AIMC Topic: Protein Interaction Mapping

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Extraction of Protein-Protein Interaction from Scientific Articles by Predicting Dominant Keywords.

BioMed research international Dec 10, 2015
For the automatic extraction of protein-protein interaction information from scientific articles, a machine learning approach is useful. The classifier is generated from training data represented using several features to decide whether a protein pai...
Peer Review, Research Humans Data Mining Machine Learning Protein Interaction Mapping
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Towards Extracting Supporting Information About Predicted Protein-Protein Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Dec 7, 2015
One of the goals of relation extraction is to identify protein-protein interactions (PPIs) in biomedical literature. Current systems are capturing binary relations and also the direction and type of an interaction. Besides assisting in the curation P...
Databases, Protein Algorithms Natural Language Processing Protein Interaction Maps Data Mining Proteins Humans Semantics Protein Interaction Mapping
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A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 3, 2015
BACKGROUND: Proteins have the fundamental ability to selectively bind to other molecules and perform specific functions through such interactions, such as protein-ligand binding. Accurate prediction of protein residues that physically bind to ligands...
Machine Learning Protein Binding Binding Sites Proteins Algorithms Protein Interaction Mapping Data Interpretation, Statistical Models, Chemical Sequence Analysis, Protein Molecular Docking Simulation Ligands Pattern Recognition, Automated
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Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.

The Journal of membrane biology Nov 12, 2015
Accurately predicting protein-protein interaction sites (PPIs) is currently a hot topic because it has been demonstrated to be very useful for understanding disease mechanisms and designing drugs. Machine-learning-based computational approaches have ...
Reproducibility of Results Protein Binding Computational Biology Machine Learning Workflow Protein Conformation Binding Sites Proteins Databases, Protein Models, Molecular Protein Interaction Mapping
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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 Nov 11, 2015
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...
Sequence Analysis, Protein Models, Chemical Pattern Recognition, Automated Membrane Transport Proteins Binding Sites Substrate Specificity Protein Interaction Mapping Molecular Docking Simulation Protein Binding Support Vector Machine Algorithms
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Computational probing protein-protein interactions targeting small molecules.

Bioinformatics (Oxford, England) Sep 28, 2015
MOTIVATION: With the booming of interactome studies, a lot of interactions can be measured in a high throughput way and large scale datasets are available. It is becoming apparent that many different types of interactions can be potential drug target...
Protein Interaction Mapping Sequence Analysis, Protein Support Vector Machine Proteins Pharmaceutical Preparations Humans Algorithms Drug Discovery
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IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.

IEEE/ACM transactions on computational biology and bioinformatics Sep 25, 2015
Proteins carry out their function in a cell through interactions with other proteins. A large scale protein-protein interaction (PPI) network of an organism provides static yet an essential structure of interactions, which is valuable clue for unders...
Humans Animals Protein Interaction Maps Systems Biology Fungi Proteins Gene Ontology Plants Protein Interaction Mapping
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An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

IEEE/ACM transactions on computational biology and bioinformatics Sep 14, 2015
In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words. To represent words usin...
Protein Interaction Mapping Biomedical Research Models, Theoretical Unsupervised Machine Learning Natural Language Processing Data Mining Semantics
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Network fingerprint: a knowledge-based characterization of biomedical networks.

Scientific reports Aug 26, 2015
It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical research...
Computer Simulation Animals Proteome Humans Signal Transduction Pattern Recognition, Automated Algorithms Models, Biological Protein Interaction Mapping Knowledge Bases
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A roadmap to multifactor dimensionality reduction methods.

Briefings in bioinformatics Jun 24, 2015
Complex diseases are defined to be determined by multiple genetic and environmental factors alone as well as in interactions. To analyze interactions in genetic data, many statistical methods have been suggested, with most of them relying on statisti...
Algorithms Computer Simulation Pattern Recognition, Automated Models, Statistical Protein Interaction Mapping Multifactor Dimensionality Reduction
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