AIMC Topic: Proteins

Clear Filters Showing 1361 to 1370 of 1984 articles

PRIdictor: Protein-RNA Interaction predictor.

Bio Systems Dec 1, 2015
Several computational methods have been developed to predict RNA-binding sites in protein, but its inverse problem (i.e., predicting protein-binding sites in RNA) has received much less attention. Furthermore, most methods that predict RNA-binding si...
Computational Biology Support Vector Machine RNA Binding Sites Ribonucleotides Proteins Amino Acids
View on PubMed DOI

Machine Learning: How Much Does It Tell about Protein Folding Rates?

PloS one Nov 25, 2015
The prediction of protein folding rates is a necessary step towards understanding the principles of protein folding. Due to the increasing amount of experimental data, numerous protein folding models and predictors of protein folding rates have been ...
Machine Learning Proteins Reproducibility of Results Protein Folding
View on PubMed DOI

Accurate refinement of docked protein complexes using evolutionary information and deep learning.

Journal of bioinformatics and computational biology Nov 24, 2015
One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes a...
Protein Conformation Proteins Neural Networks, Computer Databases, Protein Molecular Docking Simulation
View on PubMed DOI

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 ...
Protein Interaction Mapping Protein Conformation Binding Sites Computational Biology Proteins Machine Learning Reproducibility of Results Models, Molecular Databases, Protein Protein Binding Workflow
View on PubMed DOI

Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics.

PloS one Nov 10, 2015
We introduce a new representation and feature extraction method for biological sequences. Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins (amino-acid sequences) and gene-vectors (Gene...
Support Vector Machine Proteins Natural Language Processing Amino Acid Sequence Databases, Protein Genomics Computational Biology Proteomics Nuclear Pore Complex Proteins Intrinsically Disordered Proteins Protein Structure, Secondary
View on PubMed DOI

Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.

Journal of computational chemistry Oct 27, 2015
Protein fold recognition is an important and essential step in determining tertiary structure of a protein in biological science. In this study, a model termed NiRecor is developed for recognizing protein folds based on artificial neural networks inc...
Protein Folding Proteins Protein Conformation Computational Biology Evolution, Molecular Neural Networks, Computer
View on PubMed DOI

Systematic Analysis and Prediction of In Situ Cross Talk of O-GlcNAcylation and Phosphorylation.

BioMed research international Oct 27, 2015
Reversible posttranslational modification (PTM) plays a very important role in biological process by changing properties of proteins. As many proteins are multiply modified by PTMs, cross talk of PTMs is becoming an intriguing topic and draws much at...
Amino Acid Motifs Mice Acylation Rats Phosphorylation Evolution, Molecular Protein Processing, Post-Translational Humans Dogs Animals Proteins Gene Ontology
View on PubMed DOI

A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.

Bioinformatics (Oxford, England) Oct 17, 2015
SUMMARY: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly com...
Humans Software Proteins Semantics Molecular Sequence Annotation Databases, Factual Computational Biology Gene Ontology Genes
View on PubMed DOI

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...
Sequence Analysis, Protein Drug Discovery Support Vector Machine Pharmaceutical Preparations Protein Interaction Mapping Humans Proteins Algorithms
View on PubMed DOI

Correct machine learning on protein sequences: a peer-reviewing perspective.

Briefings in bioinformatics Sep 26, 2015
Machine learning methods are becoming increasingly popular to predict protein features from sequences. Machine learning in bioinformatics can be powerful but carries also the risk of introducing unexpected biases, which may lead to an overestimation ...
Proteins Amino Acid Sequence Machine Learning Algorithms Computational Biology Humans
View on PubMed DOI
Popular Topics
Recent Journals