Predicting Antimicrobial Activity of Conjugated Oligoelectrolyte Molecules via Machine Learning-Reference-Cited by-同舟云学术

Predicting Antimicrobial Activity of Conjugated Oligoelectrolyte Molecules via Machine Learning

Published:2021-11-05 Issue:45 Volume:143 Page:18917-18931
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Tiihonen Armi¹^ORCID,Cox-Vazquez Sarah J.²,Liang Qiaohao¹,Ragab Mohamed³,Ren Zekun⁴,Hartono Noor Titan Putri¹,Liu Zhe¹,Sun Shijing¹,Zhou Cheng²,Incandela Nathan C.⁵,Limwongyut Jakkarin⁵,Moreland Alex S.⁵,Jayavelu Senthilnath⁶,Bazan Guillermo C.²⁵^ORCID,Buonassisi Tonio¹⁴^ORCID

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

2. Departments of Chemistry and Chemical & Biomolecular Engineering, National University of Singapore, Singapore 119077, Singapore

3. School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore

4. Singapore MIT Alliance for Research and Technology, #05-09, Innovation Wing, 1 Create Way, Singapore 138602, Singapore

5. Center for Polymers and Organic Solids, Department of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, United States

6. Institute for Infocomm Research, Artificial Intelligence, Analytics and Informatics, Agency for Science, Technology and Research, Singapore 138632, Singapore

Funder

Defense Advanced Research Projects Agency

Agency for Science, Technology and Research

Total

National Research Foundation Singapore

National University of Singapore

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Institute for Collaborative Biotechnologies

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis