
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A linear discrimination analysis based virtual screening of trichomonacidal lead-like compounds: Outcomes of in silico studies supported by experimental results
Bioorganic and Medicinal Chemistry Letters, Vol. 15, Núm. 17, pp. 3838-3843