Predicting Antimicrobial Activity of Conjugated Oligoelectrolyte Molecules via Machine Learning

Predicting Antimicrobial Activity of Conjugated Oligoelectrolyte Molecules via Machine Learning

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New antibiotics are needed to battle growing antibiotic resistance, but the development process from hit, to lead, and ultimately to a useful drug, takes decades. Although progress in molecular property prediction using machine-learning methods has opened up new pathways for aiding the antibiotic...

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Bibliographic Details
Main Authors: Tiihonen, Armi, Cox-Vazquez, Sarah J., Liang, Qiaohao, Ragab, Mohamed, Ren, Zekun, Hartono, Noor Titan Putri, Liu, Zhe, Sun, Shijing, Zhou, Cheng, Incandela, Nathan C., Limwongyut, Jakkarin, Moreland, Alex S., Jayavelu, Senthilnath, Bazan, Guillermo C., Buonassisi, Tonio
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: American Chemical Society (ACS) 2022
Online Access:https://hdl.handle.net/1721.1/138491.2

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https://hdl.handle.net/1721.1/138491.2

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