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.
Papers
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Journal ArticleDOI
Fractal Dimension of Different Structural-Type Zeolites and of the Active Sites
TL;DR: The fractal dimension averaged for non-buried atoms produces mental pictures of zeolites that change from a slightly to a rather porous material as mentioned in this paper, and the SURMO2/GEPOL comparison characterizes cavities.
Journal ArticleDOI
QSPR prediction of chromatographic retention times of pesticides: Partition and fractal indices
TL;DR: The high‐performance liquid‐chromatographic retentions of red‐wine pesticide residues are modeled by structure–property relationships, and the co‐ordination index that is used to characterize pesticide Retentions barely improves the correlations.
Journal ArticleDOI
QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
Huong Le-Thi-Thu,Gladys Casas Cardoso,Gerardo M. Casañola-Martin,Gerardo M. Casañola-Martin,Yovani Marrero-Ponce,Yovani Marrero-Ponce,Amilkar Puris,Francisco Torrens,Antonio Rescigno,Concepción Abad +9 more
TL;DR: It is suggested that it will be possible to produce a better description of tyrosinase activity applying the statistical techniques presented in this report, which could increase the practicality of the in silico data mining for the discovery of novel TIs.
Journal ArticleDOI
State of the Art Review and Report of New Tool for Drug Discovery.
Yoan Martínez-López,Yaile Caballero,Stephen J. Barigye,Yovani Marrero-Ponce,Reisel Millan-Cabrera,Julio Madera,Francisco Torrens,Juan A. Castillo-Garit +7 more
TL;DR: An exploratory study of Atomic Weighted Vectors (AWVs), a new tool useful for drug discovery using different datasets, shows that this tool should be a useful strategy for the QSAR/QSPR studies, despite its simplicity.
Book
Recent Trends on QSAR in the Pharmaceutical Perceptions
Mahmud Tareq Hassan Khan,Concepción Abad,Speranta Avram,Florin Borcan,Fernanda Borges,Luis Enrique Bruno Blanch,Catalin Buiu,Bogdan Bumbacila,Gerardo M. Casañola-Martin,Eduardo A. Castro,Rodica Cinca,M. Natália D. S. Cordeiro,Maykel Cruz-Monteagudo,Mukesh Doble,Corina Duda-Seiman,Daniel Duda-Seiman,Wael M. Elshemey,Seiichiro Fujisawa,Luciana Gavernet,Humberto González-Díaz,Aliuska Morales Helguera,Medhat Ibrahim,Yoshinori Kadoma,Mahmud Tareq Hassan Khan,Huong Le-Thi-Thu,Feng Luan,Ole Søgaard Lund,Claus Lundegaard,Yovani Marrero-Ponce,Dan Mihailescu,Cristian R. Munteanu,Morten Nielsen,Antonio Rescigno,Noha A. Saleh,Lourdes Santana,Ponnurengam Malliappan Sivakumar,Olivier Taboureau,Alan Talevi,Francisco Torrens +38 more
TL;DR: This e-book explains both basic approaches and new approaches and ideas in QSAR research, providing readers with an impression of recent inclinations and advances in different aspects of theQSAR strategies, such as descriptors, methods of modeling and validation.