Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lisset Cabrera Leyva"'
Autor:
César R. García-Jacas, Lisset Cabrera-Leyva, Yovani Marrero-Ponce, José Suárez-Lezcano, Fernando Cortés-Guzmán, Mario Pupo-Meriño, Ricardo Vivas-Reyes
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-17 (2018)
Abstract Background Several topological (2D) and geometric (3D) molecular descriptors (MDs) are calculated from local vertex/edge invariants (LOVIs/LOEIs) by performing an aggregation process. To this end, norm-, mean- and statistic-based (non-fuzzy)
Externí odkaz:
https://doaj.org/article/592931df3d11466d8163625c09d2f3de
Autor:
Lisset Cabrera Leyva, Jesus Favela Vara, Dagoberto Cruz Sandoval, Diana Leticia Paniagua Santos, Maricruz Huerta Jauregui
Publikováno v:
2022 IEEE Mexican International Conference on Computer Science (ENC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::356ff94306020638774c055b26257684
https://doi.org/10.1109/enc56672.2022.9882903
https://doi.org/10.1109/enc56672.2022.9882903
Autor:
Lisset Cabrera-Leyva, Julio Cesar Madera Quintana, César R. García-Jacas, Yovani Marrero-Ponce
Publikováno v:
Revista Cubana de Informática Médica, Vol 8, Iss 2 (2016)
Los estudios QSAR definidos en la literatura están basados en enfoques uni-modales, dejando de analizar conjuntos de datos que contienen distintas informaciones químicas. En esta investigación se propone aplicar por primera vez y analizar el compo
Externí odkaz:
https://doaj.org/article/f49795a2462a4620ac3c9d4ba1131680
Autor:
Lisset Cabrera-Leyva, Yovani Marrero-Ponce, César R. García-Jacas, Mario Pupo-Meriño, Fernando Cortés-Guzmán, José Suárez-Lezcano, Ricardo Vivas-Reyes
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-17 (2018)
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-17 (2018)
Background Several topological (2D) and geometric (3D) molecular descriptors (MDs) are calculated from local vertex/edge invariants (LOVIs/LOEIs) by performing an aggregation process. To this end, norm-, mean- and statistic-based (non-fuzzy) operator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3a0980c4eb9d668d0072f3294b67c0
http://europepmc.org/articles/PMC6755596
http://europepmc.org/articles/PMC6755596
Autor:
Lisset Cabrera-Leyva, J C Ledesma-Romero, A R Rodríguez-León, Karina Martinez-Mayorga, T Hernández-Ortega, Yovani Marrero-Ponce, I Aguilera-Fernández, César R. García-Jacas
Publikováno v:
SAR and QSAR in environmental research. 28(6)
A novel mathematical procedure to codify chiral features of organic molecules in the QuBiLS-MIDAS framework is introduced. This procedure constitutes a generalization to that commonly used to date, where the values 1 and -1 (correction factor) are em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::879fb983917c3af2294431d880b6b496
https://pubmed.ncbi.nlm.nih.gov/28705027
https://pubmed.ncbi.nlm.nih.gov/28705027
Autor:
T Hernández-Ortega, Yovani Marrero-Ponce, Stephen J. Barigye, A Fernández-Castillo, Lisset Cabrera-Leyva, César R. García-Jacas
Publikováno v:
SAR and QSAR in environmental research. 27(12)
Novel N-tuple topological/geometric cutoffs to consider specific inter-atomic relations in the QuBiLS-MIDAS framework are introduced in this manuscript. These molecular cutoffs permit the taking into account of relations between more than two atoms b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31c2a87e4370c931b8a6722f9610a73e
https://pubmed.ncbi.nlm.nih.gov/27707004
https://pubmed.ncbi.nlm.nih.gov/27707004
Autor:
Lisset Cabrera-Leyva, César R. García-Jacas, Fernando Cortés-Guzmán, Luis A. García-González, José Suárez-Lezcano, Yovani Marrero-Ponce
Publikováno v:
Molecular Informatics. 37:1800039
A different perspective to compute global weighted definitions of molecular descriptors from the contributions of each atom (LOVIs) or covalent bond (LOEIs) within a molecule is presented, using the generalized ordered weighted averaging - weighted a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b3339a6ffdbec5189868ed14898940
https://doi.org/10.1002/minf.201800039
https://doi.org/10.1002/minf.201800039
Autor:
Lisset Cabrera-Leyva, Mario Pupo-Meriño, Stephen J. Barigye, Yovani Marrero-Ponce, César R. García-Jacas, Ernesto Contreras-Torres
Publikováno v:
Journal of Cheminformatics
Background Recently, novel 3D alignment-free molecular descriptors (also known as QuBiLS-MIDAS) based on two-linear, three-linear and four-linear algebraic forms have been introduced. These descriptors codify chemical information for relations betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b743c3881fd7c764748679351f01ed5b