Helix-based screening with structure prediction using artificial intelligence has potential for the rapid development of peptide inhibitors targeting class I viral fusion

Author:

Suzuki Satoshi1ORCID,Kuroda Mio2,Aoki Keisuke23,Kawaji Kumi4,Hiramatsu Yoshiki1,Sasano Mina4,Nishiyama Akie1,Murayama Kazutaka5ORCID,Kodama Eiichi N.146,Oishi Shinya23ORCID,Hayashi Hironori4ORCID

Affiliation:

1. Department of Infectious Diseases, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan

2. Laboratory of Medicinal Chemistry, Kyoto Pharmaceutical University, 1, Misasagi-Shichono-cho, Yamashina-ku, Kyoto 607-8412, Japan

3. Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan

4. Division of Infectious Diseases, International Research Institute of Disaster Science, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan

5. Division of Biomedical Measurements and Diagnostics, Graduate School of Biomedical Engineering, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan

6. Department of Infectious Disease, Graduate School of Medicine and Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan

Abstract

Peptide inhibitors against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are designed using a screening system for peptide-based inhibitors containing an α-helix region (SPICA) and structures predicted by AlphaFold2.

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Molecular Biology,Biochemistry,Chemistry (miscellaneous)

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