Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 2

Yutaka Takaoka*, Aki Sugano, Yoshitomo Morinaga, Mika Ohta, Kenji Miura, Haruyuki Kataguchi, Minoru Kumaoka, Shigemi Kimura, Yoshimasa Maniwa

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Fingerprint

Dive into the research topics of 'Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 2'. Together they form a unique fingerprint.

Keyphrases

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science

Neuroscience