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Prediction of infectivity of SARS-CoV2: Mathematical model ..:
Takaoka, Yutaka
;
Sugano, Aki
;
Morinaga, Yoshitomo
...
Microbial Risk Analysis. 22 (2022) - p. 100227 , 2022
Link:
https://doi.org/10.1016/j.mran.2022.100227
RT Journal T1
Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 2
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.mran.2022.100227&Exemplar=1&LAN=DE A1 Takaoka, Yutaka A1 Sugano, Aki A1 Morinaga, Yoshitomo A1 Ohta, Mika A1 Miura, Kenji A1 Kataguchi, Haruyuki A1 Kumaoka, Minoru A1 Kimura, Shigemi A1 Maniwa, Yoshimasa PB Elsevier BV YR 2022 SN 2352-3522 JF Microbial Risk Analysis VO 22 SP 100227 LK http://dx.doi.org/https://doi.org/10.1016/j.mran.2022.100227 DO https://doi.org/10.1016/j.mran.2022.100227 SF ELIB - SuUB Bremen
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