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Received — 17 October 2026 ⏭

Computational design of metalloproteases

✇Nature
By: Anqi Chen · Kejia Wu · Hojae Choi · Preetham Venkatesh · Samuel J. Pellock · Nikita Hanikel · Hojeong shin · Declan Evans · Kieran Didi · Lars L. Schaaf · Cristina Díaz-Perlas · Brian Coventry · Donghyo Kim · Seth M. Woodbury · Pengfei Ji · Shingo Honda · Asim K. Bera · Hannah Nguyen · Alex Kang · Yanqing Wang · Xinting Li · Stacey Gerben · Lemuel Chang · Xiao Yan · Benjamí Oller-Salvia · Anthony A. Hyman · Donald Hilvert · David Baker
14 October 2026 at 01:00

Nature, Published online: 14 October 2026; doi:10.1038/s41586-026-11167-2

RFdiffusion methods are used to de novo design proteins with water-activating zinc-based active sites adjacent to a peptide substrate binding pocket, yielding highly active, programmable proteases with potential applications in therapeutics, biotechnology and bioremediation.
Received — 9 August 2026 ⏭
Received — 24 June 2026 ⏭

Machine learning driven design of polymer dielectrics for high temperature capacitive energy storage

✇RSC - Energy Environment
By: Dongduan Liu · Ruojie Cheng · Qiao Li · Feng Wang · Yongqiu Li · Hongxiao Yang · Mingfeng Shen · Qian Zhou · Jinliang He · Qi Li · Chao Yuan
24 June 2026 at 00:00

Energy Environ. Sci., 2026, Advance Article
DOI: 10.1039/D6EE01953F, Paper
Dongduan Liu, Ruojie Cheng, Qiao Li, Feng Wang, Yongqiu Li, Hongxiao Yang, Mingfeng Shen, Qian Zhou, Jinliang He, Qi Li, Chao Yuan
A machine learning-driven high-throughput screening framework for discovering high-performance high-temperature energy storage dielectric materials.
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