PONE-D-25-01707Identification of potential riboswitch elements in Homo Sapiens mRNA 5'UTR sequences using Positive-Unlabeled machine learningPLOS ONE

Dear Dr. Raymond,

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Sudarshan Kasireddy, Ph.D.

Academic Editor

PLOS ONE

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WSR, and BM were supported by the NSF (1941870) and National Institutes of Health (R35GM124747). JD was supported by the National Institutes of Health (1R01AI168459-01A1). Special thanks to Dr. Hamid Chitsaz as this paper started as a student project in his CS548 - Bioinformatics class. Additional special thanks to Dr. Jeffrey Wilusz as the initial idea for this was broached as a class discussion in MIP 543 - RNA biology. 

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Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: N/A

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

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Reviewer #1: The authors have thoroughly addressed the comments raised by the previous reviewers, demonstrating careful attention to detail and a commitment to improving the manuscript. In my opinion, the article, in its current form, meets the standards of quality and scientific rigor expected for publication in PLOS ONE journal.

Reviewer #2: The authors have satisfactorily addressed the previous reviewers comments. I have one additional comment to the authors.

• This study on identifying potential riboswitch elements in human mRNA 5'UTR sequences provides valuable insights. To enhance the context of the findings, I recommend citing the article "Regulation of mRNA translation by a photoriboswitch". (https://elifesciences.org/articles/51737) This work discusses how riboswitches, including photoriboswitches, regulate mRNA translation in response to light, offering valuable insights into the functional roles of riboswitches. Citing this paper would further highlight the potential applications of the riboswitch elements identified by the authors, particularly in controlling gene expression.

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Reviewer #1: No

Reviewer #2: Yes: Sri Hari Galla

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Identification of potential riboswitch elements in Homo Sapiens mRNA 5'UTR sequences using Positive-Unlabeled machine learning

PONE-D-25-01707R1

Dear Dr. Raymond,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Sudarshan Kasireddy, Ph.D.

Academic Editor

PLOS ONE