LAceP: lysine acetylation site prediction using logistic regression classifiers.
about
Protein post-translational modifications: In silico prediction tools and molecular modeling.Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regionsAn Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence CharacteristicsEvidence supporting a critical contribution of intrinsically disordered regions to the biochemical behavior of full-length human HP1γ.Acetylation and deacetylation of Cdc25A constitutes a novel mechanism for modulating Cdc25A functions with implications for cancer.GPS-PAIL: prediction of lysine acetyltransferase-specific modification sites from protein sequences.Proteomic profiling of lysine acetylation in Pseudomonas aeruginosa reveals the diversity of acetylated proteins.A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.Evidence for a radiation-responsive 'p53 gateway' contributing significantly to the radioresistance of lepidopteran insect cells.PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.Structure modeling to function prediction of Uncharacterized Human Protein C15orf41Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
P2860
Q33580119-18C7B673-3D16-4613-A4E8-723EBD04A26EQ35253001-F16550E8-88E4-4E12-9764-3FBD90F1379CQ36018690-5AF12584-FC5C-40EE-9B30-C1C93A6B080FQ36106194-42A55D6C-16E8-47D4-8A13-CA18A3DF271FQ36184154-9032C426-39A1-4C11-B96D-85BD6FA0B1C6Q36381664-815CC8F1-FC3F-458E-9DEA-AC53C9DCDA4BQ37190330-EC690F72-7F24-4D5D-93B9-387EAC4406E5Q37526122-12A12288-E086-4A36-8CC1-2A3A49C0F957Q41031427-EEE5E663-E9D2-44BE-B2ED-B0137CDF22E1Q41534451-AAEA010C-337A-4010-8950-217B3E13F1A6Q47557238-D27F767A-9134-46DC-A641-C846E0C12B65Q48292871-D75B784A-685B-4B33-B0C6-73B5CE559B02Q55503884-6D198E73-3E6F-42E3-83EF-F48976E5768FQ55692275-AAB04DFE-5497-49D5-82EC-7A5DF930BDDDQ57928185-1A1D3515-D60B-4972-8395-A3D2413C0E73Q58740632-91862C21-F76E-4B75-A2A0-CDBCEFE12AD9
P2860
LAceP: lysine acetylation site prediction using logistic regression classifiers.
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
name
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@ast
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@en
type
label
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@ast
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@en
prefLabel
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@ast
LAceP: lysine acetylation site prediction using logistic regression classifiers.
@en
P2093
P2860
P1433
P1476
LAceP: lysine acetylation site prediction using logistic regression classifiers
@en
P2093
Guangyong Zheng
Pingyu Zhang
P2860
P304
P356
10.1371/JOURNAL.PONE.0089575
P407
P50
P577
2014-02-20T00:00:00Z