F
Francisco Torrens
Researcher at University of Valencia
Publications - 17
Citations - 527
Francisco Torrens is an academic researcher from University of Valencia. The author has contributed to research in topics: Linear regression & Quantitative structure–activity relationship. The author has an hindex of 11, co-authored 17 publications receiving 507 citations.
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Estimation of ADME properties in drug discovery: Predicting Caco‐2 cell permeability using atom‐based stochastic and non‐stochastic linear indices
TL;DR: Results suggest that the proposed method is a good tool for studying the oral absorption of drug candidates, and compares favorably with other approaches implemented in the Dragon software, as well as other methods from the international literature.
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Atom, Atom-Type, and Total Linear Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”: Application to QSPR/QSAR Studies of Organic Compounds
Yovani Marrero Ponce,Juan Alberto Castillo Garit,Francisco Torrens,Vicente Romero Zaldivar,Eduardo A. Castro +4 more
TL;DR: The atom, atom-type and total linear indices of the molecular pseudograph's atom adjacency matrix appear to be a very promising structural invariant, useful for QSPR/QSAR studies and computer-aided "rational" drug design.
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New tyrosinase inhibitors selected by atomic linear indices-based classification models.
Gerardo M. Casañola-Martin,Mahmud Tareq Hassan Khan,Mahmud Tareq Hassan Khan,Yovani Marrero-Ponce,Yovani Marrero-Ponce,Arjumand Ather,M. N. Sultankhodzhaev,Francisco Torrens +7 more
TL;DR: The use of the atom-based linear indices for finding functions that discriminate between the tyrosinase inhibitor compounds and inactive ones is presented and these fitted models were used in the screening of new cycloartane compounds isolated from herbal plants.
Journal ArticleDOI
Nucleic Acid Quadratic Indices of the "Macromolecular Graph's Nucleotides Adjacency Matrix". Modeling of Footprints after the Interaction of Paromomycin with the HIV-1 Ψ-RNA Packaging Region
Yovani Marrero Ponce,Delvin Nodarse,Humberto González Díaz,Ronal Ramos de Armas,Vicente Romero Zaldivar,Francisco Torrens,Eduardo A. Castro +6 more
TL;DR: In this paper, a set of macromolecular descriptors of relevance to nucleic acid QSAR/QSPR studies, nucleic acids quadratic indices, are calculated from the graph of the nucleotide adjacency matrix.