Fluorescence activation mechanism and imaging of drug permeation with new sensors for smoking-cessation ligands
Peer review process
This article was accepted for publication as part of eLife's original publishing model.
History
- Version of Record updated
- Version of Record updated
- Version of Record published
- Accepted Manuscript published
- Accepted
- Received
- Preprint posted
Decision letter
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Gary YellenReviewing Editor; Harvard Medical School, United States
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Kenton J SwartzSenior Editor; National Institute of Neurological Disorders and Stroke, National Institutes of Health, United States
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Ryan E HibbsReviewer; University of Texas Southwestern Medical Center, United States
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Thomas E HughesReviewer; Montana State University, United States
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Owen McManusReviewer
Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.
Decision letter after peer review:
Thank you for submitting your article "Fluorescence Activation Mechanism and Imaging of Drug Permeation with New Sensors for Smoking-Cessation Ligands" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Kenton Swartz as the Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Ryan E Hibbs (Reviewer #1); Thomas E. Hughes (Reviewer #2); Owen McManus (Reviewer #3).
The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.
Congratulations on an excellent piece of work!
Essential revisions:
Please make changes to the text for clarity and answer the individual small questions raised in the reviewers' recommendations below. Also, several reviewers agreed that the impact and interest of the paper for the audience could be broadened by adding a little material to the discussion about how analogous tools may be useful beyond the explicit case of nicotine addiction.
Reviewer #2 (Recommendations for the authors):
Great read, this is a beautiful piece of work. My only concern is that the paper covers such a broad swath of disciplines that it might be better with additional background? Biosensor people know remarkably little about target engagement issues in drug discover, pharmacologists are only vaguely aware of biosensors, and medicinal chemists are on a different planet. Is there a way to frame the bigger picture beyond nicotine addiction? It's so easy to see how this sort of approach could be used in SAR in different drug discovery campaigns for example.
https://doi.org/10.7554/eLife.74648.sa1Author response
Essential revisions:
Please make changes to the text for clarity and answer the individual small questions raised in the reviewers' recommendations below. Also, several reviewers agreed that the impact and interest of the paper for the audience could be broadened by adding a little material to the discussion about how analogous tools may be useful beyond the explicit case of nicotine addiction.
The revised Discussion adds the explicit statement:
“The iDrugSnFR paradigm will be useful beyond the explicit case of nicotine addiction, with application to other exogenous neural drugs.”
Reviewer #2 (Recommendations for the authors):
Great read, this is a beautiful piece of work. My only concern is that the paper covers such a broad swath of disciplines that it might be better with additional background? Biosensor people know remarkably little about target engagement issues in drug discover, pharmacologists are only vaguely aware of biosensors, and medicinal chemists are on a different planet. Is there a way to frame the bigger picture beyond nicotine addiction? It's so easy to see how this sort of approach could be used in SAR in different drug discovery campaigns for example.
Amusingly, none of the authors have ever taken a formal course in the disciplines noted: biosensors, drug discovery, pharmacology, medicinal chemistry, or (not mentioned) pharmacokinetics. Lightheartedly, we note that none of us are known to suffer from imposter syndrome.
More seriously, we have presented 2021 SfN abstracts on related biosensors for opioids, SSRIs, and rapidly acting antidepressants. When those papers are submitted and published, we hope to verify Reviewer 2’s prediction. Meanwhile, the revised Discussion ends with the Editor’s suggested statement:
“The iDrugSnFR paradigm will be useful beyond the explicit case of nicotine addiction, with application to other exogenous neural drugs.”
https://doi.org/10.7554/eLife.74648.sa2