ADPredict: ADP-ribosylation site prediction based on physicochemical and structural descriptors-Reference-Cited by-同舟云学术

ADPredict: ADP-ribosylation site prediction based on physicochemical and structural descriptors

Published:2018-03-15 Issue:15 Volume:34 Page:2566-2574
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Lo Monte Matteo¹^ORCID,Manelfi Candida²,Gemei Marica²³,Corda Daniela¹,Beccari Andrea Rosario¹²

Affiliation:

1. Institute of Protein Biochemistry, National Research Council, Naples, Italy

2. Dompé Farmaceutici SpA, L'Aquila

3. Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Milano, Italy

Funder

AIRC

Italian Association for Cancer Research

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/15/2566/25230751/bty159.pdf

Reference49 articles.

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2. The protein data bank;Berman;Nucleic Acids Res,2000

3. Combining higher-energy collision dissociation and electron-transfer/higher-energy collision dissociation fragmentation in a product-dependent manner confidently assigns proteomewide ADP-ribose acceptor sites;Bilan;Anal. Chem,2017

4. New quantitative mass spectrometry approaches reveal different ADP-ribosylation phases dependent on the levels of oxidative stress;Bilan;Mol. Cell Proteomics,2017

5. Serine ADP-ribosylation depends on HPF1;Bonfiglio;Mol. Cell,2017

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