ESpritz: accurate and fast prediction of protein disorder.
about
Order, Disorder, and Everything in BetweenTandem Repeats in Proteins: Prediction Algorithms and Biological RoleAn Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental StudiesComputational approaches for inferring the functions of intrinsically disordered proteinsOf linkers and autochaperones: an unambiguous nomenclature to identify common and uncommon themes for autotransporter secretion.p53 Proteoforms and Intrinsic Disorder: An Illustration of the Protein Structure-Function Continuum ConceptNMRDSP: an accurate prediction of protein shape strings from NMR chemical shifts and sequence dataDisPredict: A Predictor of Disordered Protein Using Optimized RBF KernelA critical evaluation of in silico methods for detection of membrane protein intrinsic disorderOn the encoding of proteins for disordered regions prediction.NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation.PCP-ML: protein characterization package for machine learning.Low complexity and disordered regions of proteins have different structural and amino acid preferences.DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions.Estimation of Position Specific Energy as a Feature of Protein Residues from Sequence Alone for Structural ClassificationLarge-scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universe.Intrinsic disorder in proteins involved in amyotrophic lateral sclerosis.Accurate prediction of protein relative solvent accessibility using a balanced model.FELLS: fast estimator of latent local structure.Intrinsic disorder in spondins and some of their interacting partners.Predicting turns in proteins with a unified model.DNdisorder: predicting protein disorder using boosting and deep networks.The role of balanced training and testing data sets for binary classifiers in bioinformatics.Data on evolution of intrinsically disordered regions of the human kinome and contribution of FAK1 IDRs to cytoskeletal remodeling.Cancer/Testis Antigens: "Smart" Biomarkers for Diagnosis and Prognosis of Prostate and Other CancersPASTA 2.0: an improved server for protein aggregation prediction.MobiDB: a comprehensive database of intrinsic protein disorder annotations.D²P²: database of disordered protein predictions.Genome-scale prediction of proteins with long intrinsically disordered regions.MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins.Prediction of interactions between viral and host proteins using supervised machine learning methods.Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes RuleMoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequencesInterPro in 2017-beyond protein family and domain annotations.Analysis and consensus of currently available intrinsic protein disorder annotation sources in the MobiDB database.Origins of Myc proteins--using intrinsic protein disorder to trace distant relatives.A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.Intrinsically disordered proteins in cellular signalling and regulation.
P2860
Q26739978-0AA5FE56-5E8A-4810-ACE3-D4B208946236Q26781063-A20E08ED-00E1-4E81-963F-967CFE207AB9Q26783068-A2D34C91-40C8-426F-9E8E-8CABB3033027Q26796658-06772067-6AEF-4D96-88E5-78072618CE50Q26798064-4C5276E7-1100-43FE-89F7-AFD5097ABA69Q27011231-D8A84A80-7FE6-41AF-8900-0ADA91A17031Q28079390-722B9499-28D0-49C7-8479-37BAC613544AQ28537929-02994897-341A-4A21-A4A7-36870CCE54F4Q28550591-68554FFF-BFBD-461F-AADE-8696D12D6F99Q30153412-239C9DA1-AA2C-45E1-ACD7-23C24172D408Q30357086-5AC4F575-8CF2-42F9-8567-B8B6ECBF16A8Q30365066-1B545FD6-77FC-4234-A726-1F0112165546Q30368760-C9F6A07B-7340-466D-858D-5A9EBE0B2361Q30369339-BB403ED1-A4BE-4ABB-86AB-92F057B7421DQ30375859-FC784114-7D38-49EE-B45E-02C669D1707AQ30377015-84D89C88-4065-4F05-952D-837EB48B7BF6Q30392517-4BE085F2-AD95-4596-A1DF-C7F9093F6FDDQ30393021-6E068925-6538-4090-9D90-0BEB925D2D77Q30395169-C2ED0380-C2B7-4A7A-BEF7-AB788E3817D0Q30397947-E640FDE7-7768-4081-8E1A-2FC863B0F6D3Q30398453-E775DF9A-1B4B-426E-8AFC-1D7244339287Q30399043-C83C2CB7-043C-4F9F-9117-639739666C86Q30423478-8AA51D62-6B11-44C0-81BB-E92B05B27D35Q30456084-4796B69C-7451-4492-8739-6C366A362FCEQ30656566-1CA64587-9015-47FA-B0B3-CC3EBA47946DQ31150564-A0F755CE-403E-440F-BEE5-71BB0A80F8DDQ33624448-5B64EAEB-5E5D-48A5-9DFD-5FDA9B3EACACQ33860813-A9873A9D-F325-41CE-A6A2-28CFCA7AA28FQ34278790-564249E6-6E38-45F8-9317-6A9ABC993092Q34314929-76F524C5-54A7-4AD7-84CA-8B8FA6EFE3C7Q34353364-9D457EBC-B430-4A21-89DD-9EBE991125FDQ34445775-C4A31697-7EE1-4812-8757-4A6A7E444203Q34466596-398B5F79-0CA2-4A62-A9F0-7F10C73522FCQ34499971-9E581038-D41B-4BC1-8DBC-D1A32B4FE9B6Q34526381-47278FF8-7B42-439F-8405-7F0BDB32A1A4Q34546171-3F2577A0-F229-4CF7-AAE5-C09E0284A63AQ34787939-0FAFD208-7B3F-4496-A49B-11B551B57B08Q35005363-4FEFAC05-7BD1-4F96-883C-D87E370BFAF6Q35142478-21D83140-02DC-47B1-9134-6EC3CA7EE097Q35510300-0BB5C9D6-4A58-4486-A829-57AC6AAC96CB
P2860
ESpritz: accurate and fast prediction of protein disorder.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
ESpritz: accurate and fast prediction of protein disorder.
@en
ESpritz: accurate and fast prediction of protein disorder.
@nl
type
label
ESpritz: accurate and fast prediction of protein disorder.
@en
ESpritz: accurate and fast prediction of protein disorder.
@nl
prefLabel
ESpritz: accurate and fast prediction of protein disorder.
@en
ESpritz: accurate and fast prediction of protein disorder.
@nl
P2093
P2860
P356
P1433
P1476
ESpritz: accurate and fast prediction of protein disorder.
@en
P2093
Alberto J M Martin
Silvio C E Tosatto
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR682
P407
P577
2011-12-20T00:00:00Z