Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 3 of 3 entries
Sorted by: Best Match Show Resources per page
Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.

Journal of cheminformatics

García-Jacas CR, Contreras-Torres E, Marrero-Ponce Y, Pupo-Meriño M, Barigye SJ, Cabrera-Leyva L.
PMID: 26925168
J Cheminform. 2016 Feb 25;8:10. doi: 10.1186/s13321-016-0122-x. eCollection 2016.

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 between two, three and four atoms by using several (dis-)similarity...

Cite
García-Jacas CR, Contreras-Torres E, Marrero-Ponce Y, et al. Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets. J Cheminform. 2016;8:10doi: 10.1186/s13321-016-0122-x.
García-Jacas, C. R., Contreras-Torres, E., Marrero-Ponce, Y., Pupo-Meriño, M., Barigye, S. J., & Cabrera-Leyva, L. (2016). Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets. Journal of cheminformatics, 810. https://doi.org/10.1186/s13321-016-0122-x
García-Jacas, César R, et al. "Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets." Journal of cheminformatics vol. 8 (2016): 10. doi: https://doi.org/10.1186/s13321-016-0122-x
García-Jacas CR, Contreras-Torres E, Marrero-Ponce Y, Pupo-Meriño M, Barigye SJ, Cabrera-Leyva L. Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets. J Cheminform. 2016 Feb 25;8:10. doi: 10.1186/s13321-016-0122-x. eCollection 2016. PMID: 26925168; PMCID: PMC4768433.
Copy Download .nbib Format: NLM
Molecular Characterization of Coxsackievirus A24v from Feces and Conjunctiva Reveals Epidemiological Links.

Microorganisms

Fonseca MC, Pupo-Meriño M, García-González LA, Muné M, Resik S, Norder H, Sarmiento L.
PMID: 33807540
Microorganisms. 2021 Mar 05;9(3). doi: 10.3390/microorganisms9030531.

Coxsackievirus A24 variant (CVA24v), the main causative agent of acute hemorrhagic conjunctivitis (AHC), can be isolated from both the eyes and lower alimentary tract. However, the molecular features of CVA24v in feces is not well-documented. In this study, we...

Cite
Fonseca MC, Pupo-Meriño M, García-González LA, et al. Molecular Characterization of Coxsackievirus A24v from Feces and Conjunctiva Reveals Epidemiological Links. Microorganisms. 2021;9(3)doi: 10.3390/microorganisms9030531.
Fonseca, M. C., Pupo-Meriño, M., García-González, L. A., Muné, M., Resik, S., Norder, H., & Sarmiento, L. (2021). Molecular Characterization of Coxsackievirus A24v from Feces and Conjunctiva Reveals Epidemiological Links. Microorganisms, 9(3), . https://doi.org/10.3390/microorganisms9030531
Fonseca, Magilé C, et al. "Molecular Characterization of Coxsackievirus A24v from Feces and Conjunctiva Reveals Epidemiological Links." Microorganisms vol. 9,3 (2021). doi: https://doi.org/10.3390/microorganisms9030531
Fonseca MC, Pupo-Meriño M, García-González LA, Muné M, Resik S, Norder H, Sarmiento L. Molecular Characterization of Coxsackievirus A24v from Feces and Conjunctiva Reveals Epidemiological Links. Microorganisms. 2021 Mar 05;9(3). doi: 10.3390/microorganisms9030531. PMID: 33807540; PMCID: PMC7998715.
Copy Download .nbib Format: NLM
Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs).

Journal of cheminformatics

García-Jacas CR, Cabrera-Leyva L, Marrero-Ponce Y, Suárez-Lezcano J, Cortés-Guzmán F, Pupo-Meriño M, Vivas-Reyes R.
PMID: 30362050
J Cheminform. 2018 Oct 25;10(1):51. doi: 10.1186/s13321-018-0306-7.

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) operators are used, under the assumption that LOVIs/LOEIs are...

Cite
García-Jacas CR, Cabrera-Leyva L, Marrero-Ponce Y, et al. Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs). J Cheminform. 2018;10(1):51doi: 10.1186/s13321-018-0306-7.
García-Jacas, C. R., Cabrera-Leyva, L., Marrero-Ponce, Y., Suárez-Lezcano, J., Cortés-Guzmán, F., Pupo-Meriño, M., & Vivas-Reyes, R. (2018). Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs). Journal of cheminformatics, 10(1), 51. https://doi.org/10.1186/s13321-018-0306-7
García-Jacas, César R, et al. "Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs)." Journal of cheminformatics vol. 10,1 (2018): 51. doi: https://doi.org/10.1186/s13321-018-0306-7
García-Jacas CR, Cabrera-Leyva L, Marrero-Ponce Y, Suárez-Lezcano J, Cortés-Guzmán F, Pupo-Meriño M, Vivas-Reyes R. Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs). J Cheminform. 2018 Oct 25;10(1):51. doi: 10.1186/s13321-018-0306-7. PMID: 30362050; PMCID: PMC6755596.
Copy Download .nbib Format: NLM
Showing 1 to 3 of 3 entries