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LAceP specifications


Unique identifier OMICS_10768
Name LAceP
Interface Web user interface
Restrictions to use None
Input data Protein sequence(s)
Input format FASTA, Raw
Computer skills Basic
Stability No
Maintained No


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Publication for LAceP

LAceP in publications

PMCID: 5758781
PMID: 29311662
DOI: 10.1038/s41598-017-18521-5

[…] status of sfp53 was predicted by netphos 2.0 and gps 2.1. acetylation status of the carboxy terminus domain (ctd) was predicted using pail: prediction of acetylation on internal lysines and lacep: lysine acetylation site prediction., cells were irradiated with 200 gy and 2000gy and cross-linked using 3.5% final concentration of formaldehyde for 20 min. at room temperature. […]

PMCID: 4991465
PMID: 26967250
DOI: 10.18632/oncotarget.7966

[…] in support of acetylated cdc25a, in silico software predictors for protein acetylation, such as the acetylation set enrichment-based (aseb) program [] and the lysine acetylation prediction system, lacep [], predict acetylation of cdc25a at several internal lysyl ε-amino groups within the protein. the in silico predictions of internal acetylation are consistent with our demonstration […]

PMCID: 4683166
PMID: 26680990
DOI: 10.1007/s00894-015-2874-z

[…] 1.0 [], netphos 2.0 [], kinasephos 2.0 [], diphos [], phosphosvm [], scansite, musite [], and ppsp []. acetylation sites were predicted using pail [], aseb [], brabsb-phka [], lysacet [], and lacep []. methylation sites were predicted using bpb-ppms [] and masa []. ubiquitination sites were predicted using bdm-pub [], cksaap ubsite [], and ubpred []. sumoylation sites were predicted using […]

PMCID: 4654049
PMID: 26395456
DOI: 10.1093/hmg/ddv390

[…] tractable and accessible model glutamatergic synapse that is well characterized for growth and morphology (,). using homozygotes of a previously isolated hypomorphic allele of dspt2, dspt2/lacep () with a sphingolipid content known to be 2.58% of wild-type levels () we determined that a loss of spt activity generated a reduction in synaptic bouton number, reducing bouton number […]

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LAceP institution(s)
School of Biological Engineering, East China University of Science and Technology, Shanghai, China; Shanghai Center for Bioinformation Technology, Shanghai, China; Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
LAceP funding source(s)
This work was supported by grants from the National Natural Science Foundation of China (61272250, .31100957), the National Basic Research Program of China (2013CB956103), SA-SIBS Scholarship Program, and the National High-Tech R&D Program (863) (2012AA101601).

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