scholarly article | Q13442814 |
P356 | DOI | 10.1016/S0014-5793(03)00456-3 |
P698 | PubMed publication ID | 12782323 |
P50 | author | Burkhard Rost | Q4998995 |
P2093 | author name string | Yanay Ofran | |
P2860 | cites work | Prediction of protein-protein interaction sites using patch analysis | Q47627162 |
A novel approach to prediction of the 3-dimensional structures of protein backbones by neural networks | Q47818051 | ||
Birth of scale-free molecular networks and the number of distinct DNA and protein domains per genome. | Q48337100 | ||
Prediction of protein--protein interaction sites in heterocomplexes with neural networks. | Q52045413 | ||
In silico two-hybrid system for the selection of physically interacting protein pairs. | Q54547905 | ||
Similarity of phylogenetic trees as indicator of protein-protein interaction. | Q55035526 | ||
Insights into SCF ubiquitin ligases from the structure of the Skp1-Skp2 complex | Q24290565 | ||
KEGG: kyoto encyclopedia of genes and genomes | Q24515297 | ||
The Protein Data Bank | Q24515306 | ||
Correlated mutations and residue contacts in proteins | Q25891592 | ||
Principles of protein-protein interactions | Q27860855 | ||
The Protein Data Bank: a computer-based archival file for macromolecular structures | Q27860989 | ||
The Pathway Tools software | Q28217270 | ||
Analysing six types of protein-protein interfaces | Q28218092 | ||
Prediction of protein secondary structure at better than 70% accuracy | Q29547323 | ||
Detecting protein function and protein-protein interactions from genome sequences | Q29547473 | ||
Twilight zone of protein sequence alignments | Q29614388 | ||
PHD: predicting one-dimensional protein structure by profile-based neural networks | Q29614390 | ||
Database of homology-derived protein structures and the structural meaning of sequence alignment | Q29614393 | ||
A combined algorithm for genome-wide prediction of protein function | Q29615998 | ||
Determination of protein function, evolution and interactions by structural genomics. | Q30328302 | ||
Review: protein secondary structure prediction continues to rise. | Q30328632 | ||
Conservation and prediction of solvent accessibility in protein families | Q30419557 | ||
MULTIPROSPECTOR: an algorithm for the prediction of protein-protein interactions by multimeric threading | Q31113169 | ||
From genome to function | Q31926469 | ||
ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information | Q32181106 | ||
WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction | Q33611515 | ||
Interrogating protein interaction networks through structural biology | Q34027140 | ||
The helical hydrophobic moment: a measure of the amphiphilicity of a helix | Q34056948 | ||
Correlated sequence-signatures as markers of protein-protein interaction | Q34087861 | ||
Computational methods for the prediction of protein interactions | Q34139922 | ||
Correlated mutations contain information about protein-protein interaction | Q34437670 | ||
A knowledge model for analysis and simulation of regulatory networks. | Q38523736 | ||
Structure-derived potentials and protein simulations | Q41052933 | ||
On the role of electrostatic interactions in the design of protein-protein interfaces | Q44021056 | ||
Whole-proteome interaction mining | Q44260441 | ||
InterPreTS: protein interaction prediction through tertiary structure. | Q44304723 | ||
A fast method to predict protein interaction sites from sequences | Q45011836 | ||
P433 | issue | 1-3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | protein-protein interaction | Q896177 |
P304 | page(s) | 236-239 | |
P577 | publication date | 2003-06-01 | |
P1433 | published in | FEBS Letters | Q1388051 |
P1476 | title | Predicted protein-protein interaction sites from local sequence information. | |
P478 | volume | 544 |
Q50939444 | A hidden Markov model for predicting protein interfaces. |
Q39721633 | A hybrid method for protein-protein interface prediction |
Q51009573 | A novel feature extraction scheme for prediction of protein-protein interaction sites. |
Q40022724 | Accurate refinement of docked protein complexes using evolutionary information and deep learning |
Q43043650 | An algorithm for predicting protein-protein interaction sites: Abnormally exposed amino acid residues and secondary structure elements |
Q43044221 | An integrated view on the role of receptor mosaics at perisynaptic level: focus on adenosine A(2A), dopamine D(2), cannabinoid CB(1), and metabotropic glutamate mGlu(5) receptors |
