Listar por autor "Munteanu, Cristian-Robert"
Mostrando ítems 21-40 de 61
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Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota
Liu, Yong; Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Pazos, A.; Ran, Tao; Tan, Zhiliang; Zhou, Chuanshe; Tang, Shaoxun; González-Díaz, Humberto (Frontiers Science, 2017-06-30)[Abstract] The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels ... -
Experimental study and random forest prediction model of microbiome cell surface hydrophobicity
Liu, Yong; Tang, Shaoxun; Fernández-Lozano, Carlos; Munteanu, Cristian-Robert; Pazos, A.; Yu, Yi-zun; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-11-09)[Abstract] The cell surface hydrophobicity (CSH) is an assessable physicochemical property used to evaluate the microbial adhesion to the surface of biomaterials, which is an essential step in the microbial biofilm formation ... -
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
González-Durruthy, Michael; Alberici, Luciane C.; Curti, Carlos; Naal, Zeki; Atique-Sawazaki, David T.; Vázquez-Naya, José; González-Díaz, Humberto; Munteanu, Cristian-Robert (ACS Publications, 2017-04-17)[Abstract] The study of selective toxicity of carbon nanotubes (CNTs) on mitochondria (CNT-mitotoxicity) is of major interest for future biomedical applications. In the current work, the mitochondrial oxygen consumption ... -
El funcionamiento en la vida diaria de los niños con trastorno del espectro del autismo: aproximación a través del uso de un cuestionario basado en la CIF(-IA)
Groba, Betania; Nieto-Riveiro, Laura; Pousada, Thais; Munteanu, Cristian-Robert; Pereira-Loureiro, Javier; Pazos, A. (Asociación Española de Profesionales del Autismo, 2016-11-17) -
Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory
Ran, Tao; Liu, Yong; Li, Hengzhi; Tang, Shaoxun; He, Zhixiong; Munteanu, Cristian-Robert; González-Díaz, Humberto; Tan, Zhiliang; Zhou, Chuanshe (Nature, 2016-07-27)[Abstract] The management of ruminant growth yield has economic importance. The current work presents a study of the spatiotemporal dynamic expression of Ghrelin and GHR at mRNA levels throughout the gastrointestinal tract ... -
Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; Paz-y-Miño, César; Pérez-Castillo, Yunierkis; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Tejera, Eduardo (M D P I AG, 2020-02-05)[Abstract] Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its ... -
Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
López-Cortés, Andrés; Paz-y-Miño, César; Cabrera-Andrade, Alejandro; Barigye, Stephen J.; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Pérez-Castillo, Yunierkis; Tejera, Eduardo (Nature, 2018-11-12)[Abstract] Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities ... -
General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress
Deng, Yanli; Liu, Yong; Tang, Shaoxun; Zhou, Chuanshe; Han, Xuefeng; Xiao, Wenjun; Pastur-Romay, L.A.; Vázquez-Naya, José; Pereira-Loureiro, Javier; Munteanu, Cristian-Robert; Tang, Zhiliang (Bentham Science, 2017)[Abstract] This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions ... -
Graph-based processing of macromolecular information
Munteanu, Cristian-Robert; Aguiar-Pulido, Vanessa; Freire, Ana; Martínez-Romero, Marcos; Porto-Pazos, Ana B.; Pereira-Loureiro, Javier; Dorado, Julián (Bentham Science, 2015)[Abstract] The complex information encoded into the element connectivity of a system gives rise to the possibility of graphical processing of divisible systems by using the Graph theory. An application in this sense is the ... -
He–, Ne–, and Ar–phosgene intermolecular potential energy surfaces
Munteanu, Cristian-Robert; Henriksen, Christian; Felker, Peter M.; Fernández, Berta (ACS Publications, 2013-04-12)[Abstract] Using the CCSD(T) model, we evaluated the intermolecular potential energy surfaces of the He–, Ne–, and Ar–phosgene complexes. We considered a representative number of intermolecular geometries for which we ... -
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
Munteanu, Cristian-Robert; Gestal, M.; Martínez-Acevedo, Yunuen G.; Pazos, A.; Dorado, Julián; Pedreira Souto, Nieves (MDPI, 2019)[Abstract] In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known ... -
Improving Authentication in the Amazon Alexa Virtual Assistant by Using a Geofence
Fernández-García, Jorge; Rivera-Dourado, Martiño; Pérez-Jove, Rubén; Munteanu, Cristian-Robert; Vázquez-Naya, José (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Amazon Alexa processes voice commands as input to help users perform tasks. For protecting this commands, Amazon Alexa implements some security measures. These security measures, such as voice recognition and ... -
Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection
Fernández-Lozano, Carlos; Fernández-Blanco, Enrique; Dave, Kirtan; Pedreira Souto, Nieves; Gestal, M.; Dorado, Julián; Munteanu, Cristian-Robert (Royal Society of Chemistry, 2014-01-14)[Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ... -
In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
López-Cortés, Andrés; Guevara-Ramírez, Patricia; Kyriakidis, Nikolaos C.; Barba-Ostria, Carlos; León Cáceres, Ángela; Guerrero, Santiago; Ortiz-Prado, Esteban; Munteanu, Cristian-Robert; Tejera, Eduardo; Cevallos-Robalino, Doménica; Gómez-Jaramillo, Ana María; Simbaña-Rivera, Katherine; Granizo-Martínez, Adriana; Pérez-M, Gabriela; Moreno, Silvana; García-Cárdenas, Jennyfer M.; Zambrano, Ana Karina; Pérez-Castillo, Yunierkis; Cabrera-Andrade, Alejandro; Puig San Andrés, Lourdes; Proaño-Castro, Carolina; Bautista, Jhommara; Quevedo, Andreina; Varela, Nelson; Quiñones, Luis Abel; Paz-y-Miño, César (Frontiers Research Foundation, 2021-02-26)[Abstract] Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome ... -
Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices
Fernández-Lozano, Carlos; Gestal, M.; Pedreira Souto, Nieves; Postelnicu, Lucian; Dorado, Julián; Munteanu, Cristian-Robert (Bentham, 2013)[Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ... -
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) -
Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia
Aguiar-Pulido, Vanessa; Seoane, José A.; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Molecular Diversity Preservation International, 2010)[Abstract] Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important ... -
Markov Mean Properties for Cell Death-Related Protein Classification
Fernández-Lozano, Carlos; Gestal, M.; González-Díaz, Humberto; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2014-01-31)[Abstract] The cell death (CD) is a dynamic biological function involved in physiological and pathological processes. Due to the complexity of CD, there is a demand for fast theoretical methods that can help to find new ... -
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products
Carracedo-Reboredo, Paula; Aranzamendi, Eider; He, Shan; Arrasate, Sonia; Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Sotomayor, Nuria; Lete, Esther; González-Díaz, Humberto (BMC, 2024-01-23)[Absctract]: The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products. In this context, Chiral Phosphoric Acid (CPA) catalysts ... -
Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación
Gestal, M.; Fernán, Carlos; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen] El objetivo de cualquier docente debería ser la mejora continua en sus materias. En este trabajo se muestra una aproximación para adecuar las enseñanzas a aquellos aspectos más necesarios dentro de una materia. ...