PREreview

Latest preprint reviews

1. Writing for identity? Exploring the motivations of pre-college students to participate in science publication

   This article has 2 authors:

   1. Sarah C. Fankhauser
   2. Tanya Bhagatwala

   Reviewed by PREreview

2. The Research Mind: A Multi-Dimensional Framework for Evaluating Research Quality, Productivity, and Integrity by Mitigating citation bias

   This article has 2 authors:

   1. Sanjay Rathee
   2. Chanchal Chaudhary

   Reviewed by PREreview

3. Estimation of the Length at First Maturity of the Swimming Crab (Portunus trituberculatus) in the Yellow Sea of Korea Using Machine Learning

   This article has 3 authors:

   1. Jaehyung Kim
   2. Daehyeon Kwon
   3. Soojeong Lee

   Reviewed by PREreview

4. Students’ Concept Retention on the Use of Gamification in Biology

   This article has 2 authors:

   1. Vladimir D. Tanilong
   2. Rolly James F. Cheng

   Reviewed by PREreview

5. Data Security in AI Healthcare Applications: Challenges and Innovative Methods

   This article has 2 authors:

   1. Aleksandar Stankovic
   2. Marina Marjanovic

   Reviewed by PREreview

6. Large scale prospective evaluation of co-folding across 557 Mac1-ligand complexes and three virtual screens

   This article has 20 authors:

   1. Jongbin Kim
   2. Galen J Correy
   3. Brendan W Hall
   4. Moira M Rachman
   5. Olivier Mailhot
   6. Takaya Togo
   7. Ryan L Gonciarz
   8. Priyadarshini Jaishankar
   9. R Jeffrey Neitz
   10. Eric R Hantz
   11. Yagmur U Doruk
   12. Maisie GV Stevens
   13. Morgan E Diolaiti
   14. Rashad Reid
   15. Saumya Gopalkrishnan
   16. Nevan J Krogan
   17. Adam R Renslo
   18. Alan Ashworth
   19. Brian K Shoichet
   20. James S Fraser

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study addresses an important gap in drug discovery by delivering a rigorous, large-scale evaluation of widely used co-folding methods for predicting ligand-bound protein complexes and virtual screening. A key strength is the comprehensive benchmarking framework, which leverages structures and chemical compounds that were absent from the AI models training set, thereby providing particularly compelling and unbiased evidence of co-folding performance. The findings clearly delineate the complementary roles of deep learning-based co-folding and physics-based docking, offering practical guidance for their rational integration into drug discovery workflows. Overall, the conclusions are well supported by thorough analyses across a representative set of cases and are highly convincing.

   Reviewed by eLife, PREreview

7. Corpo, mídia e comportamento alimentar: grupos de escuta psicológica com meninas adolescentes em contexto escolar

   This article has 2 authors:

   1. Nayana Leão e Silva de Castro
   2. Lucas Guimarães Bloc

   Reviewed by PREreview

8. Common and distinct roles of AMPKγ isoforms in small-molecule activator-stimulated glucose uptake in mouse skeletal muscle

   This article has 15 authors:

   1. Dipsikha Biswas
   2. Ever Espino-Gonzalez
   3. Danial Ahwazi
   4. Jordana B. Freemantle
   5. Amy M. Ehrlich
   6. Charline Jomard
   7. Jonas Brorson
   8. Agnete N. Schou
   9. Jean Farup
   10. Julien Gondin
   11. Jesper Just
   12. Marc Foretz
   13. Jonas T. Treebak
   14. Marianne Agerholm
   15. Kei Sakamoto

   Reviewed by PREreview

9. In HSV-1, the LAT Enhancer Drives Pre-IE VP16 Transcription to Initiate Reactivation

   This article has 4 authors:

   1. Ziyun A. Ye
   2. Mason A. Shipley
   3. Pankaj Singh
   4. Donna M. Neumann

   Reviewed by PREreview

10. The Unified Quantum-Consciousness Framework Integrating EQST-GP Physics with Veronica X Pro Architecture for Conscious AI

    This article has 1 author:

    1. Ahmed Ali

    Reviewed by PREreview