Literature DB >> 32324217

MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.

Duolin Wang1,2, Dongpeng Liu2, Jiakang Yuchi2, Fei He1,3, Yuexu Jiang1,2, Siteng Cai2, Jingyi Li3, Dong Xu1,2.   

Abstract

MusiteDeep is an online resource providing a deep-learning framework for protein post-translational modification (PTM) site prediction and visualization. The predictor only uses protein sequences as input and no complex features are needed, which results in a real-time prediction for a large number of proteins. It takes less than three minutes to predict for 1000 sequences per PTM type. The output is presented at the amino acid level for the user-selected PTM types. The framework has been benchmarked and has demonstrated competitive performance in PTM site predictions by other researchers. In this webserver, we updated the previous framework by utilizing more advanced ensemble techniques, and providing prediction and visualization for multiple PTMs simultaneously for users to analyze potential PTM cross-talks directly. Besides prediction, users can interactively review the predicted PTM sites in the context of known PTM annotations and protein 3D structures through homology-based search. In addition, the server maintains a local database providing pre-processed PTM annotations from Uniport/Swiss-Prot for users to download. This database will be updated every three months. The MusiteDeep server is available at https://www.musite.net. The stand-alone tools for locally using MusiteDeep are available at https://github.com/duolinwang/MusiteDeep_web.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2020        PMID: 32324217      PMCID: PMC7319475          DOI: 10.1093/nar/gkaa275

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  31 in total

1.  UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View.

Authors:  Emmanuel Boutet; Damien Lieberherr; Michael Tognolli; Michel Schneider; Parit Bansal; Alan J Bridge; Sylvain Poux; Lydie Bougueleret; Ioannis Xenarios
Journal:  Methods Mol Biol       Date:  2016

2.  CSS-Palm 2.0: an updated software for palmitoylation sites prediction.

Authors:  Jian Ren; Longping Wen; Xinjiao Gao; Changjiang Jin; Yu Xue; Xuebiao Yao
Journal:  Protein Eng Des Sel       Date:  2008-08-27       Impact factor: 1.650

Review 3.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

4.  RF-Hydroxysite: a random forest based predictor for hydroxylation sites.

Authors:  Hamid D Ismail; Robert H Newman; Dukka B Kc
Journal:  Mol Biosyst       Date:  2016-07-19

5.  GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs.

Authors:  Qi Zhao; Yubin Xie; Yueyuan Zheng; Shuai Jiang; Wenzhong Liu; Weiping Mu; Zexian Liu; Yong Zhao; Yu Xue; Jian Ren
Journal:  Nucleic Acids Res       Date:  2014-05-31       Impact factor: 16.971

6.  A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

Authors:  Emilio Fenoy; Jose M G Izarzugaza; Vanessa Jurtz; Søren Brunak; Morten Nielsen
Journal:  Bioinformatics       Date:  2019-04-01       Impact factor: 6.937

7.  NGL Viewer: a web application for molecular visualization.

Authors:  Alexander S Rose; Peter W Hildebrand
Journal:  Nucleic Acids Res       Date:  2015-04-29       Impact factor: 16.971

8.  PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile.

Authors:  Yu Liu; Minghui Wang; Jianing Xi; Fenglin Luo; Ao Li
Journal:  Int J Biol Sci       Date:  2018-05-22       Impact factor: 6.580

9.  AWESOME: a database of SNPs that affect protein post-translational modifications.

Authors:  Yang Yang; Xiating Peng; Pingting Ying; Jianbo Tian; Jiaoyuan Li; Juntao Ke; Ying Zhu; Yajie Gong; Danyi Zou; Nan Yang; Xiaoyang Wang; Shufang Mei; Rong Zhong; Jing Gong; Jiang Chang; Xiaoping Miao
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  qPhos: a database of protein phosphorylation dynamics in humans.

Authors:  Kai Yu; Qingfeng Zhang; Zekun Liu; Qi Zhao; Xiaolong Zhang; Yan Wang; Zi-Xian Wang; Ying Jin; Xiaoxing Li; Ze-Xian Liu; Rui-Hua Xu
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  33 in total

Review 1.  Current status of PTMs structural databases: applications, limitations and prospects.

Authors:  Alexandre G de Brevern; Joseph Rebehmed
Journal:  Amino Acids       Date:  2022-01-12       Impact factor: 3.520

2.  Identification of phosphorylation site using S-padding strategy based convolutional neural network.

Authors:  Yanjiao Zeng; Dongning Liu; Yang Wang
Journal:  Health Inf Sci Syst       Date:  2022-09-17

3.  In silico identification of the rare-coding pathogenic mutations and structural modeling of human NNAT gene associated with anorexia nervosa.

Authors:  Muhammad Bilal Azmi; Unaiza Naeem; Arisha Saleem; Areesha Jawed; Haroon Usman; Shamim Akhtar Qureshi; M Kamran Azim
Journal:  Eat Weight Disord       Date:  2022-06-02       Impact factor: 3.008

4.  Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.

Authors:  Subash C Pakhrin; Suresh Pokharel; Hiroto Saigo; Dukka B Kc
Journal:  Methods Mol Biol       Date:  2022

5.  iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features.

Authors:  Iman Dehzangi; Alok Sharma; Swakkhar Shatabda
Journal:  Methods Mol Biol       Date:  2022

6.  Scrutinizing Deleterious Nonsynonymous SNPs and Their Effect on Human POLD1 Gene.

Authors:  Md Nazmul Islam Bappy; Anindita Roy; Md Gulam Rabbany Rabbi; Nusrat Jahan; Fahmida Akther Chowdhury; Syeda Farjana Hoque; Emran Hossain Sajib; Parvez Khan; Ferdaus Mohd Altaf Hossain; Kazi Md Ali Zinnah
Journal:  Genet Res (Camb)       Date:  2022-05-11       Impact factor: 1.375

Review 7.  Computational cancer neoantigen prediction: current status and recent advances.

Authors:  G Fotakis; Z Trajanoski; D Rieder
Journal:  Immunooncol Technol       Date:  2021-11-20

8.  In silico comprehensive analysis of coding and non-coding SNPs in human mTOR protein.

Authors:  Tahirah Yasmin
Journal:  PLoS One       Date:  2022-07-05       Impact factor: 3.752

Review 9.  Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics.

Authors:  Rahul Khetan; Robin Curtis; Charlotte M Deane; Johannes Thorling Hadsund; Uddipan Kar; Konrad Krawczyk; Daisuke Kuroda; Sarah A Robinson; Pietro Sormanni; Kouhei Tsumoto; Jim Warwicker; Andrew C R Martin
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

10.  DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites.

Authors:  Meenal Chaudhari; Niraj Thapa; Hamid Ismail; Sandhya Chopade; Doina Caragea; Maja Köhn; Robert H Newman; Dukka B Kc
Journal:  Front Cell Dev Biol       Date:  2021-06-24
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