DELPHI: accurate deep ensemble model for protein interaction sites prediction
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
DELPHI: accurate deep ensemble model for protein interaction sites prediction
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-08-20
DOI
10.1093/bioinformatics/btaa750
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of Protein–Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets
- (2020) Zengyan Xie et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
- (2019) Jian Zhang et al. BIOINFORMATICS
- Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network
- (2019) Buzhong Zhang et al. NEUROCOMPUTING
- Modeling aspects of the language of life through transfer-learning protein sequences
- (2019) Michael Heinzinger et al. BMC BIOINFORMATICS
- Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
- (2018) Xiaoying Wang et al. BIOINFORMATICS
- A Survey of Predictive Modeling on Imbalanced Domains
- (2016) Paula Branco et al. ACM COMPUTING SURVEYS
- Sequence-based prediction of protein-peptide binding sites using support vector machine
- (2016) Ghazaleh Taherzadeh et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Template-based identification of protein–protein interfaces using e FindSite PPI
- (2016) Surabhi Maheshwari et al. METHODS
- iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
- (2016) Jianhua Jia et al. MOLECULES
- Protein–protein interaction sites prediction by ensembling SVM and sample-weighted random forests
- (2016) Zhi-Sen Wei et al. NEUROCOMPUTING
- A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites
- (2015) Zhi-Sen Wei et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Prediction of Protein–Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures
- (2015) Guang-Hui Liu et al. JOURNAL OF MEMBRANE BIOLOGY
- Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning
- (2015) Surabhi Maheshwari et al. JOURNAL OF MOLECULAR RECOGNITION
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- A hybrid method for protein-protein interface prediction
- (2015) Howook Hwang et al. PROTEIN SCIENCE
- Local Geometry and Evolutionary Conservation of Protein Surfaces Reveal the Multiple Recognition Patches in Protein-Protein Interactions
- (2015) Elodie Laine et al. PLoS Computational Biology
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
- (2015) Ehsaneddin Asgari et al. PLoS One
- Sequence-based prediction of protein–protein interaction sites with L1-logreg classifier
- (2014) Kaustubh Dhole et al. JOURNAL OF THEORETICAL BIOLOGY
- Accurate single-sequence prediction of solvent accessible surface area using local and global features
- (2014) Eshel Faraggi et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Fast prediction of protein–protein interaction sites based on Extreme Learning Machines
- (2013) Debby D. Wang et al. NEUROCOMPUTING
- CD-HIT: accelerated for clustering the next-generation sequencing data
- (2012) Limin Fu et al. BIOINFORMATICS
- BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions
- (2012) Jianyi Yang et al. NUCLEIC ACIDS RESEARCH
- PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
- (2011) David T. Jones et al. BIOINFORMATICS
- HomPPI: a class of sequence homology based protein-protein interface prediction methods
- (2011) Li C Xue et al. BMC BIOINFORMATICS
- Binding Site Prediction for Protein-Protein Interactions and Novel Motif Discovery using Re-occurring Polypeptide Sequences
- (2011) Adam Amos-Binks et al. BMC BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein–protein interaction sites
- (2010) Yoichi Murakami et al. BIOINFORMATICS
- Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
- (2010) Peng Chen et al. BMC BIOINFORMATICS
- Interactome under construction
- (2010) Laura Bonetta NATURE
- The Structural Basis of Peptide-Protein Binding Strategies
- (2010) Nir London et al. STRUCTURE
- ANCHOR: web server for predicting protein binding regions in disordered proteins
- (2009) Z. Dosztanyi et al. BIOINFORMATICS
- Sequence-based prediction of protein interaction sites with an integrative method
- (2009) Xue-wen Chen et al. BIOINFORMATICS
- Improved Prediction of Protein Binding Sites from Sequences Using Genetic Algorithm
- (2009) Xiuquan Du et al. PROTEIN JOURNAL
- Protein-protein docking benchmark version 3.0
- (2008) Howook Hwang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started