F
Francisco Torrens
Researcher at University of Valencia
Publications - 199
Citations - 2944
Francisco Torrens is an academic researcher from University of Valencia. The author has contributed to research in topics: Quantitative structure–activity relationship & Cluster (physics). The author has an hindex of 26, co-authored 194 publications receiving 2796 citations.
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Atom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry: theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic.
Yovani Marrero-Ponce,Juan A. Castillo-Garit,Ervelio Olazabal,Hector S. Serrano,Alcidez Morales,Nilo Castañedo,Froylán Ibarra-Velarde,Alma Huesca-Guillen,Alicia M. Sánchez,Francisco Torrens,Eduardo A. Castro +10 more
TL;DR: A novel atom-level chemical descriptor has been applied to estimate the anthelmintic activity and results suggest that the proposed method will be a good tool for studying the biological properties of drug candidates during the early state of the drug-development process.
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3D-Chiral quadratic indices of the ‘molecular pseudograph’s atom adjacency matrix’ and their application to central chirality codification: classification of ACE inhibitors and prediction of σ-receptor antagonist activities
Yovani Marrero Ponce,Humberto González Díaz,Humberto González Díaz,Vicente Romero Zaldivar,Francisco Torrens,Eduardo A. Castro +5 more
TL;DR: 3D-chiral TOMOCOMD-CARDD approach provides a powerful alternative to 3D-QSAR and prediction of the biological activities of chiral 3-(3-hydroxyphenyl)piperidines, which are sigma-receptor antagonists, by linear multiple regression analysis was carried out.
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Atom, atom-type, and total nonstochastic and stochastic quadratic fingerprints: a promising approach for modeling of antibacterial activity.
Yovani Marrero-Ponce,Ricardo Medina-Marrero,Francisco Torrens,Yamile Martinez,Vicente Romero-Zaldivar,Eduardo A. Castro +5 more
TL;DR: A virtual screening of 87 new compounds reported in the antiinfective field with antibacterial activities is developed showing the ability of the TOMOCOMD-CARDD models to identify new leads as antibacterial.
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TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: evaluation of different classification model combinations using bond-based linear indices.
Gerardo M. Casañola-Martin,Gerardo M. Casañola-Martin,Yovani Marrero-Ponce,Yovani Marrero-Ponce,Mahmud Tareq Hassan Khan,Mahmud Tareq Hassan Khan,Arjumand Ather,Sadia Sultan,Francisco Torrens,Richard Rotondo +9 more
TL;DR: The fitted discriminant functions were used in the selection/identification of new ethylsteroids isolated from herbal plants, looking for tyrosinase inhibitory activity, and provided useful clues that can be used to speed up in the identification of new tyosinase inhibitor compounds.
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Revealing the relationship between vegetable oil composition and oxidative stability: A multifactorial approach
Lucía Redondo-Cuevas,Lucía Redondo-Cuevas,Gloria Castellano,Francisco Torrens,Vassilios Raikos +4 more
TL;DR: A detailed composition analysis was performed for 22 diverse oils and fats and included determination of tocopherols (α, γ and δ), β-carotene, chlorophyll, total phenolic compounds (TPC) and fatty acid (FA) composition, as well as the determination of their oxidative stability (Rancimat test) as mentioned in this paper.