Experimental–Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov–Shannon Entropy Invariants-Reference-Cited by-同舟云学术

Experimental–Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov–Shannon Entropy Invariants

Published:2017-04-25 Issue:5 Volume:57 Page:1029-1044
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

González-Durruthy Michael,Alberici Luciane C.,Curti Carlos,Naal Zeki,Atique-Sawazaki David T.,Vázquez-Naya José M.¹^ORCID,González-Díaz Humberto²³^ORCID,Munteanu Cristian R.¹⁴^ORCID

Affiliation:

1. RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, Campus de Elviña s/n, 15071 A Coruña, Spain

2. Department of Organic Chemistry II, Faculty of Science and Technology, University of the Basque Country UPV/EHU, 48940, Leioa, Bizkaia, Spain

3. IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Bizkaia, Spain

4. Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), A Coruña, 15006, Spain

Funder

European Regional Development Fund

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior

Conseller?a de Cultura, Educaci?n e Ordenaci?n Universitaria, Xunta de Galicia

Xunta de Galicia

Publisher