Integrating Low-Order and High-Order Correlation Information for Identifying Phage Virion Proteins
Author:
Affiliation:
1. School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China.
2. College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation
Link
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2022.0237
Reference44 articles.
1. SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
2. Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination
3. iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
4. StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
5. iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
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1. ESM-PVP: Identification and classification of phage virion proteins with a large pretrained protein language model and an MLP neural network;2023-12-30
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