AIMC Journal:
International journal of molecular sciences

Showing 331 to 340 of 423 articles

Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.

International journal of molecular sciences Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Rats Fibroblasts Kinetics Mitochondria Pregnancy Female Animals Rats, Wistar Ion Channel Gating Patch-Clamp Techniques Large-Conductance Calcium-Activated Potassium Channels Potassium Channels Neural Networks, Computer Hippocampus Protein Conformation Artificial Intelligence Endothelium Machine Learning Pregnancy, Animal Algorithms
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Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

International journal of molecular sciences Dec 26, 2020
In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for identifying significant biomarkers as drug targets and a systematic drug discovery strategy to design a potential multiple-molecule targeting drug for t...
Humans Biomarkers Drug Design Computational Biology Genome-Wide Association Study Systems Biology Drug Discovery Diabetes Mellitus, Type 2 Epigenomics Case-Control Studies Gene Regulatory Networks Hypoglycemic Agents Deep Learning Genetic Predisposition to Disease
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A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification.

International journal of molecular sciences Nov 28, 2020
Essential genes contain key information of genomes that could be the key to a comprehensive understanding of life and evolution. Because of their importance, studies of essential genes have been considered a crucial problem in computational biology. ...
Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning Sequence Analysis, DNA Genes, Essential Area Under Curve Species Specificity
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AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks.

International journal of molecular sciences Nov 10, 2020
Accurate prediction of the binding affinity of a protein-ligand complex is essential for efficient and successful rational drug design. Therefore, many binding affinity prediction methods have been developed. In recent years, since deep learning tech...
Drug Design Drug Discovery Deep Learning User-Computer Interface Humans Neural Networks, Computer Molecular Docking Simulation Computer-Aided Design Ligands Protein Binding Proteins Databases, Protein Molecular Dynamics Simulation
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Performance of Force-Field- and Machine Learning-Based Scoring Functions in Ranking MAO-B Protein-Inhibitor Complexes in Relevance to Developing Parkinson's Therapeutics.

International journal of molecular sciences Oct 16, 2020
Monoamine oxidase B (MAOB) is expressed in the mitochondrial membrane and has a key role in degrading various neurologically active amines such as benzylamine, phenethylamine and dopamine with the help of Flavin adenine dinucleotide (FAD) cofactor. T...
Antiparkinson Agents Molecular Docking Simulation Humans Monoamine Oxidase Inhibitors Protein Binding Machine Learning Drug Development Monoamine Oxidase
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How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS Data.

International journal of molecular sciences Oct 12, 2020
The standard approach to genetic mapping was supplemented by machine learning (ML) to establish the location of the rye gene associated with epicuticular wax formation (glaucous phenotype). Over 180 plants of the biparental F population were genotype...
Chromosome Mapping Genetics, Population Secale Waxes Biomarkers Quantitative Trait Loci Genotype Machine Learning Genes, Plant Genetic Markers Phenotype
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SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features.

International journal of molecular sciences Oct 1, 2020
Protein Hot-Spots (HS) are experimentally determined amino acids, key to small ligand binding and tend to be structural landmarks on protein-protein interactions. As such, they were extensively approached by structure-based Machine Learning (ML) pred...
Humans Machine Learning Protein Binding Computational Biology Proteins Databases, Protein Protein Interaction Mapping Amino Acids Amino Acid Sequence Datasets as Topic Binding Sites
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LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.

International journal of molecular sciences Oct 1, 2020
Recent studies uncover that subcellular location of long non-coding RNAs (lncRNAs) can provide significant information on its function. Due to the lack of experimental data, the number of lncRNAs is very limited, experimentally verified subcellular l...
Terminology as Topic Cytoplasm Ribosomes Eukaryotic Cells Gene Expression Regulation Base Sequence Computational Biology Genome, Human Support Vector Machine Humans Databases, Genetic Benchmarking Software RNA, Long Noncoding Exosomes Animals Datasets as Topic Cell Nucleus
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Classifications of Neurodegenerative Disorders Using a Multiplex Blood Biomarkers-Based Machine Learning Model.

International journal of molecular sciences Sep 21, 2020
Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and related neurodegenerative disorders are urgently needed in an aging society to assist early-stage diagnoses. In this study, we aim...
Middle Aged Female Cognitive Dysfunction Aged alpha-Synuclein Humans Aged, 80 and over Amyloid beta-Peptides Peptide Fragments Machine Learning Male Neurodegenerative Diseases Biomarkers tau Proteins
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Developing Electron Microscopy Tools for Profiling Plasma Lipoproteins Using Methyl Cellulose Embedment, Machine Learning and Immunodetection of Apolipoprotein B and Apolipoprotein(a).

International journal of molecular sciences Sep 2, 2020
Plasma lipoproteins are important carriers of cholesterol and have been linked strongly to cardiovascular disease (CVD). Our study aimed to achieve fine-grained measurements of lipoprotein subpopulations such as low-density lipoprotein (LDL), lipopro...
Microscopy, Electron Humans Machine Learning Apoprotein(a) Apolipoproteins B Methylcellulose
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