Browsing by Author "Munteanu, Cristian-Robert"
Now showing items 1-20 of 64
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A methodology for the design of experiments in computational intelligence with multiple regression models
Fernández-Lozano, Carlos; Gestal, M.; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)[Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ... -
A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert; Pérez-Castillo, Yunierkis; Tejera, Eduardo (MDPI AG, 2020-11-22)[Abstract] Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the ... -
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 ... -
Applied Computational Techniques on Schizophrenia Using Genetic Mutations
Aguiar-Pulido, Vanessa; Gestal, M.; Fernández-Lozano, Carlos; Rivero, Daniel; Munteanu, Cristian-Robert (Bentham, 2013-03-01)[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ... -
Applying Artificial Intelligence for Operating System Fingerprinting
Pérez-Jove, Rubén; Munteanu, Cristian-Robert; Pazos, A.; Vázquez-Naya, José (MDPI, 2021)[Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices ... -
ASD Module: a software to support the personal autonomy in the daily life of children with autism spectrum disorder
Groba, Betania; Pereira-Loureiro, Javier; Nieto-Riveiro, Laura; Pousada, Thais; Falcón, Susana; Munteanu, Cristian-Robert; Pazos, A. (MDPI, 2015-12-04)[Abstract] Introduction: It was observed that technology developers expressed a clear interest to design programs that meet the needs of individuals with Autism Spectrum Disorder (ASD). Several authors indicate that any ... -
Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)[Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ... -
Automatic Seizure Detection Based on Star Graph Topological Indices
Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2012-08-15)[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ... -
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 ... -
Biomedical data integration in computational drug design and bioinformatics
Seoane, José A.; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Bentham Science, 2013)[Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real ... -
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; Munteanu, Cristian-Robert; Pazos, A. (M D P I AG, 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 ... -
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 ... -
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Mato-Abad, Virginia; Pita-Fernández, Salvador; Álvarez-Linera, Juan; Hernández-Tamames, Juan Antonio; Pazos, A. (Elsevier, 2015-03-30)[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ... -
Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques
Mato-Abad, Virginia; Labiano-Fontcuberta, Andrés; Rodríguez-Yáñez, Santiago; García-Vázquez, Rafael; Munteanu, Cristian-Robert; Andrade-Garda, Javier; Domingo-Santos, Ángela; Galán Sánchez-Seco, Victoria; Aladro, Yolanda; Martínez-Ginés, Mª Luisa; Ayuso, Lucía; Benito-León, Julián (2019)[Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ... -
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, ... -
Design and Implementation of a Physical Bitcoin Coin
Femenias-Hermida, Alberto; Munteanu, Cristian-Robert; Vázquez-Naya, José (MDPI AG, 2020-08-20)[Abstract] One of the major factors hindering the adoption of crypto assets in general, and Bitcoin in particular, is the high level of complexity they present to the common user. Although physical coins are a possible ... -
Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Tejera, Eduardo; Munteanu, Cristian-Robert; López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Pérez-Castillo, Yunierkis (MDPI AG, 2020-11-06)[Abstract] Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human ... -
Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Tejera, Eduardo; Munteanu, Cristian-Robert; López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Pérez-Castillo, Yunierkis (MDPI AG, 2020-11-06)[Abstract] Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human ... -
Evolutionary Computation and QSAR Research
Aguiar-Pulido, Vanessa; Gestal, M.; Cruz-Monteagudo, Maykel; Rabuñal, Juan R.; Dorado, Julián; Munteanu, Cristian-Robert (Bentham Science, 2013)[Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ... -
Experimental and computational studies of fatty acid distribution networks
Liu, Yong; Buendía-Rodríguez, Germán; Peñuelas-Rivas, Claudia Giovanna; Tan, Zhiliang; Rivas-Guevara, María; Tenorio-Borroto, Esvieta; Munteanu, Cristian-Robert; Pazos, A.; González-Díaz, Humberto (Royal Society of Chemistry, 2015-08-06)[Abstract] Unbalanced uptake of Omega 6/Omega 3 (ω-6/ω-3) ratios could increase chronic disease occurrences, such as inflammation, atherosclerosis, or tumor proliferation, and methylation methods for measuring the ruminal ...
