AIMC Topic: Protein Interaction Mapping

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A machine learning approach for ranking clusters of docked protein-protein complexes by pairwise cluster comparison.

Proteins Jan 20, 2017
Reliable identification of near-native poses of docked protein-protein complexes is still an unsolved problem. The intrinsic heterogeneity of protein-protein interactions is challenging for traditional biophysical or knowledge based potentials and th...
Computational Biology Cluster Analysis Proteins Research Design Molecular Docking Simulation Protein Binding Thermodynamics Protein Interaction Mapping Structural Homology, Protein Benchmarking Protein Conformation Binding Sites Machine Learning Software
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PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Jan 10, 2017
Self interacting proteins (SIPs) play an important role in various aspects of the structural and functional organization of the cell. Detecting SIPs is one of the most important issues in current molecular biology. Although a large number of SIPs dat...
Support Vector Machine Amino Acid Sequence Protein Interaction Mapping Saccharomyces cerevisiae Proteins Humans Computer Simulation Computational Biology
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An improved method for functional similarity analysis of genes based on Gene Ontology.

BMC systems biology Dec 23, 2016
BACKGROUND: Measures of gene functional similarity are essential tools for gene clustering, gene function prediction, evaluation of protein-protein interaction, disease gene prioritization and other applications. In recent years, many gene functional...
Humans Computational Biology Fungal Proteins Gene Ontology Protein Interaction Mapping
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Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.

BMC systems biology Dec 23, 2016
BACKGROUND: Protein-protein interactions (PPIs) are essential to most biological processes. Since bioscience has entered into the era of genome and proteome, there is a growing demand for the knowledge about PPI network. High-throughput biological te...
Protein Interaction Mapping Helicobacter pylori Humans Amino Acid Sequence Computational Biology Saccharomyces cerevisiae
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Multichannel Convolutional Neural Network for Biological Relation Extraction.

BioMed research international Dec 7, 2016
The plethora of biomedical relations which are embedded in medical logs (records) demands researchers' attention. Previous theoretical and practical focuses were restricted on traditional machine learning techniques. However, these methods are suscep...
Drug Interactions Data Mining Protein Interaction Mapping Neural Networks, Computer Algorithms Machine Learning Biomedical Research Support Vector Machine
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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...
Saccharomyces cerevisiae Drosophila melanogaster Molecular Sequence Annotation Data Mining High-Throughput Nucleotide Sequencing Datasets as Topic Arabidopsis Gene Ontology Protein Interaction Mapping Protein Interaction Domains and Motifs Mice Computational Biology Support Vector Machine Escherichia coli Proteins Models, Molecular Humans Computer Simulation Animals
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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 Humans Proteins Intrinsically Disordered Proteins Machine Learning Databases, Protein Protein Interaction Mapping Amino Acids Protein Interaction Domains and Motifs Models, Biological
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Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes.

BMC genomics Oct 18, 2016
BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly characterized by short term memory loss. Presently no effective therapeutic treatments exist that can completely cure this disease. The cause of Alzheim...
Molecular Sequence Annotation Gene Ontology Protein Interaction Mapping Gene Expression Profiling Genetic Predisposition to Disease Genetic Association Studies Computational Biology Alzheimer Disease Datasets as Topic Humans Machine Learning Reproducibility of Results
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Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2016
The identification of essential proteins in protein-protein interaction (PPI) networks is of great significance for understanding cellular processes. With the increasing availability of large-scale PPI data, numerous centrality measures based on netw...
Protein Interaction Mapping Transcriptome Proteins Yeasts Databases, Protein Molecular Sequence Annotation Gene Ontology
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PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation.

IEEE transactions on nanobioscience Sep 20, 2016
Identifying overlapping protein complexes in protein-protein interaction (PPI) networks can provide insight into cellular functional organization and thus elucidate underlying cellular mechanisms. Recently, various algorithms for protein complexes de...
Humans Algorithms Computational Biology Fuzzy Logic Databases, Protein Protein Interaction Mapping
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