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Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties 

Herrera Ibatá, Diana María; Pazos, A.; Orbegozo-Medina, Ricardo Alfredo; Romero-Durán, Francisco Javier; González-Díaz, Humberto (Elsevier, 2015-04-24)
[Abstract] Using computational algorithms to design tailored drug cocktails for highly active antiretroviral therapy (HAART) on specific populations is a goal of major importance for both pharmaceutical industry and public ...
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Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models 

Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)
[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ...
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Microemulsions for colorectal cancer treatments: general considerations and formulation of methotrexate 

Flores, Sergio E.; Rial-Hermida, M.Isabel; Ramírez, Jorge C.; Pazos, A.; Concheiro, Ángel; Álvarez-Lorenzo, Carmen; Peralta, René D. (Bentham, 2016-04-01)
[Abstract] Microemulsions combine the advantages of emulsions with those of nanocarriers, overcoming the stability problems of the former and providing facile scalable systems with compartments adequate for high drug ...
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Data analysis in chemistry and bio-medical sciences 

Todeschini, Roberto; Pazos, A.; Arrasate, Sonia; González-Díaz, Humberto (MPDI, 2016-12-14)
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ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks 

González-Díaz, Humberto; Herrera-Ibatá, Diana María; Duardo-Sánchez, Aliuska; Munteanu, Cristian-Robert; Orbegozo-Medina, Ricardo Alfredo; Pazos, A. (American Chemical Society, 2014)
[Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The ...
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LECTINPred: web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design 

Munteanu, Cristian-Robert; Pedreira Souto, Nieves; Dorado, Julián; Pazos, A.; Pérez-Montoto, Lázaro G.; Ubeira, Florencio; González-Díaz, Humberto (Wiley, 2014-03-18)
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Carbon nanotubes’ effect on mitochondrial oxygen flux dynamics: polarography experimental study and machine learning models using star graph trace invariants of Raman spectra 

González-Durruthy, Michael; Monserrat, José M.; Rasulev, Bakhtiyor; Casañola-Martín, Gerardo M.; Barreiro Sorrivas, José María; Paraíso-Medina, Sergio; Maojo, Víctor; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert (MDPI, 2017-11-11)
[Abstract] This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) under three experimental conditions. New experimental results and a new methodology are reported for the first ...
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Assessing mouse alternatives to access to computer: a case study of a user with cerebral palsy 

Pousada, Thais; Pereira-Loureiro, Javier; Groba, Betania; Nieto-Riveiro, Laura; Pazos, A. (Taylor & Francis para RESNA, 2014)
[Abstract] The purpose of this study is to describe the process of assessment of three assistive devices to meet the needs of a woman with cerebral palsy (CP) in order to provide her with computer access and use. The user ...
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Decrypting strong and weak single-walled carbon nanotubes interactions with mitochondrial voltage-dependent anion channels using molecular docking and perturbation theory 

González-Durruthy, Michael; Werhli, Adriano V.; Seus, Vinicius; Machado, Karina S.; Pazos, A.; Munteanu, Cristian-Robert; González-Díaz, Humberto; Monserrat, José M. (Nature, 2017-10-16)
[Abstract] The current molecular docking study provided the Free Energy of Binding (FEB) for the interaction (nanotoxicity) between VDAC mitochondrial channels of three species (VDAC1-Mus musculus, VDAC1-Homo sapiens, ...
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Net-net Auto machine learning (AutoML) prediction of complex ecosystems 

Barreiro, Enrique; Munteanu, Cristian-Robert; Cruz-Monteagudo, Maykel; Pazos, A.; González-Díaz, Humberto (Nature, 2018-08-17)
[Abstract] Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relationships (links). Experimental confirmation of all possible links is difficult and generates a huge volume ...
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AutorPazos, A. (38)Munteanu, Cristian-Robert (24)González-Díaz, Humberto (19)Fernández-Lozano, Carlos (9)Fernández-Blanco, Enrique (7)Dorado, Julián (6)Liu, Yong (6)Pereira-Loureiro, Javier (6)Cabrera-Andrade, Alejandro (5)Gestal, M. (5)... máisMateriaMachine learning (9)Artificial neural networks (4)Deep learning (4)Occupational therapy (3)Perturbation theory (3)QSAR models (3)Convolutional neural networks (2)Drug design (2)Envejecimiento (2)Genetic algorithms (2)... máisData2022 (1)2021 (1)2020 (7)2019 (3)2018 (5)2017 (9)2016 (8)2015 (7)2014 (4)2013 (1)
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