Author: Kaifu Gao; Duc Duy Nguyen; Rui Wang; Guo-Wei Wei
Title: Machine intelligence design of 2019-nCoV drugs Document date: 2020_2_4
ID: 1qniriu0_18
Snippet: The sequence identity is defined as the percentage of characters which match exactly between two different sequences. The sequence identities between 2019-nCoV protease and some other coronaviral proteases are presented in Table 1 . It is seen that 2019-nCoV protease is very close to SARS-CoV protease, but is distinguished from other proteases. Clearly, 2019-nCoV has a strong genetic relationship with SARS-CoV. Additionally, the available experim.....
Document: The sequence identity is defined as the percentage of characters which match exactly between two different sequences. The sequence identities between 2019-nCoV protease and some other coronaviral proteases are presented in Table 1 . It is seen that 2019-nCoV protease is very close to SARS-CoV protease, but is distinguished from other proteases. Clearly, 2019-nCoV has a strong genetic relationship with SARS-CoV. Additionally, the available experimental data of SARS-CoV protease inhibitors can be used as the training set to generate new inhibitors of 2019-nCoV protease.
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