| scholarly article | Q13442814 |
| P50 | author | Antonio Sze-To | Q89558422 |
| P2093 | author name string | Gary L Johanning | |
| Andrew K C Wong | |||
| P2860 | cites work | Cation-pi interactions in protein-protein interfaces | Q45279404 |
| Different protein-protein interface patterns predicted by different machine learning methods. | Q45943660 | ||
| Prediction of residue-residue contact matrix for protein-protein interaction with Fisher score features and deep learning. | Q45951009 | ||
| Modelling interaction sites in protein domains with interaction profile hidden Markov models | Q48430243 | ||
| Aligning and Clustering Patterns to Reveal the Protein Functionality of Sequences. | Q51091230 | ||
| Hydrophobic regions on protein surfaces: definition based on hydration shell structure and a quick method for their computation. | Q51649073 | ||
| Residue frequencies and pairing preferences at protein-protein interfaces. | Q52066467 | ||
| Hydrophobicity of amino acid residues in globular proteins. | Q54456958 | ||
| Extremely randomized trees | Q56221779 | ||
| Energetic contribution of side chain hydrogen bonding to the stability of staphylococcal nuclease | Q71786248 | ||
| Sequence co-evolution gives 3D contacts and structures of protein complexes | Q21128770 | ||
| The Protein Data Bank | Q24515306 | ||
| 3did: identification and classification of domain-based interactions of known three-dimensional structure | Q24607786 | ||
| A simple method for displaying the hydropathic character of a protein | Q26778481 | ||
| Computational prediction of protein interfaces: A review of data driven methods | Q26783912 | ||
| Progress and challenges in predicting protein interfaces | Q28602320 | ||
| Algorithmic approaches to protein-protein interaction site prediction. | Q30372092 | ||
| Partner-aware prediction of interacting residues in protein-protein complexes from sequence data | Q31043905 | ||
| Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information. | Q33668749 | ||
| ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers | Q33760362 | ||
| Binding site prediction for protein-protein interactions and novel motif discovery using re-occurring polypeptide sequences | Q33920275 | ||
| Small-molecule inhibitors of protein-protein interactions: progressing toward the reality | Q34263719 | ||
| Surface and inside volumes in globular proteins | Q34302010 | ||
| Characteristics of protein residue-residue contacts and their application in contact prediction | Q34459744 | ||
| PAIRpred: partner-specific prediction of interacting residues from sequence and structure | Q35045263 | ||
| Small-molecule inhibitors of the MDM2-p53 protein-protein interaction (MDM2 Inhibitors) in clinical trials for cancer treatment. | Q35087851 | ||
| InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale | Q36643290 | ||
| Conserved cysteine residues provide a protein-protein interaction surface in dual oxidase (DUOX) proteins. | Q36666229 | ||
| Prediction of contact matrix for protein-protein interaction | Q36761229 | ||
| Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction. | Q37359162 | ||
| Progress and challenges in predicting protein-protein interaction sites | Q37433331 | ||
| Template-based structure modeling of protein-protein interactions | Q37699214 | ||
| Protein interactions in 3D: from interface evolution to drug discovery | Q38010878 | ||
| Predicting protein interface residues using easily accessible on-line resources. | Q38386937 | ||
| Partitioning and correlating subgroup characteristics from Aligned Pattern Clusters. | Q39788275 | ||
| Thermodynamics of interactions between amino acid side chains: experimental differentiation of aromatic-aromatic, aromatic-aliphatic, and aliphatic-aliphatic side-chain interactions in water. | Q40141771 | ||
| Free energy balance in protein folding | Q40539456 | ||
| Protein binding versus protein folding: the role of hydrophilic bridges in protein associations | Q41313934 | ||
| Protein-protein docking benchmark version 3.0. | Q41891375 | ||
| Protein–protein docking benchmark version 4.0 | Q42093255 | ||
| Aromatic-proline interactions: electronically tunable CH/π interactions | Q42971573 | ||
| i-Patch: interprotein contact prediction using local network information | Q43989926 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | scikit-learn | Q1026367 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | machine learning | Q2539 |
| deep learning | Q197536 | ||
| P304 | page(s) | 14841 | |
| P577 | publication date | 2018-10-04 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction Prediction | |
| P478 | volume | 8 |
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