Evaluated articles

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

1. Sarah C. Fankhauser
2. Tanya Bhagatwala

Reviewed by PREreview

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

1. Sanjay Rathee
2. Chanchal Chaudhary

Reviewed by PREreview

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

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

Reviewed by PREreview

Students’ Concept Retention on the Use of Gamification in Biology

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

Reviewed by PREreview

Data Security in AI Healthcare Applications: Challenges and Innovative Methods

1. Aleksandar Stankovic
2. Marina Marjanovic

Reviewed by PREreview

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

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

• 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

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

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

Reviewed by PREreview

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

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

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

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

Reviewed by PREreview

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

1. Ahmed Ali

Reviewed by PREreview

The parasitic plant Cuscuta campestris selectively loads trans -species miRNAs onto host Argonautes, but not self Argonautes

1. Ya-Chi Nien
2. Michael J. Axtell

Reviewed by PREreview

Ultra-processed food intake and colorectal cancer risk in the NIH-AARP Diet and Health Study

1. Leila Abar
2. Caitlin P. O’Connell
3. Hyokyoung G. Hong
4. Kirsten A. Herrick
5. Lisa Kahle
6. Jennifer L. Lerman
7. Linda M. Liao
8. Xuehong Zhang
9. Xinyuan Zhang
10. Longgang Zhao
11. Sémi Zouiouich
12. Rashmi Sinha
13. Neha Khandpur
14. Eurídice Martínez Steele
15. Erikka Loftfield

Reviewed by PREreview

Distributed neural computation and the evolution of the first brains

1. Vikram Chandra
2. Mehrana R. Nejad
3. Allison P. Kann
4. Ananya Salem
5. Karl A.P. Hill
6. Richard Schalek
7. Jeff Lichtman
8. L. Mahadevan
9. Mansi Srivastava

Reviewed by PREreview

Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review

1. Vijay Durga Pradeep Ganipineni
2. Sai Dheeraj Gutlapalli
3. Jananthan Paramsothy
4. Ikpechukwu J Okorie
5. Derek Ugwendum
6. Meena A Farid
7. Daniel Fabian
8. Tharunjan Kailayanathan
9. GianPaolo Piccione
10. Ajay Sai Krishna Kumar Idavalapati
11. Ziteste Azeze
12. Muhammed Atere
13. Sean Galligan
14. Jay Nfonoyim
15. Francesco Rotatori

Reviewed by PREreview

Cysteine-rich receptor-like kinases mediate Wall Teichoic Acid perception in Arabidopsis

1. L. Pierdzig
2. C. Seinsche
3. S. Kalla
4. S. Armiento
5. L.M. Schulz
6. J. Rismondo
7. A. Molinaro
8. C. De Castro
9. E.K. Petutschnig
10. V. Lipka

Reviewed by PREreview

EDUCAÇÃO PARA A CIDADANIA GLOBAL E INTERNACIONALIZAÇÃO: um olhar sobre o estado da arte focando em discursos, ideologias e disputas hegemônicas

1. Barbara Cortat Simoneli
2. Kyria Rebeca Finardi

Reviewed by PREreview

Enhanced Convolutional Networks for Accurate Leaf- Based Plant Disease Classification

1. Ramu Vankudoth

Reviewed by PREreview

Variant connective tissue as a risk factor for Long COVID: a case-control study

1. Regina A. Torok
2. Jeffrey Lubell
3. Rena M. Rudy
4. Jessica A Eccles
5. Lisa Quadt

Reviewed by PREreview

Climate warming and urbanization may expand dengue transmission risk in California

1. Lisa I. Couper
2. Terrell J Sipin
3. Samantha Sambado
4. Zoe Rennie
5. Kyle M. Shanebeck
6. Kelsey P. Lyberger
7. Philip P.A. Collender
8. Van Ngo
9. Justin V. Remais
10. Andrew J. MacDonald

Reviewed by Rapid Reviews Infectious Diseases, PREreview