Prediction of protease substrates using sequence and structure features.
about
ModBase, a database of annotated comparative protein structure models, and associated resourcesProtease signalling: the cutting edgeSequence and conformational specificity in substrate recognition: several human Kunitz protease inhibitor domains are specific substrates of mesotrypsin.Structural determinants of limited proteolysis.Determinants of Macromolecular Specificity from Proteomics-Derived Peptide Substrate Data.Structural interrogation of phosphoproteome identified by mass spectrometry reveals allowed and disallowed regions of phosphoconformation.Calpain cleavage prediction using multiple kernel learning.In silico prediction of the granzyme B degradomeCaspase cleavage sites in the human proteome: CaspDB, a database of predicted substrates.Global identification of peptidase specificity by multiplex substrate profiling.PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites.Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequenceQuantitative MS-based enzymology of caspases reveals distinct protein substrate specificities, hierarchies, and cellular roles.Reprogramming Caspase-7 Specificity by Regio-Specific Mutations and Selection Provides Alternate Solutions for Substrate Recognition.Bioinformatic approaches for predicting substrates of proteases.A review of statistical methods for prediction of proteolytic cleavage.Mass spectrometry-based proteomics strategies for protease cleavage site identification.Proteomic identification of protease cleavage sites: cell-biological and biomedical applications.Proteolysis mediated by cysteine cathepsins and legumain-recent advances and cell biological challenges.Prediction of substrate specificity in NS3/4A serine protease by biased sequence search threading.MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory.Sequence-derived structural features driving proteolytic processing.Specificity of a protein-protein interface: local dynamics direct substrate recognition of effector caspases.Global substrate specificity profiling of post-translational modifying enzymes.Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets.Protein Homology Modelling
P2860
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P2860
Prediction of protease substrates using sequence and structure features.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Prediction of protease substrates using sequence and structure features.
@ast
Prediction of protease substrates using sequence and structure features.
@en
type
label
Prediction of protease substrates using sequence and structure features.
@ast
Prediction of protease substrates using sequence and structure features.
@en
prefLabel
Prediction of protease substrates using sequence and structure features.
@ast
Prediction of protease substrates using sequence and structure features.
@en
P2093
P2860
P356
P1433
P1476
Prediction of protease substrates using sequence and structure features.
@en
P2093
Charles S Craik
Daniel R Hostetter
David T Barkan
James A Wells
Sami Mahrus
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ267
P407
P577
2010-05-26T00:00:00Z