AIMC Journal:
International journal of molecular sciences

Showing 371 to 380 of 423 articles

FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

International journal of molecular sciences Aug 26, 2019
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the detection methods of DNA-binding proteins includes yeast one-hybrid methods, bacterial singles and X-ray crystallography methods and others, but these met...
Computational Biology Regression Analysis DNA-Binding Proteins Machine Learning Reproducibility of Results Sensitivity and Specificity ROC Curve
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Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features.

International journal of molecular sciences Aug 22, 2019
Identifying new indications for existing drugs may reduce costs and expedites drug development. Drug-related disease predictions typically combined heterogeneous drug-related and disease-related data to derive the associations between drugs and disea...
Humans Algorithms Reproducibility of Results Pharmaceutical Preparations Deep Learning Drug-Related Side Effects and Adverse Reactions ROC Curve Disease Susceptibility Computational Biology
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Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.

International journal of molecular sciences Jul 25, 2019
Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology and pathogenesis. Most previous methods focus on integrating similarities and associating information contained in heterogeneous miRNA-disease networ...
Algorithms Deep Learning ROC Curve Genetic Predisposition to Disease Computational Biology Databases, Genetic Humans MicroRNAs Neural Networks, Computer Models, Biological
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Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences Jul 22, 2019
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain popul...
Molecular Conformation Quantitative Structure-Activity Relationship Databases, Pharmaceutical Hepacivirus Hepatitis C HIV-1 Polypharmacology Algorithms Anti-HIV Agents Drug Discovery Antiviral Agents HIV Infections Protein Binding Models, Molecular Humans Molecular Structure Machine Learning Bayes Theorem
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An Ensemble Classifier to Predict Protein-Protein Interactions by Combining PSSM-based Evolutionary Information with Local Binary Pattern Model.

International journal of molecular sciences Jul 17, 2019
Protein plays a critical role in the regulation of biological cell functions. Among them, whether proteins interact with each other has become a fundamental problem, because proteins usually perform their functions by interacting with other proteins....
Computational Biology Support Vector Machine Databases, Protein Humans Software Protein Interaction Mapping Position-Specific Scoring Matrices
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Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network.

International journal of molecular sciences Jul 12, 2019
Transcription factor binding sites (TFBSs) play an important role in gene expression regulation. Many computational methods for TFBS prediction need sufficient labeled data. However, many transcription factors (TFs) lack labeled data in cell types. W...
Protein Binding Computational Biology Transcription Factors Algorithms Gene Expression Regulation Neural Networks, Computer Organ Specificity Deep Learning Binding Sites ROC Curve
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Chemi-Net: A Molecular Graph Convolutional Network for Accurate Drug Property Prediction.

International journal of molecular sciences Jul 10, 2019
Absorption, distribution, metabolism, and excretion (ADME) studies are critical for drug discovery. Conventionally, these tasks, together with other chemical property predictions, rely on domain-specific feature descriptors, or fingerprints. Followin...
Neural Networks, Computer Drug Discovery Deep Learning Software Reproducibility of Results
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Analysis of the Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach.

International journal of molecular sciences Jun 18, 2019
Breast cancer is a leading cancer type and one of the major health issues faced by women around the world. Some of its major risk factors include body mass index, hormone replacement therapy, family history and germline mutations. Of these risk facto...
Protein Conformation Polymorphism, Single Nucleotide Estrogen Receptor alpha Computational Biology Protein Interaction Domains and Motifs Machine Learning Structure-Activity Relationship Molecular Docking Simulation Mutation Humans Protein Binding Molecular Dynamics Simulation Neural Networks, Computer Tumor Suppressor Protein p53
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Nervous-Like Circuits in the Ribosome Facts, Hypotheses and Perspectives.

International journal of molecular sciences Jun 14, 2019
In the past few decades, studies on translation have converged towards the metaphor of a "ribosome nanomachine"; they also revealed intriguing ribosome properties challenging this view. Many studies have shown that to perform an accurate protein synt...
Ribosomes Humans Neural Networks, Computer Animals Signal Transduction
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Prediction of Enzyme Function Based on Three Parallel Deep CNN and Amino Acid Mutation.

International journal of molecular sciences Jun 11, 2019
During the past decade, due to the number of proteins in PDB database being increased gradually, traditional methods cannot better understand the function of newly discovered enzymes in chemical reactions. Computational models and protein feature rep...
Humans Enzymes Databases, Protein Neural Networks, Computer Mutation Animals Amino Acid Sequence
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