scholarly article | Q13442814 |
P50 | author | Jinyan Li | Q37372382 |
P2093 | author name string | Peng Chen | |
P2860 | cites work | Neural network ensembles | Q23748037 |
The Protein Data Bank | Q24515306 | ||
A simple method for displaying the hydropathic character of a protein | Q26778481 | ||
Pacific Symposium on Biocomputing | Q27714250 | ||
Principles of protein-protein interactions | Q27860855 | ||
The atomic structure of protein-protein recognition sites | Q27861113 | ||
Some factors in the interpretation of protein denaturation | Q28202994 | ||
Analysing six types of protein-protein interfaces | Q28218092 | ||
Identification of an evolutionarily conserved domain in human lens epithelium-derived growth factor/transcriptional co-activator p75 (LEDGF/p75) that binds HIV-1 integrase | Q28282487 | ||
Prediction of protein-protein interaction sites in sequences and 3D structures by random forests | Q28474551 | ||
Database of homology-derived protein structures and the structural meaning of sequence alignment | Q29614393 | ||
SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions | Q29615882 | ||
The universal protein resource (UniProt) | Q29617074 | ||
SHARP2: protein-protein interaction predictions using patch analysis. | Q30354186 | ||
ISIS: interaction sites identified from sequence. | Q30359291 | ||
PSAIA - protein structure and interaction analyzer | Q30368735 | ||
Prediction of interface residues in protein-protein complexes by a consensus neural network method: test against NMR data | Q33221093 | ||
3D complex: a structural classification of protein complexes | Q33263952 | ||
Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins | Q33283745 | ||
Conservation and relative importance of residues across protein-protein interfaces | Q34098437 | ||
Structural basis for the recognition between HIV-1 integrase and transcriptional coactivator p75. | Q34161123 | ||
The structural dependence of amino acid hydrophobicity parameters | Q34280826 | ||
Analysis of protein-protein interaction sites using surface patches | Q34439363 | ||
How proteins get in touch: interface prediction in the study of biomolecular complexes. | Q37239933 | ||
Progress and challenges in predicting protein-protein interaction sites | Q37433331 | ||
Insights into protein-protein interfaces using a Bayesian network prediction method | Q42595726 | ||
ASEdb: a database of alanine mutations and their effects on the free energy of binding in protein interactions | Q43569524 | ||
Kinetic linked-function analysis of the multiligand interactions on Mg(2+)-activated yeast pyruvate kinase | Q43774075 | ||
Improved prediction of protein binding sites from sequences using genetic algorithm | Q43881326 | ||
Dissecting subunit interfaces in homodimeric proteins | Q44632584 | ||
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 | ||
Prediction of potential protein-protein interaction sites from amino acid sequence. Identification of a fibrin polymerization site. | Q45096855 | ||
Prediction-based fingerprints of protein-protein interactions. | Q45965622 | ||
Exploiting sequence and structure homologs to identify protein-protein binding sites | Q46059424 | ||
Sequence-based prediction of protein interaction sites with an integrative method | Q46537943 | ||
Statistical analysis and prediction of protein-protein interfaces | Q46807317 | ||
Prediction of protein-protein interaction sites using patch analysis | Q47627162 | ||
A dissection of specific and non-specific protein-protein interfaces | Q47737233 | ||
Modelling interaction sites in protein domains with interaction profile hidden Markov models | Q48430243 | ||
An evolution based classifier for prediction of protein interfaces without using protein structures | Q48497053 | ||
Improved prediction of protein-protein binding sites using a support vector machines approach | Q48507116 | ||
Distinguishing structural and functional restraints in evolution in order to identify interaction sites | Q48552674 | ||
Prediction of protein interaction sites from sequence profile and residue neighbor list | Q49265986 | ||
Prediction of protein B-factors using multi-class bounded SVM. | Q51922128 | ||
Struct2net: integrating structure into protein-protein interaction prediction. | Q51929103 | ||
Predicting protein interaction sites from residue spatial sequence profile and evolution rate. | Q51957448 | ||
Predicted protein-protein interaction sites from local sequence information. | Q52015326 | ||
Prediction of protein--protein interaction sites in heterocomplexes with neural networks. | Q52045413 | ||
Residue frequencies and pairing preferences at protein-protein interfaces. | Q52066467 | ||
In silico two-hybrid system for the selection of physically interacting protein pairs. | Q54547905 | ||
Sum versus vote fusion in multiple classifier systems | Q56814212 | ||
Morphology of protein-protein interfaces. | Q64992199 | ||
Specific versus non-specific contacts in protein crystals | Q73958826 | ||
Dissecting protein-protein recognition sites | Q77926233 | ||
Combining Pattern Classifiers | Q108748323 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | molecular evolution | Q856529 |
hydrophobicity | Q41854968 | ||
P304 | page(s) | 402 | |
P577 | publication date | 2010-07-28 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information | |
P478 | volume | 11 |
Q51009573 | A novel feature extraction scheme for prediction of protein-protein interaction sites. |
Q45959496 | Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences. |
Q42334070 | DrugECs: An Ensemble System with Feature Subspaces for Accurate Drug-Target Interaction Prediction. |
Q33935448 | HomPPI: a class of sequence homology based protein-protein interface prediction methods |
Q34741195 | LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone |
Q31043905 | Partner-aware prediction of interacting residues in protein-protein complexes from sequence data |
Q92237040 | Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks |
Q41183106 | Prediction of Protein Hotspots from Whole Protein Sequences by a Random Projection Ensemble System. |
Q92661289 | Prediction of Protein-Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets |
Q36051137 | Prediction of heme binding residues from protein sequences with integrative sequence profiles |
Q51508103 | PresCont: predicting protein-protein interfaces utilizing four residue properties. |
Q28602320 | Progress and challenges in predicting protein interfaces |
Q38740946 | Review and comparative assessment of sequence-based predictors of protein-binding residues |
Q90064926 | SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences |
Q33756620 | Scoring docking conformations using predicted protein interfaces. |
Q50034179 | Special Protein Molecules Computational Identification |
Q45958946 | eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands. |
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