| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bib/ZhangK18 |
| P356 | DOI | 10.1093/BIB/BBX022 |
| P698 | PubMed publication ID | 28334258 |
| P50 | author | Lukasz Kurgan | Q39632517 |
| P2093 | author name string | Jian Zhang | |
| P2860 | cites work | Recent Progress and Future Directions in Protein-Protein Docking | Q22241335 |
| Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
| The Protein Data Bank | Q24515306 | ||
| Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
| Proteins and Their Interacting Partners: An Introduction to Protein-Ligand Binding Site Prediction Methods | Q26773424 | ||
| Modulation of Protein-Protein Interactions for the Development of Novel Therapeutics | Q26775356 | ||
| Computational prediction of protein interfaces: A review of data driven methods | Q26783912 | ||
| Protein-protein interaction networks: probing disease mechanisms using model systems | Q27027554 | ||
| The PSIPRED protein structure prediction server | Q27860953 | ||
| PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs | Q27934099 | ||
| Investigation of atomic level patterns in protein--small ligand interactions | Q28474764 | ||
| Progress and challenges in predicting protein interfaces | Q28602320 | ||
| Wiki-pi: a web-server of annotated human protein-protein interactions to aid in discovery of protein function | Q28710493 | ||
| Reaching for high-hanging fruit in drug discovery at protein-protein interfaces | Q29547258 | ||
| UniProt: a hub for protein information | Q29547457 | ||
| ISIS: interaction sites identified from sequence. | Q30359291 | ||
| Algorithmic approaches to protein-protein interaction site prediction. | Q30372092 | ||
| Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding | Q30387304 | ||
| Structural protein descriptors in 1-dimension and their sequence-based predictions | Q30405174 | ||
| Evaluating template-based and template-free protein-protein complex structure prediction | Q30432648 | ||
| Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest | Q30648471 | ||
| Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures | Q31022492 | ||
| Partner-aware prediction of interacting residues in protein-protein complexes from sequence data | Q31043905 | ||
| Predicting protein-protein interactions in unbalanced data using the primary structure of proteins | Q33548907 | ||
| Accuracy of protein-protein binding sites in high-throughput template-based modeling | Q33549705 | ||
| PRED_PPI: a server for predicting protein-protein interactions based on sequence data with probability assignment | Q33586989 | ||
| Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information | Q33643702 | ||
| Binding site prediction for protein-protein interactions and novel motif discovery using re-occurring polypeptide sequences | Q33920275 | ||
| HomPPI: a class of sequence homology based protein-protein interface prediction methods | Q33935448 | ||
| Protein-protein complex structure predictions by multimeric threading and template recombination | Q33956399 | ||
| A protein sequence meta-functional signature for calcium binding residue prediction | Q34100668 | ||
| SPPS: a sequence-based method for predicting probability of protein-protein interaction partners | Q34146561 | ||
| An overview of recent advances in structural bioinformatics of protein-protein interactions and a guide to their principles | Q34431554 | ||
| Evolutionary profiles improve protein-protein interaction prediction from sequence | Q34461538 | ||
| Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2. | Q34487825 | ||
| Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information | Q34578371 | ||
| Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble | Q34667464 | ||
| Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set. | Q34741281 | ||
| Designing template-free predictor for targeting protein-ligand binding sites with classifier ensemble and spatial clustering | Q35066184 | ||
| Predicting protein-protein interactions based only on sequences information | Q35721356 | ||
| High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder | Q36160593 | ||
| BioLiP: a semi-manually curated database for biologically relevant ligand-protein interactions | Q36491539 | ||
| Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences | Q36676452 | ||
| Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins | Q37148484 | ||
| Computational prediction of DNA-protein interactions: a review | Q37741270 | ||
| Hub promiscuity in protein-protein interaction networks | Q37756001 | ||
| Protein-protein interaction networks and subnetworks in the biology of disease | Q37791993 | ||
| Computational methods for prediction of protein-RNA interactions | Q37948500 | ||
| Protein-protein interaction networks: unraveling the wiring of molecular machines within the cell. | Q38036242 | ||
| Integrative computational modeling of protein interactions | Q38192759 | ||
| Search strategies and evaluation in protein-protein docking: principles, advances and challenges | Q38193268 | ||
| On the use of knowledge-based potentials for the evaluation of models of protein-protein, protein-DNA, and protein-RNA interactions. | Q38195952 | ||
| Predicting protein interface residues using easily accessible on-line resources. | Q38386937 | ||
| A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues. | Q38454986 | ||
| Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters | Q39541532 | ||
| DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences | Q39679865 | ||
| A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites. | Q40461146 | ||
| Prediction of protein-protein interactions using chaos game representation and wavelet transform via the random forest algorithm. | Q40467333 | ||
| Discovering Variable-Length Patterns in Protein Sequences for Protein-Protein Interaction Prediction. | Q40900814 | ||
| Are protein-protein interfaces more conserved in sequence than the rest of the protein surface? | Q41972046 | ||
| Improved prediction of protein binding sites from sequences using genetic algorithm | Q43881326 | ||
| mentha: a resource for browsing integrated protein-interaction networks | Q44046620 | ||
| Simple sequence-based kernels do not predict protein-protein interactions | Q44130078 | ||
| Adaptive compressive learning for prediction of protein-protein interactions from primary sequence | Q44623420 | ||
| Sequence-based prediction of protein-peptide binding sites using support vector machine. | Q45952227 | ||
| PPIevo: protein-protein interaction prediction from PSSM based evolutionary information. | Q45959110 | ||
| TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. | Q45959808 | ||
| A novel method based on new adaptive LVQ neural network for predicting protein-protein interactions from protein sequences | Q46228212 | ||
| Sequence-based prediction of protein interaction sites with an integrative method | Q46537943 | ||
| Protein-DNA interactions: amino acid conservation and the effects of mutations on binding specificity | Q47615859 | ||
| Predicting protein-protein interactions from sequence using correlation coefficient and high-quality interaction dataset | Q47958786 | ||
| Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors | Q48026027 | ||
| Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites. | Q48204770 | ||
| iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets. | Q50729299 | ||
| PETs: A Stable and Accurate Predictor of Protein-Protein Interacting Sites Based on Extremely-Randomized Trees. | Q50916640 | ||
| Predicting metal-binding sites from protein sequence. | Q51565432 | ||
| Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility. | Q51652208 | ||
| A Tutorial on Support Vector Machines for Pattern Recognition | Q56885196 | ||
| Editorial: [Hot Topics: Toward the Design of Drugs on Protein-Protein Interactions] | Q56984166 | ||
| Prediction of protein binding sites and hot spots | Q58428610 | ||
| P577 | publication date | 2017-03-01 | |
| P1433 | published in | Briefings in Bioinformatics | Q4967031 |
| P1476 | title | Review and comparative assessment of sequence-based predictors of protein-binding residues |
| Q99604815 | Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type |
| Q89108392 | High-Throughput Identification of Mammalian Secreted Proteins Using Species-Specific Scheme and Application to Human Proteome |
| Q92661289 | Prediction of Protein-Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets |
| Q33767868 | Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme |
| Q61450768 | Protein-protein binding supersites |
| Q90064926 | SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences |
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