EDITORIAL
Published on 14 Jul 2021
Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications
doi 10.3389/fcell.2021.728127
- 974 views
- 1 citation
- Frontiers in Cell and Developmental Biology
- Cellular Biochemistry
- Research Topics
- Computational Resources for Understanding Biomacromolecular Covalent Modifications
Computational Resources for Understanding Biomacromolecular Covalent Modifications
12k
Total downloads
72k
Total views and downloads
Submit your idea
Select the journal/section where you want your idea to be submitted:
Articles
ORIGINAL RESEARCH
Published on 24 Jun 2021
DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites
doi 10.3389/fcell.2021.662983
- 4,175 views
- 14 citations
ORIGINAL RESEARCH
Published on 23 Mar 2021
ActiveDriverDB: Interpreting Genetic Variation in Human and Cancer Genomes Using Post-translational Modification Sites and Signaling Networks (2021 Update)
doi 10.3389/fcell.2021.626821
- 3,619 views
- 19 citations
TECHNOLOGY AND CODE
Published on 23 Feb 2021
pCysMod: Prediction of Multiple Cysteine Modifications Based on Deep Learning Framework
doi 10.3389/fcell.2021.617366
- 8,108 views
- 41 citations
METHODS
Published on 01 Dec 2020
DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites
doi 10.3389/fcell.2020.594587
- 2,504 views
- 18 citations
ORIGINAL RESEARCH
Published on 10 Nov 2020
PTMsnp: A Web Server for the Identification of Driver Mutations That Affect Protein Post-translational Modification
doi 10.3389/fcell.2020.593661
- 6,859 views
- 13 citations
ORIGINAL RESEARCH
Published on 30 Sep 2020
Incorporating Deep Learning With Word Embedding to Identify Plant Ubiquitylation Sites
doi 10.3389/fcell.2020.572195
- 7,384 views
- 27 citations
ORIGINAL RESEARCH
Published on 09 Sep 2020
DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction
doi 10.3389/fcell.2020.580217
- 8,295 views
- 19 citations
ORIGINAL RESEARCH
Published on 11 Aug 2020
m6A Reader: Epitranscriptome Target Prediction and Functional Characterization of N6-Methyladenosine (m6A) Readers
doi 10.3389/fcell.2020.00741
- 13,054 views
- 38 citations
ORIGINAL RESEARCH
Published on 28 Jul 2020
iPromoter-5mC: A Novel Fusion Decision Predictor for the Identification of 5-Methylcytosine Sites in Genome-Wide DNA Promoters
doi 10.3389/fcell.2020.00614
- 8,698 views
- 33 citations
Published in
Frontiers in Cell and Developmental Biology
- Cellular Biochemistry
Participating Journals
Frontiers in Molecular Biosciences
- 3.9 impact factor
- 7.2 citescore
Impact
- 72kTopic views
- 59kArticle views
- 12kArticle downloads