Peer Review History

Original SubmissionNovember 24, 2021
Decision Letter - David van der Spoel, Editor, Nir Ben-Tal, Editor

Dear Dr. Martinez-Seara,

Thank you very much for submitting your manuscript "Use of Raman and Raman optical activity to extract atomistic details of saccharides in aqueous solution" for consideration at PLOS Computational Biology. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations.

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Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

David van der Spoel

Associate Editor

PLOS Computational Biology

Nir Ben-Tal

Deputy Editor

PLOS Computational Biology

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Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: In their manuscript, the authors present their methodology of improved calculations of Raman, and Raman optical activity spectra of carbohydrates in aqueous solution and analysis of their ring puckering conformations, anomeric ratios, or glycosidic bonds, extended for a bigger systems, e.g. disaccharides and trisaccharides. There are limited tools to study carbohydrate structure in a native aqueous solutions. ROA/Raman tend to be very useful in this field, showing great potential, however analysis based on theoretical calculations are challenging. Their work is very laborious and impressive. Combination of Raman/ROA experiments with MD and QM based calculations, together with modern approach of partial optimization of snapshots, scaling functions or best fit procedure, gave great results of the similarity index of the experimental and simulated spectra, and extensive information of the carbohydrate structure. Although this work is suitable for publication in the PLOS Computational Biology, several questions and concerns arises after reading, that are listed below.

1) Please describe precisely, point by point what is the novelty of present manuscript compared to former paper from Palivec et al. PCCP.,2020, 22, 1983 (10.1039/c9cp05682c). My first impression was that it is to some point extend of the former paper to di- and trisaccharides. Please clarify in the manuscript, what is new here and what is based on the previous paper.

2) To understand properly all methods used here, I read the authors' previous work (Palivec et al. PCCP.,2020, 22, 1983), together with the Reply to Reviewers that was added as the SI. After careful reading, I still have concerns about scaling of calculated intensities. In the previous paper to which the reader is referred, you mentioned “The average magnitudes of ROA and Raman intensities are experimentally related (I(ROA)~I(Raman)x10^-4), however, we optimize both spectral intensities separately. As a result, the ratio is not necessarily preserved during the optimization”, Is it the case also in this paper? If yes it should be mentioned somewhere, and discussed, especially because all simulated and experimental ROA/Raman spectra are presented here in some puzzling arbitrary units, where ROA and Raman intensities are comparable, although one can expect rather ~10^-4 ratio of ROA/Raman intensities. In my opinion it will be puzzling for future readers. I have a problem with it because you are losing information about CID ratios. As we all know, CID ratios are inherently associated with ROA, and their calculation and comparison with experiment can improve the reliability of structural conclusions (Polavarapu, CHIRALITY 26:539–552 (2014)). At least I would suggest that the original ROA/Raman ratios of both experimental and simulated spectra should be preserved during all the scaling, and minimization of the cost function. I’m curious how would it change the final results?

3) About bibliography. I would suggest to enrich the bibliography with the latest papers on ROA of trisaccharides, or polysaccharides e.g. 10.1039/C9CP00472F, or 10.1016/j.saa.2018.08.017, where in the latter, raffinose ROA spectrum is discussed.

Reviewer #2: Please see the report file.

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Reviewer #1: None

Reviewer #2: None

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Reviewer #1: No

Reviewer #2: No

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Attachments
Attachment
Submitted filename: PLOS_ROA_report.docx
Revision 1

Attachments
Attachment
Submitted filename: rebuttal.pdf
Decision Letter - David van der Spoel, Editor, Nir Ben-Tal, Editor

Dear Dr. Martinez-Seara,

We are pleased to inform you that your manuscript 'Use of Raman and Raman optical activity to extract atomistic details of saccharides in aqueous solution' has been provisionally accepted for publication in PLOS Computational Biology.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

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Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Computational Biology. 

Best regards,

David van der Spoel

Associate Editor

PLOS Computational Biology

Nir Ben-Tal

Deputy Editor

PLOS Computational Biology

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Formally Accepted
Acceptance Letter - David van der Spoel, Editor, Nir Ben-Tal, Editor

PCOMPBIOL-D-21-02118R1

Use of Raman and Raman optical activity to extract atomistic details of saccharides in aqueous solution

Dear Dr Martinez-Seara,

I am pleased to inform you that your manuscript has been formally accepted for publication in PLOS Computational Biology. Your manuscript is now with our production department and you will be notified of the publication date in due course.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript.

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Thank you again for supporting PLOS Computational Biology and open-access publishing. We are looking forward to publishing your work!

With kind regards,

Livia Horvath

PLOS Computational Biology | Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom ploscompbiol@plos.org | Phone +44 (0) 1223-442824 | ploscompbiol.org | @PLOSCompBiol

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