AIMC Journal:
International journal of molecular sciences

Showing 411 to 420 of 423 articles

An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.

International journal of molecular sciences Aug 16, 2017
The prediction of drug-target interactions (DTIs) via computational technology plays a crucial role in reducing the experimental cost. A variety of state-of-the-art methods have been proposed to improve the accuracy of DTI predictions. In this paper,...
Predictive Value of Tests Models, Biological Drug Interactions Wavelet Analysis Humans Animals Support Vector Machine
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Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects.

International journal of molecular sciences Jun 7, 2017
Lipid metabolism has been suggested to be a major pathophysiological mechanism of multiple sclerosis (MS). With the increasing knowledge about lipid signaling, acquired data become increasingly complex making bioinformatics necessary in lipid researc...
Lipid Metabolism Multiple Sclerosis Informatics Eicosanoids Humans Ceramides Machine Learning Lysophospholipids Biomarkers Lipids Case-Control Studies
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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Humans Machine Learning Disease Outbreaks Influenza in Birds Birds Influenza A virus Retrospective Studies Reproducibility of Results Animals Zoonoses Viral Tropism Host Specificity Influenza, Human Host-Pathogen Interactions Viral Proteins Models, Theoretical Orthomyxoviridae Infections Databases, Genetic Area Under Curve
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Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

International journal of molecular sciences Feb 1, 2017
Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial pathogens for subunit vaccine design. RV has become firmly established following the development of...
Epitope Mapping Vaccines, Subunit Mutagenesis Antigens, Bacterial Bacterial Vaccines Machine Learning ROC Curve Computational Biology Support Vector Machine Area Under Curve Bacterial Proteins Epitopes Humans
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Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition.

International journal of molecular sciences Dec 16, 2016
Knowledge on protein folding has a profound impact on understanding the heterogeneity and molecular function of proteins, further facilitating drug design. Predicting the 3D structure (fold) of a protein is a key problem in molecular biology. Determi...
Computational Biology Protein Folding Protein Structure, Tertiary Humans Machine Learning Drug Design
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Prediction of Protein-Protein Interactions by Evidence Combining Methods.

International journal of molecular sciences Nov 22, 2016
Most cellular functions involve proteins' features based on their physical interactions with other partner proteins. Sketching a map of protein-protein interactions (PPIs) is therefore an important inception step towards understanding the basics of c...
Humans Computer Simulation Animals Models, Molecular Mice Saccharomyces cerevisiae Gene Ontology Data Mining Support Vector Machine Computational Biology Drosophila melanogaster Protein Interaction Mapping High-Throughput Nucleotide Sequencing Molecular Sequence Annotation Escherichia coli Datasets as Topic Protein Interaction Domains and Motifs Proteins Arabidopsis
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Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.

International journal of molecular sciences Oct 26, 2016
Information about the interface sites of Protein-Protein Interactions (PPIs) is useful for many biological research works. However, despite the advancement of experimental techniques, the identification of PPI sites still remains as a challenging tas...
Animals Protein Interaction Maps Protein Interaction Mapping Proteins Humans Amino Acids Protein Interaction Domains and Motifs Databases, Protein Machine Learning Models, Biological Intrinsically Disordered Proteins
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Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks.

International journal of molecular sciences Oct 11, 2016
The dependency between the primary structure of HIV envelope glycoproteins (ENV) and the neutralization data for given antibodies is very complicated and depends on a large number of factors, such as the binding affinity of a given antibody for a giv...
Magnetic Resonance Spectroscopy HIV Envelope Protein gp120 Humans Neural Networks, Computer Antibodies, Neutralizing HIV Infections HIV-1 Databases, Protein Inhibitory Concentration 50 Models, Molecular Crystallography, X-Ray
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Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications.

International journal of molecular sciences Aug 11, 2016
Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many other tasks. This was made possible by the ad...
Quantitative Structure-Activity Relationship Humans Neural Networks, Computer Algorithms Animals Computational Biology
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A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.

International journal of molecular sciences Jul 27, 2016
Understanding protein-protein interactions is a key challenge in biochemistry. In this work, we describe a more accurate methodology to predict Hot-Spots (HS) in protein-protein interfaces from their native complex structure compared to previous publ...
Protein Interaction Mapping Protein Interaction Domains and Motifs Computational Biology Humans Proteins Machine Learning Databases, Protein Algorithms Protein Conformation
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