Deep learning for mining protein data
The recent emergence of deep learning to characterize complex patterns of protein big data
reveals its potential to address the classic challenges in the field of protein data mining …
reveals its potential to address the classic challenges in the field of protein data mining …
Protein phosphorylation database and prediction tools
MX Zhao, Q Chen, F Li, S Fu, B Huang… - Briefings in …, 2023 - academic.oup.com
Protein phosphorylation, one of the main protein post-translational modifications, is required
for regulating various life activities. Kinases and phosphatases that regulate protein …
for regulating various life activities. Kinases and phosphatases that regulate protein …
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
World widely, Fungal infections have become a serious issue for human beings. Fungal
infections normally happen once invading fungus appear on a specific area of the body and …
infections normally happen once invading fungus appear on a specific area of the body and …
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
The worldwide appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) has generated significant concern and posed a considerable challenge to global health …
2) has generated significant concern and posed a considerable challenge to global health …
Prediction of protein crotonylation sites through LightGBM classifier based on SMOTE and elastic net
Y Liu, Z Yu, C Chen, Y Han, B Yu - Analytical biochemistry, 2020 - Elsevier
Lysine crotonylation is an important protein post-translational modification, which plays an
important role in the process of chromosome organization and nucleic acid metabolism …
important role in the process of chromosome organization and nucleic acid metabolism …
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites
Protein S-sulfenylation is one kind of crucial post-translational modifications (PTMs) in which
the hydroxyl group covalently binds to the thiol of cysteine. Some recent studies have shown …
the hydroxyl group covalently binds to the thiol of cysteine. Some recent studies have shown …
LMPhosSite: a deep learning-based approach for general protein phosphorylation site prediction using embeddings from the local window sequence and pretrained …
Phosphorylation is one of the most important post-translational modifications and plays a
pivotal role in various cellular processes. Although there exist several computational tools to …
pivotal role in various cellular processes. Although there exist several computational tools to …
IPs-GRUAtt: an attention-based bidirectional gated recurrent unit network for predicting phosphorylation sites of SARS-CoV-2 infection
The global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
infection has generated tremendous concern and poses a serious threat to international …
infection has generated tremendous concern and poses a serious threat to international …
cACP: Classifying anticancer peptides using discriminative intelligent model via Chou's 5-step rules and general pseudo components
World widely, cancer is considered a fatal disease and remains the major cause of death.
Conventional medication approaches using therapies and anticancer drugs are deemed …
Conventional medication approaches using therapies and anticancer drugs are deemed …
iPhosY-PseAAC: Identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC
Protein phosphorylation is one of the most fundamental types of post-translational
modifications and it plays a vital role in various cellular processes of eukaryotes. Among …
modifications and it plays a vital role in various cellular processes of eukaryotes. Among …