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Article
Peer-Review Record

Visualizing Conformational Space of Functional Biomolecular Complexes by Deep Manifold Learning

Int. J. Mol. Sci. 2022, 23(16), 8872; https://doi.org/10.3390/ijms23168872
by Zhaolong Wu 1,2,3, Enbo Chen 1,2, Shuwen Zhang 1,2, Yinping Ma 4 and Youdong Mao 1,2,3,5,*
Reviewer 1:
Reviewer 2: Anonymous
Int. J. Mol. Sci. 2022, 23(16), 8872; https://doi.org/10.3390/ijms23168872
Submission received: 3 July 2022 / Revised: 29 July 2022 / Accepted: 3 August 2022 / Published: 9 August 2022

Round 1

Reviewer 1 Report

Wu et al introduced a deep manifold learning framework (AlphaCryo4D) that can be useful in cryo-EM reconstruction. This manuscript has a clear purpose for developing the program and clearly presents the advantages compared to previous results. This manuscript is not only well-formed, but also well-written, and will provide useful information for understanding AlphaCryo4D in the future. The program has also been recently validated for use in trusted journals. The program, accessible on Github, is expected to provide great benefits to journals in terms of future citations. I support the publication of this manuscript.

Author Response

We thank the referee very much for supporting publication of this paper.

Reviewer 2 Report

Please refer to the attached document.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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