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Membrane Transport Proteins

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Effect of potential probiotic Leuconostoc mesenteroides FB111 in prevention of cholesterol absorption by modulating NPC1L1/PPARα/SREBP-2 pathways in epithelial Caco-2 cells.

International microbiology : the official journal of the Spanish Society for Microbiology 30810991
Mustard kimchi consumption reduces cholesterol levels in rats. To identify lactic acid bacteria (LAB) in kimchi which exert this effect, 20 LAB isolates were evaluated for cholesterol reduction in an in vitro screen. The FB111 strain showed the highe...
Caco-2 Cells Cholesterol Epithelial Cells Food Microbiology Gene Expression Profiling Humans Leuconostoc mesenteroides Membrane Proteins Membrane Transport Proteins PPAR alpha Probiotics Real-Time Polymerase Chain Reaction Sterol Regulatory Element Binding Protein 2
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METSP: a maximum-entropy classifier based text mining tool for transporter-substrate identification with semistructured text.

BioMed research international 26495291
The substrates of a transporter are not only useful for inferring function of the transporter, but also important to discover compound-compound interaction and to reconstruct metabolic pathway. Though plenty of data has been accumulated with the deve...
Algorithms Data Mining Entropy Machine Learning Membrane Transport Proteins Metabolic Networks and Pathways Natural Language Processing Pattern Recognition, Automated Software Vocabulary, Controlled
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Prediction the Substrate Specificities of Membrane Transport Proteins Based on Support Vector Machine and Hybrid Features.

IEEE/ACM transactions on computational biology and bioinformatics 26571537
Membrane transport proteins and their substrate specificities play crucial roles in a variety of cellular functions. Identifying the substrate specificities of membrane transport proteins is closely related to the protein-target interaction predictio...
Algorithms Binding Sites Membrane Transport Proteins Models, Chemical Molecular Docking Simulation Pattern Recognition, Automated Protein Binding Protein Interaction Mapping Sequence Analysis, Protein Substrate Specificity Support Vector Machine
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Challenges and Opportunities for Increasing the Knowledge Base Related to Drug Biotransformation and Pharmacokinetics during Growth and Development.

Drug metabolism and disposition: the biological fate of chemicals 27302933
It is generally acknowledged that there is a need and role for informative pharmacokinetic models to improve predictions and simulation as well as individualization of drug therapy in pediatric populations of different ages and developmental stages. ...
Adolescent Adolescent Development Age Factors Aging Biotransformation Child Child Development Child, Preschool Computer Simulation Enzymes Gene Expression Regulation, Developmental Gene Expression Regulation, Enzymologic Humans Infant Infant, Newborn Knowledge Bases Membrane Transport Proteins Models, Biological Pharmaceutical Preparations Pharmacokinetics
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Molecular Properties of Drugs Interacting with SLC22 Transporters OAT1, OAT3, OCT1, and OCT2: A Machine-Learning Approach.

The Journal of pharmacology and experimental therapeutics 27488918
Statistical analysis was performed on physicochemical descriptors of ∼250 drugs known to interact with one or more SLC22 "drug" transporters (i.e., SLC22A6 or OAT1, SLC22A8 or OAT3, SLC22A1 or OCT1, and SLC22A2 or OCT2), followed by application of ma...
Computational Biology Hydrogen-Ion Concentration Machine Learning Membrane Transport Proteins Models, Molecular Organic Anion Transport Protein 1 Organic Anion Transporters, Sodium-Independent Organic Cation Transporter 1 Pharmaceutical Preparations Protein Binding Protein Conformation Substrate Specificity
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Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.

Biochimica et biophysica acta. Molecular basis of disease 32360590
Lung cancer is one of the most common cancer types worldwide and causes more than one million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) are two major lung cancer subtypes and have different characteristics in sever...
Adenocarcinoma of Lung Adenosine Triphosphatases Cadherins Carcinoma, Squamous Cell Computational Biology Cystatin A Datasets as Topic Diagnosis, Differential Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Lung Neoplasms Machine Learning Membrane Transport Proteins Monte Carlo Method Serpins Terminology as Topic Transcription Factors Transcriptome Tumor Suppressor Proteins
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TooT-T: discrimination of transport proteins from non-transport proteins.

BMC bioinformatics 32321420
BACKGROUND: Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and fu...
Amino Acid Sequence Computational Biology Machine Learning Membrane Transport Proteins Support Vector Machine
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