eLife

Latest preprint reviews

1. We couldn't get details of this article at this time:
   10.1101/2023.04.19.537602

2. ChatGPT identifies gender disparities in scientific peer review

   This article has 1 author:

   1. Jeroen PH Verharen

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This study used ChatGPT to assess certain linguistic characteristics (sentiment and politeness) of 500 peer reviews for 200 neuroscience papers published in Nature Communications. The vast majority of reviews were polite, but papers with female first authors received less polite reviews than papers with male first authors, whereas papers with a female senior author received more favourable reviews than papers with a male senior author. Overall, the study is an important contribution to work on gender bias, and the evidence for the potential utility of generative AI programs like ChatGPT in meta-research is solid.

   Reviewed by eLife

3. We couldn't get details of this article at this time:
   10.1101/2023.04.24.537925

4. Convergent evolution in silico reveals shape and dynamic principles of directed locomotion

   This article has 3 authors:

   1. Renata B Biazzi
   2. André Fujita
   3. Daniel Y Takahashi

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This study provides an important, original framework to study locomotion on the ground with physics-based simulations. Through numerical simulations, the authors propose that intermediate numbers of body modules and high body symmetry enhance speed. The current way discussions and conclusions are written is overly broad: evidence that evolution may favour bilateral symmetry and modularity for efficient directed locomotion is still incomplete as further performance metrics and a more accurate description of the dynamics in water are needed.

   Reviewed by eLife

5. Shared and distinct pathways and networks genetically linked to coronary artery disease between human and mouse

   This article has 15 authors:

   1. Zeyneb Kurt
   2. Jenny Cheng
   3. Rio Barrere-Cain
   4. Caden N McQuillen
   5. Zara Saleem
   6. Neil Hsu
   7. Nuoya Jiang
   8. Calvin Pan
   9. Oscar Franzén
   10. Simon Koplev
   11. Susanna Wang
   12. Johan Björkegren
   13. Aldons J Lusis
   14. Montgomery Blencowe
   15. Xia Yang

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     In this important study, the authors integrated genetic and genomic datasets from humans and mice to unveil shared networks and pathways associated with coronary artery disease. Their compelling analysis led to the identification of new regulatory genes and pathways in vascular tissues and in the liver, allowing for a more in-depth understanding of the pathogenesis of coronary artery disease.

   Reviewed by eLife

6. We couldn't get details of this article at this time:
   10.1101/2023.06.02.543523

7. Caspase-mediated nuclear pore complex trimming in cell differentiation and endoplasmic reticulum stress

   This article has 2 authors:

   1. Ukrae H Cho
   2. Martin W Hetzer

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This important study outlines a new role for caspases during cellular differentiation. The methodology used is convincing and state-of-the-art. The newly discovered cellular cascade described here uncovers that caspases can achieve high substrate specificity during differentiation. As such, the work will be of broad interest to cell biologists.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2023.06.21.545885

9. How accurately can one predict drug binding modes using AlphaFold models?

   This article has 3 authors:

   1. Masha Karelina
   2. Joseph J Noh
   3. Ron O Dror

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This important study presents findings with broad implications for the use of AlphaFold2 models in ligand binding pose modeling, a common task in protein structure modeling. The computational experiments and analyses provide compelling results for the GPCR protein family data, but the conclusions are likely to apply also to other proteins and they will therefore be of interest to biophysicists, physical chemists, structural biologists, and anyone interested or involved in structure-based ligand discovery.

   Reviewed by eLife

10. We couldn't get details of this article at this time:
    10.1101/2023.06.22.546200