Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
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Title
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2022-01-26
DOI
10.1093/bib/bbac037
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Note: Only part of the references are listed.- Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV
- (2021) Alexey Stukalov et al. NATURE
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- (2020) Haoyang Li et al. Journal of Molecular Cell Biology
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- (2020) Sungjoon Park et al. Scientific Reports
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- (2020) Hao Lv et al. BRIEFINGS IN BIOINFORMATICS
- Evaluation of post-translational modifications in histone proteins: A review on histone modification defects in developmental and neurological disorders
- (2020) Shahin Ramazi et al. JOURNAL OF BIOSCIENCES
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- (2019) Zhenzhen Zou et al. Frontiers in Genetics
- Proteomic approaches beyond expression profiling and PTM analysis
- (2018) Jiaqi Fu et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- HIV latency is reversed by ACSS2-driven histone crotonylation
- (2018) Guochun Jiang et al. JOURNAL OF CLINICAL INVESTIGATION
- Identification of the YEATS domain of GAS41 as a pH-dependent reader of histone succinylation
- (2018) Yi Wang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Microbiota derived short chain fatty acids promote histone crotonylation in the colon through histone deacetylases
- (2018) Rachel Fellows et al. Nature Communications
- Lysine benzoylation is a histone mark regulated by SIRT2
- (2018) He Huang et al. Nature Communications
- Prediction of lysine crotonylation sites by incorporating the composition of k -spaced amino acid pairs into Chou’s general PseAAC
- (2017) Zhe Ju et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
- Chromodomain Protein CDYL Acts as a Crotonyl-CoA Hydratase to Regulate Histone Crotonylation and Spermatogenesis
- (2017) Shumeng Liu et al. MOLECULAR CELL
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- SnapShot: Histone Modifications
- (2014) He Huang et al. CELL
- Identification of 67 Histone Marks and Histone Lysine Crotonylation as a New Type of Histone Modification
- (2011) Minjia Tan et al. CELL
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
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