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Article
Peer-Review Record

High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations

Int. J. Mol. Sci. 2023, 24(1), 481; https://doi.org/10.3390/ijms24010481
by Zihui Tian, Hongtao Liu, Shuangyan Zhou *, Zengyan Xie and Shuai Yuan *
Reviewer 1:
Reviewer 2:
Int. J. Mol. Sci. 2023, 24(1), 481; https://doi.org/10.3390/ijms24010481
Submission received: 13 November 2022 / Revised: 22 December 2022 / Accepted: 23 December 2022 / Published: 28 December 2022
(This article belongs to the Section Molecular Pharmacology)

Round 1

Reviewer 1 Report

The work titled “High-Affinity Antibodies Designing of SARS-CoV-2 Based on

Molecular Dynamics Simulations” submitted by the authors is a very good in silico design of SARS-CoV-2 antibodies. In the given context, this could be a very good reference study for future antibody design against any known pathogen. The molecular dynamic simulation was performed well. I suggest to publish this work.

Author Response

Thanks for the reviewer's comments. Please see the response in the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

·      English should be improved.

·      Line 52-53 “as well as the high infection rate lead to the risky of physiological experiments” is not clear to the reader.

·      Add an image showing the hydrogen bonding discussed in line 91-97 and 119-128.

·      Figure 8 has legend error.

·      Conclusion typing error

 

Author Response

Thanks for the reviewer's comments. Please see the reponse in the attachment.

Author Response File: Author Response.docx

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