Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
about
Systematic analysis and prediction of pupylation sites in prokaryotic proteinsTale of a multifaceted co-activator, hADA3: from embryogenesis to cancer and beyondRegulation of translesion DNA synthesis: Posttranslational modification of lysine residues in key proteinsRegulation of L1 expression and retrotransposition by melatonin and its receptor: implications for cancer risk associated with light exposure at nightKinase-Independent Small-Molecule Inhibition of JAK-STAT SignalingMutation-Structure-Function Relationship Based Integrated Strategy Reveals the Potential Impact of Deleterious Missense Mutations in Autophagy Related Proteins on Hepatocellular Carcinoma (HCC): A Comprehensive Informatics ApproachCrysalis: an integrated server for computational analysis and design of protein crystallization.Evidence supporting the existence of a NUPR1-like family of helix-loop-helix chromatin proteins related to, yet distinct from, AT hook-containing HMG proteinsKnowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sitesPrediction of protein phosphorylation sites by using the composition of k-spaced amino acid pairs.Using weakly conserved motifs hidden in secretion signals to identify type-III effectors from bacterial pathogen genomes.The G32E functional variant reduces activity of PPARD by nuclear export and post-translational modification in pigsCharacterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities.LAceP: lysine acetylation site prediction using logistic regression classifiers.CarSPred: a computational tool for predicting carbonylation sites of human proteins.Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.Mitochondrial E3 ligase March5 maintains stemness of mouse ES cells via suppression of ERK signalling.UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.Evidence supporting a critical contribution of intrinsically disordered regions to the biochemical behavior of full-length human HP1γ.DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.The regulation of SOX7 and its tumor suppressive role in breast cancer.CUL4A ubiquitin ligase: a promising drug target for cancer and other human diseasesTXNDC5, a newly discovered disulfide isomerase with a key role in cell physiology and pathology.Controlling PTEN (Phosphatase and Tensin Homolog) Stability: A DOMINANT ROLE FOR LYSINE 66.Prediction and identification of the effectors of heterotrimeric G proteins in rice (Oryza sativa L.).ESA-UbiSite: accurate prediction of human ubiquitination sites by identifying a set of effective negatives.SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties.Variants in TRIM22 That Affect NOD2 Signaling Are Associated With Very-Early-Onset Inflammatory Bowel Disease.Diverse Regulation of the CreA Carbon Catabolite Repressor in Aspergillus nidulans.Rice_Phospho 1.0: a new rice-specific SVM predictor for protein phosphorylation sites.A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.Structural propensities of human ubiquitination sites: accessibility, centrality and local conformation.Modelling the structure of full-length Epstein-Barr virus nuclear antigen 1.RUBI: rapid proteomic-scale prediction of lysine ubiquitination and factors influencing predictor performance.Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites.ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences.Computational identification of protein S-sulfenylation sites by incorporating the multiple sequence features information.
P2860
Q26830109-D38D34BB-6266-47BB-A8E7-6E3BC0310F2FQ28067222-2F9176A9-F301-44F9-BC11-2C99E56EBF4DQ28087183-09B62CB8-F39B-4274-893C-DF2750C744C5Q28241693-A9B0C77F-EEC5-4086-B5E0-4F1D21DB7D97Q28828592-08D9AB75-677B-4FAC-A48C-04C67ED1C6A2Q29248366-0777CA31-72E2-4CBC-A3CA-B1404D052333Q30384803-E2274521-3C36-4691-9980-1CD686DA30CBQ30838258-8688A51D-FF0C-4F79-BCB1-3D9C54055F92Q33915991-73897DA9-AB31-471C-8B1D-98C027D4FDF9Q34460299-249E9061-8705-4A5C-A452-AAE8E7E28E62Q34599134-125AC038-1576-4C4A-88D7-F631406AFD5FQ34995169-64B5C128-2B33-499C-9050-D44FE9B2CAF3Q35092926-3A791473-EF9A-45D1-BB47-9897E2FD16BDQ35107659-4A303645-755F-44BF-8664-9232FCB5C97AQ35367780-45C1446C-60B1-4AA5-AA77-F539BC78532BQ35665107-600C2C16-90D9-4B1D-8343-7A1A53E3C0CDQ35692687-A0ED7245-8559-4554-9522-5C1B870D8057Q35906319-A1AA265D-562B-4E41-9012-F8D3CA09DB45Q35945457-14639A1B-04FC-4FD7-B93C-D06A3F4727F8Q36018690-DAE89455-E719-4EE1-ACD7-BC4D78912496Q36381664-7FD1BFA3-C8F9-4566-AD28-033537169B3EQ36713581-4BB809DF-E700-45EB-9BBF-4E6583FBB5DAQ36958992-452C12AB-52BD-4F7C-B779-86B0A65B1970Q37271894-6106C597-DC31-4E79-84B2-CE27A8935CF1Q37609233-A6020532-13E8-4423-9DE8-9CE7AAF11783Q38294871-894194B2-1E49-46E0-A29A-226E32748F3BQ38758536-480A6A47-5847-4F92-957F-CCFF5731964CQ38896029-518254C1-E1B2-4B7D-8055-1D9BD11693B7Q39035021-B276C263-0725-4748-AE4B-4FDD0B8E1AE9Q40135382-8C17C929-F19F-460E-BED4-D847DB08997EQ40533140-874C878F-F210-45A4-9291-8459A7C91E7EQ41091197-DC7F5965-1893-4997-8DB4-EF889D3674F1Q41327061-FEAABAC3-15A8-4869-A8D7-6516FD1C00BCQ41534451-02AB76AA-AD35-43C2-B2EA-14D3455024C7Q41984174-51CA900E-21E7-4C63-9F8D-7A61858C6C0FQ42206678-D572CD87-859C-4827-AA39-2C7B473A7959Q44802504-778593CF-8A6C-4524-B5C5-61ED94973476Q45959294-1FCD565E-62F1-4604-891E-E00C4923C845Q46042823-95A821E4-F967-4172-8AEB-20FC4A20EDF6Q47678785-71BF3C31-D98E-4EEA-91E2-300AC89C76CF
P2860
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
description
2011 nî lūn-bûn
@nan
2011 թուականին հրատարակուած գիտական յօդուած
@hyw
2011 թվականին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@ast
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en-gb
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@nl
type
label
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@ast
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en-gb
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@nl
altLabel
Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs
@en
prefLabel
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@ast
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en-gb
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@nl
P2093
P2860
P3181
P1433
P1476
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
@en
P2093
Chuan Wang
Ren-Xiang Yan
Xiao-Feng Wang
Yong-Zi Chen
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0022930
P407
P50
P577
2011-01-01T00:00:00Z