| scholarly article | Q13442814 |
| P50 | author | Zengyan Xie | Q61119136 |
| P2093 | author name string | Kunxian Shu | |
| Xiaoya Deng | |||
| P2860 | cites work | Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 |
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| A hot spot of binding energy in a hormone-receptor interface | Q29547547 | ||
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| Comparison of polymer induced and solvent induced trypsin denaturation: the role of hydrophobicity | Q87199229 | ||
| Sequence-based prediction of protein-protein interaction sites with L1-logreg classifier | Q87212279 | ||
| Amino acid encoding methods for protein sequences: a comprehensive review and assessment | Q93176094 | ||
| Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2. | Q34487825 | ||
| PAIRpred: partner-specific prediction of interacting residues from sequence and structure | Q35045263 | ||
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| Principles of protein-protein interactions: what are the preferred ways for proteins to interact? | Q37114752 | ||
| Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids | Q37465361 | ||
| Review and comparative assessment of sequence-based predictors of protein-binding residues | Q38740946 | ||
| DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks. | Q38780735 | ||
| Advancing the prediction accuracy of protein-protein interactions by utilizing evolutionary information from position-specific scoring matrix and ensemble classifier | Q39020532 | ||
| Application of Machine Learning Approaches for Protein-protein Interactions Prediction | Q39322042 | ||
| A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites. | Q40461146 | ||
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| Prediction of Protein-Protein Interaction Sites Based on Naive Bayes Classifier | Q42648656 | ||
| Protein-protein interaction investigated by steered molecular dynamics: the TCR-pMHC complex | Q42942958 | ||
| ProMate: a structure based prediction program to identify the location of protein-protein binding sites | Q44819444 | ||
| A fast method to predict protein interaction sites from sequences | Q45011836 | ||
| IntPred: a structure-based predictor of protein-protein interaction sites. | Q45945287 | ||
| Prediction-based fingerprints of protein-protein interactions. | Q45965622 | ||
| Sequence-based prediction of protein interaction sites with an integrative method | Q46537943 | ||
| Searching for protein-protein interaction sites and docking by the methods of molecular dynamics, grid scoring, and the pairwise interaction potential of amino acid residues | Q46568963 | ||
| Prediction of protein-protein interaction sites using support vector machines | Q47869771 | ||
| Protein-protein interaction site prediction in Homo sapiens and E. coli using an interaction-affinity based membership function in fuzzy SVM. | Q47912020 | ||
| Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites. | Q48204770 | ||
| Improved prediction of protein-protein binding sites using a support vector machines approach | Q48507116 | ||
| Prediction of protein interaction sites from sequence profile and residue neighbor list | Q49265986 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 2 | |
| P921 | main subject | protein-protein interaction | Q896177 |
| convolutional neural network | Q17084460 | ||
| P577 | publication date | 2020-01-11 | |
| P1433 | published in | International Journal of Molecular Sciences | Q3153277 |
| P1476 | title | Prediction of Protein-Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets | |
| P478 | volume | 21 |
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