Sequence-based prediction of protein interaction sites with an integrative method.
about
KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributionsPrediction of protein-protein interaction sites by random forest algorithm with mRMR and IFSPrediction of S-glutathionylation sites based on protein sequencesProgress and challenges in predicting protein interfacesStructural bioinformatics of the interactome.Algorithmic approaches to protein-protein interaction site prediction.Predicting protein-protein binding sites in membrane proteins.Prediction of protein binding sites in protein structures using hidden Markov support vector machine.Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.The development of a universal in silico predictor of protein-protein interactions.A Novel Sample Selection Strategy for Imbalanced Data of Biomedical Event Extraction with Joint Scoring Mechanism.Knowledge-based data analysis comes of age.Prediction of protein-protein interaction sites using an ensemble method.APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.Automatic structure classification of small proteins using random forest.Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information.HomPPI: a class of sequence homology based protein-protein interface prediction methods.Rigorous assessment and integration of the sequence and structure based features to predict hot spots.Protein-protein binding site identification by enumerating the configurationsData mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?Correlating protein hot spot surface analysis using ProBiS with simulated free energies of protein-protein interfacial residuesAn integrative computational framework based on a two-step random forest algorithm improves prediction of zinc-binding sites in proteinsPPIcons: identification of protein-protein interaction sites in selected organisms.Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction.Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks.Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.An ensemble approach for large-scale identification of protein- protein interactions using the alignments of multiple sequences.A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs.Predicting protein interface residues using easily accessible on-line resources.Review and comparative assessment of sequence-based predictors of protein-binding residues.Simplified sequence-based method for ATP-binding prediction using contextual local evolutionary conservation.Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM.A hybrid method for protein-protein interface prediction.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.Human protein-protein interaction prediction by a novel sequence-based co-evolution method: co-evolutionary divergence.Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning.eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands.PDB-scale analysis of known and putative ligand-binding sites with structural sketches.Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction.Protein-protein interface hot spots prediction based on a hybrid feature selection strategy.
P2860
Q24607987-5C1CC019-DCAD-4ACF-B9B1-30997178875AQ28482815-A8BE57E2-AC51-4AB3-A529-36EA1F7E56DAQ28486146-F77C56D6-E89B-45D6-96E4-A885524D6E88Q28602320-9146C769-1399-4184-9DBA-5F3B4141AF75Q30363264-D220560A-3C22-4DAC-9599-5EBC22E649D1Q30372092-B605F92D-8101-4E6F-BFEB-EA3DE27E5EF8Q30381038-21EA3CED-1108-46F1-9BF6-608788B3DBFBQ30899207-FAB5CD06-5CEE-4A6D-8F7E-5025C1D01D52Q31022492-FB42717E-96EE-4DB5-8347-079CC24D3CE0Q31118966-F11DD200-4DA7-4B11-86B7-8875299D0DEDQ31155162-F22A89EA-9678-463E-97C9-CC0AC4460962Q33512264-B4426CE3-4052-4E84-9847-B0D61468C1A3Q33518924-BA7BCAE4-1BC4-4232-94B1-6DD7E37DB294Q33551020-F1DD6493-DCC0-4CA0-A8D8-629471A1E16BQ33622920-FB66E284-A6A3-4D6C-A207-750A89B7388AQ33643702-16A38FA2-D392-4C1B-80DC-ED6F7E13AA79Q33935448-FD552868-A677-4E43-859E-467CE8498A47Q33974356-5CC458DA-AA2B-4B00-B297-42C27569E62BQ34329252-B44F9529-2EAB-483B-806B-4D7DD274946FQ34333936-032CAA84-BECA-4386-A719-96DBA9A14779Q34449500-4B25C0F9-C18D-4AE4-ABE1-87F37DAE5878Q34482705-B830338B-1B3D-475D-BDAF-21D04D8FF15EQ34752392-E4AAF3BE-F239-4337-9E13-D4EEBD359127Q37359162-706F748C-8732-41BD-A73C-6B70698CD959Q37364210-0B551EFC-BFDF-4994-BD43-3DF60A636EBBQ37465361-4440F9B3-2D12-453E-A977-4BB7A7585668Q37706320-C91941BD-720F-40F2-BF1B-E11B2D19BF27Q38041494-A41B5877-AAB1-4980-8267-4AF92E26B159Q38386937-CE5C2BB7-847D-4047-9141-49146679056CQ38740946-A04A9078-AB5E-4593-9C4F-11473CF8D6A0Q38900044-206F8143-CF0F-4762-8AC6-E5F176F1C6C4Q39581679-0CB9FCAE-2D17-46D2-ABCF-B80F14EC2DC6Q39721633-876014C4-280D-48E8-812A-637C438D6645Q40534208-73FD6120-C356-4C63-9984-32E84F50AA1EQ43460248-1BEDCBB5-4895-44C3-8AAA-FA8806D2A358Q45953710-E2043F24-05F1-4F0A-A149-1D5D94C96313Q45958946-19577371-879E-4D75-B8F8-F21194BDDF1BQ46988348-DED7934C-B74E-4358-B72F-35B4A843828EQ48096578-127570C3-0BDB-465C-8C76-AC7C1A30D2C6Q48241983-3B6520D3-9542-4B48-98A5-5E12F04705D5
P2860
Sequence-based prediction of protein interaction sites with an integrative method.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Sequence-based prediction of protein interaction sites with an integrative method.
@en
Sequence-based prediction of protein interaction sites with an integrative method.
@nl
type
label
Sequence-based prediction of protein interaction sites with an integrative method.
@en
Sequence-based prediction of protein interaction sites with an integrative method.
@nl
prefLabel
Sequence-based prediction of protein interaction sites with an integrative method.
@en
Sequence-based prediction of protein interaction sites with an integrative method.
@nl
P2860
P356
P1433
P1476
Sequence-based prediction of protein interaction sites with an integrative method.
@en
P2093
Jong Cheol Jeong
Xue-wen Chen
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP039
P407
P577
2009-01-19T00:00:00Z