Machine learning for HIV-1 protease cleavage site prediction
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference27 articles.
1. Identification of efficiently cleaved substrates for HIV-1 protease using a phage display library and use in inhibitor development;Beck;Virology,2000
2. Bagging predictors;Breiman;Machine Learn.,1996
3. Artificial neural network model for predicting HIV protease cleavage sites in protein;Cai;Adv. Eng. Software,1998
4. Using neural network for prediction of HIV protease cleavage sites in proteins;Cai;J. Protein Chem.,1998
5. A formulation for correlating properties of peptides and its application to predicting human immunodeficiency virus protease-cleavable sites in proteins;Chou;Biopolymers,1993
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2. Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease;Journal of Biomedical Informatics;2020-02
3. Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites;Soft Computing;2019-11-05
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