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HEMEsPred: Structure-Based Ligand-Specific Heme Binding Residues Prediction by Using Fast-Adaptive Ensemble Learning Scheme.

IEEE/ACM transactions on computational biology and bioinformatics Oct 4, 2016
Heme is an essential biomolecule that widely exists in numerous extant organisms. Accurately identifying heme binding residues (HEMEs) is of great importance in disease progression and drug development. In this study, a novel predictor named HEMEsPre...
Algorithms Protein Binding Computational Biology Machine Learning Software Heme Binding Sites Protein Structure, Secondary Databases, Protein Models, Molecular
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Tele-rehabilitation using in-house wearable ankle rehabilitation robot.

Assistive technology : the official journal of RESNA Sep 30, 2016
This article explores wide-ranging potential of the wearable ankle robot for in-house rehabilitation. The presented robot has been conceptualized following a brief analysis of the existing technologies, systems, and solutions for in-house physical an...
Exercise Therapy Ankle Robotics Telerehabilitation Humans Software Virtual Reality Recovery of Function Wearable Electronic Devices
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A modular architecture for transparent computation in recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2016
Computation is classically studied in terms of automata, formal languages and algorithms; yet, the relation between neural dynamics and symbolic representations and operations is still unclear in traditional eliminative connectionism. Therefore, we s...
Neural Networks, Computer Software Algorithms
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Correcting the impact of docking pose generation error on binding affinity prediction.

BMC bioinformatics Sep 22, 2016
BACKGROUND: Pose generation error is usually quantified as the difference between the geometry of the pose generated by the docking software and that of the same molecule co-crystallised with the considered protein. Surprisingly, the impact of this e...
Nuclear Proteins Transcription Factors Ligands Molecular Docking Simulation Protein Conformation Humans Protein Binding Pyrazines Software
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MiRNATIP: a SOM-based miRNA-target interactions predictor.

BMC bioinformatics Sep 22, 2016
BACKGROUND: MicroRNAs (miRNAs) are small non-coding RNA sequences with regulatory functions to post-transcriptional level for several biological processes, such as cell disease progression and metastasis. MiRNAs interact with target messenger RNA (mR...
Software Algorithms Animals Humans Artificial Intelligence MicroRNAs Computational Biology Binding Sites Caenorhabditis elegans RNA, Messenger
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Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction.

TheScientificWorldJournal Sep 21, 2016
Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. The process of software development life cycle...
Animal Distribution Algorithms Animals Neural Networks, Computer Software
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OntoBrowser: a collaborative tool for curation of ontologies by subject matter experts.

Bioinformatics (Oxford, England) Sep 6, 2016
UNLABELLED: The lack of controlled terminology and ontology usage leads to incomplete search results and poor interoperability between databases. One of the major underlying challenges of data integration is curating data to adhere to controlled term...
Data Curation Software Databases, Factual Biological Ontologies Vocabulary, Controlled Peer Review
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The Next Era: Deep Learning in Pharmaceutical Research.

Pharmaceutical research Sep 6, 2016
Over the past decade we have witnessed the increasing sophistication of machine learning algorithms applied in daily use from internet searches, voice recognition, social network software to machine vision software in cameras, phones, robots and self...
Machine Learning Software Algorithms Neural Networks, Computer Drug Discovery Pharmaceutical Research
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An open-source solution for advanced imaging flow cytometry data analysis using machine learning.

Methods (San Diego, Calif.) Sep 2, 2016
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differe...
Humans Machine Learning Software Flow Cytometry Workflow Cell Count Jurkat Cells Mitosis Interphase Reproducibility of Results Image Cytometry Image Processing, Computer-Assisted
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InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology.

BMC genomics Aug 31, 2016
BACKGROUND: The Gene Ontology (GO) has been used in high-throughput omics research as a major bioinformatics resource. The hierarchical structure of GO provides users a convenient platform for biological information abstraction and hypothesis testing...
Software Gene Regulatory Networks Computational Biology Algorithms Genes, Bacterial Gene Ontology
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