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. 2021 Apr 2;82(3):465. doi: 10.1002/ddr.21817

TWIRLS, a knowledge‐mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2

PMCID: PMC8250899  PMID: 33960002

[Article published in Drug Development Research. DOI: 10.1002/ddr.21717].

Article first published online: 13 July 2020.

The authors would like to update the acknowledgement of funding in the published version. The correct acknowledgement should read:

This work was supported by the Public Library Association Youth Talent Project 17QNP010; Chongqing Health Commission COVID‐19 Project 2020NCPZX01; and the Shenzhen Science and Technology Planning Project (JCYJ20170817095211560).

The authors would also like to update the affiliations of corresponding author Gang Niu. The updated affiliations should read:

  1. Joint Turing‐Darwin Laboratory of Phil Rivers Technology Ltd. and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

  2. Department of Computational Biology, Phil Rivers Technology Ltd, Beijing, China

  3. West Institute of Computing Technology, Chinese Academy of Sciences, Chongqing, China

  4. Nanophotonics Research Center, Shenzhen Key Laboratory of Micro‐Scale Optical Information Technology & Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, China

The authors apologize for these oversights. These errors do not change the scientific results of the article in any way.


Articles from Drug Development Research are provided here courtesy of Wiley

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