Developments in Computer-Aided Drug Design for Antiviral Research
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9195-2_3
Reference38 articles.
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2. Amiroch S, Irawan MI, Mukhlash I, Al Faroby MHZ, Nidom CA (2022) Machine learning for the prediction of antiviral compounds targeting avian influenza a/H9N2 viral proteins. Symmetry 14(6):1114. https://www.mdpi.com/2073-8994/14/6/1114
3. Anantpadma M, Lane T, Zorn KM, Lingerfelt MA, Clark AM, Freundlich JS, Davey RA, Madrid PB, Ekins S (2019) Ebola virus Bayesian machine learning models enable new in vitro leads. ACS Omega 4(1):2353–2361. https://doi.org/10.1021/acsomega.8b02948
4. Anderson AC (2003) The process of structure-based drug design. Chem Biol 10(9):787–797. https://doi.org/10.1016/j.chembiol.2003.09.002
5. Bajorath J (2022) Deep machine learning for computer-aided drug design [perspective]. Front Drug Discovery 2. https://doi.org/10.3389/fddsv.2022.829043
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