iLMS, Computational Identification of Lysine-Malonylation Sites by Combining Multiple Sequence Features
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8566098/8567439/08567516.pdf?arnumber=8567516
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences;Database;2024-01-01
2. LSTM_Kmal: Prediction of Malonylation Based on LSTM and Feature Confusion;2023 11th International Conference on Bioinformatics and Computational Biology (ICBCB);2023-04-21
3. A Comprehensive Comparative Review of Protein Sequence-Based Computational Prediction Models of Lysine Succinylation Sites;Current Protein & Peptide Science;2022-11
4. Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration;BMC Genomics;2020-11-23
5. Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction;Current Genomics;2020-09-16
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