Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-018-1323-y.pdf
Reference72 articles.
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2. Shen H-B, Chou K-C (2008) HIVcleave: a web-server for predicting human immunodeficiency virus protease cleavage sites in proteins. Anal Biochem 375:388–90. https://doi.org/10.1016/j.ab.2008.01.012
3. Chou KC (1996) Prediction of human immunodeficiency virus protease cleavage sites in proteins. Anal Biochem 233:1–14. https://doi.org/10.1006/abio.1996.0001
4. Chou JJ (1993) Predicting cleavability of peptide sequences by HIV protease via correlation-angle approach. J Protein Chem 12:291–302. https://doi.org/10.1007/BF01028191
5. Gök M, Özcerit AT (2013) A new feature encoding scheme for HIV-1 protease cleavage site prediction. Neural Comput Appl 22:1757–1761. https://doi.org/10.1007/s00521-012-0967-5
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