Q64938870 | An integration of deep learning with feature embedding for protein-protein interaction prediction. |
Q36294114 | Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery |
Q33920275 | Binding site prediction for protein-protein interactions and novel motif discovery using re-occurring polypeptide sequences |
Q37711235 | Bioinformatic tools for identifying disease gene and SNP candidates |
Q47584313 | Blind predictions of protein interfaces by docking calculations in CAPRI |
Q37141790 | Bridging protein local structures and protein functions |
Q35225190 | CRF-based models of protein surfaces improve protein-protein interaction site predictions |
Q33826778 | Calmodulation meta-analysis: predicting calmodulin binding via canonical motif clustering. |
Q36693877 | Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking |
Q38992640 | Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes |
Q57009010 | Computational Prediction of Protein–Protein Interactions |
Q88719341 | Conversion of Protein Active Regions into Peptidomimetic Therapeutic Leads Using Backbone Cyclization and Cycloscan - How to Do it Yourself! |
Q34449500 | Correlating protein hot spot surface analysis using ProBiS with simulated free energies of protein-protein interfacial residues |
Q42263220 | Development of a novel bioinformatics tool for in silico validation of protein interactions. |
Q51859820 | Development of an affinity evaluation and prediction system by using the shape complementarity characteristic between proteins. |
Q42679127 | Discovering motif pairs at interaction sites from protein sequences on a proteome-wide scale |
Q41807344 | Electrostatic properties of protein-protein complexes |
Q42958224 | Evaluation of features for catalytic residue prediction in novel folds |
Q33283745 | Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins |
Q45957494 | Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches. |
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Q33935448 | HomPPI: a class of sequence homology based protein-protein interface prediction methods |
Q30359291 | ISIS: interaction sites identified from sequence. |
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Q38914293 | Networks of ProteinProtein Interactions: From Uncertainty to Molecular Details. |
Q39939285 | Optimization of electrostatic interactions in protein-protein complexes |
Q30368735 | PSAIA - protein structure and interaction analyzer |
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Q38386937 | Predicting protein interface residues using easily accessible on-line resources. |
Q30381038 | Predicting protein-protein binding sites in membrane proteins. |
Q34655310 | Prediction of DNA-binding residues from sequence |
Q58041627 | Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks |
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Q30899207 | Prediction of protein binding sites in protein structures using hidden Markov support vector machine |
Q51642468 | Prediction of protein interaction hot spots using rough set-based multiple criteria linear programming |
Q37091467 | Prediction of protein-protein interaction sites by means of ensemble learning and weighted feature descriptor |
Q28482815 | Prediction of protein-protein interaction sites by random forest algorithm with mRMR and IFS |
Q45953710 | Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning. |
Q28474551 | Prediction of protein-protein interaction sites in sequences and 3D structures by random forests |
Q33518924 | Prediction of protein-protein interaction sites using an ensemble method |
Q51508103 | PresCont: predicting protein-protein interfaces utilizing four residue properties. |
Q28602320 | Progress and challenges in predicting protein interfaces |
Q34163491 | Protein docking by the interface structure similarity: how much structure is needed? |
Q33956399 | Protein-protein complex structure predictions by multimeric threading and template recombination |
Q28469249 | Protein-protein interaction hotspots carved into sequences |
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Q28469024 | Protein-protein interactions more conserved within species than across species |
Q38124417 | Protonation and pK changes in protein-ligand binding. |
Q51990013 | Reduced bio-basis function neural networks for protease cleavage site prediction. |
Q34631704 | SNAP: predict effect of non-synonymous polymorphisms on function |
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