Mostrando ítems 1-8 de 8
-
Experimental and chemometric studies of cell membrane permeability
Liu, Yong; Ran, Tao; Tenorio-Borroto, Esvieta; Tang, Shaoxun; Pazos, A.; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-03-18)[Abstract] Cell membrane permeability (P) governs the molecules or ions to transport through the cell membrane. In this study, we measured P of ruminal microbes in different initial levels of surface tension (ST) and ... -
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 ... -
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 ... -
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 ... -
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 ... -
Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats
Liu, Yong; Munteanu, Cristian-Robert; Yan, Qiongxian; Pedreira Souto, Nieves; Kang, Jinhe; Tang, Shaoxun; Zhou, Chuanshe; He, Zhixiong; Tan, Zhiliang (PeerJ, 2019-10)[Abstract]: Background In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction ... -
Prediction of Nucleoitide Binding Peptides Using Star Graph Topological Índices
Liu, Yong; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique; Tan, Zhiliang; Santos-del-Riego, Antonino; Pazos, A. (Elsevier, 2015-08-05)[Abstract] The nucleotide binding proteins are involved in many important cellular processes, such as transmission of genetic information or energy transfer and storage. Therefore, the screening of new peptides for this ...
