Sequence-Based Prediction of Protein Protein Interaction Using a Deep-Learning Algorithm

BMC Bioinformatics- United Kingdom

doi 10.1186/s12859-017-1700-2

Full Text

Abstract

Available in

Date

Authors

Publisher

Springer Science and Business Media LLC

Related search

Accelerated Transfer Learning for Protein-Protein Interaction Prediction

English

Deep Learning Approaches for Protein Structure Prediction

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Prediction of Stock Value Using Pattern Matching Algorithm Based on Deep Learning

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

A Protein-Protein Interaction Extraction Approach Based on Deep Neural Network

International Journal of Data Mining and Bioinformatics
Information SystemsGeneticsMolecular BiologyInformation SciencesBiochemistryLibrary
2016English

Prediction of Protein-Protein Interaction by Metasample-Based Sparse Representation

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Multimodal Deep Representation Learning for Protein Interaction Identification and Protein Family Classification

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Sequence-Based Prediction of Protein-Peptide Binding Sites Using Support Vector Machine

Journal of Computational Chemistry
Computational MathematicsChemistry
2016English

Identification of Potential Interaction Networks Using Sequence-Based Searches for Conserved Protein-Protein Interactions or "Interologs"

Genome Research
Genetics
2001English

RPI-SE: A Stacking Ensemble Learning Framework for ncRNA-protein Interactions Prediction Using Sequence Information

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy