Multi-conformation Aproach of ENM-NMA Dynamic-Based Descriptors for HIV Drug Resistance Prediction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49018-7_47
Reference39 articles.
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3. Bauer, J.A., Bauerová-Hlinková, V.: Normal mode analysis: a tool for better understanding protein flexibility and dynamics with application to homology models. In: Homology Molecular Modeling-Perspectives and Applications, pp. 1–19. IntechOpen (2020)
4. Bonet, I., Arencibia, J., Pupo, M., Rodriguez, A., Garcia, M.M., Grau, R.: Multi-classifier based on hard instances-new method for prediction of human immunodeficiency virus drug resistance. Curr. Top. Med. Chem. 13(5), 685–695 (2013). https://doi.org/10.2174/1568026611313050011
5. Bonet, I., García, M.M., Saeys, Y., Van de Peer, Y., Grau, R.: Predicting human immunodeficiency virus (HIV) drug resistance using recurrent neural networks. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2007. LNCS, vol. 4527, pp. 234–243. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73053-8_23
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