Predicting protein function from sequence and structural data.
about
The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applicationsA large-scale evaluation of computational protein function predictionCOFACTOR: an accurate comparative algorithm for structure-based protein function annotationSCWRL and MolIDE: computer programs for side-chain conformation prediction and homology modelingProFunc: a server for predicting protein function from 3D structure.Discovery and structural characterization of a novel glycosidase family of marine originProbabilistic approach to predicting substrate specificity of methyltransferasesComputational recognition and analysis of hitherto uncharacterized nucleotide cyclase-like proteins in bacteriaA multidimensional strategy to detect polypharmacological targets in the absence of structural and sequence homologyDrug discovery using chemical systems biology: identification of the protein-ligand binding network to explain the side effects of CETP inhibitorsFINDSITE: a threading-based approach to ligand homology modelingFLORA: a novel method to predict protein function from structure in diverse superfamiliesTargetMine, an integrated data warehouse for candidate gene prioritisation and target discoveryDe-DUFing the DUFs: Deciphering distant evolutionary relationships of Domains of Unknown Function using sensitive homology detection methods.Searching the protein structure database for ligand-binding site similarities using CPASS v.2A low-polynomial algorithm for assembling clusters of orthologous groups from intergenomic symmetric best matchesFunctional annotation and structural characterization of a novel lactonase hydrolyzing D-xylono-1,4-lactone-5-phosphate and L-arabino-1,4-lactone-5-phosphate.Solution structure of the Escherichia coli protein ydhR: a putative mono-oxygenase.The impact of structural genomics: the first quindecennialStructure prediction of partial-length protein sequences.Identification of similar regions of protein structures using integrated sequence and structure analysis tools.Protein structure database search and evolutionary classification.Rapid detection of similarity in protein structure and function through contact metric distancesTowards fully automated structure-based function prediction in structural genomics: a case studyRecent advances in functional region prediction by using structural and evolutionary information - Remaining problems and future extensionsHow accurate and statistically robust are catalytic site predictions based on closeness centrality?eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape.A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand binding sitesPrediction of enzyme function based on 3D templates of evolutionarily important amino acids.The application of FAST-NMR for the identification of novel drug discovery targetsSequence-structure relationship study in all-α transmembrane proteins using an unsupervised learning approach.Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools.A threading-based method for the prediction of DNA-binding proteins with application to the human genome.A unified genetic, computational and experimental framework identifies functionally relevant residues of the homing endonuclease I-BmoI.FragBag, an accurate representation of protein structure, retrieves structural neighbors from the entire PDB quickly and accurately.Functional region prediction with a set of appropriate homologous sequences--an index for sequence selection by integrating structure and sequence information with spatial statistics.Structure based function prediction of proteins using fragment library frequency vectors.Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study analyzing the neurotransmitter/Na+ symporter family.Improving structure-based function prediction using molecular dynamics.An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework
P2860
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P2860
Predicting protein function from sequence and structural data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Predicting protein function from sequence and structural data.
@ast
Predicting protein function from sequence and structural data.
@en
type
label
Predicting protein function from sequence and structural data.
@ast
Predicting protein function from sequence and structural data.
@en
prefLabel
Predicting protein function from sequence and structural data.
@ast
Predicting protein function from sequence and structural data.
@en
P1476
Predicting protein function from sequence and structural data.
@en
P2093
James D Watson
P304
P356
10.1016/J.SBI.2005.04.003
P577
2005-06-01T00:00:00Z