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Open access Aug 2026

PhaseOM: an integrated multi-task framework for phase separation analysis and key residue detection.

INTRODUCTION Liquid-liquid phase separation (LLPS) drives cellular organization through scaffold proteins that initiate condensate formation and client proteins that partition into them. Current computational tools lack precision in differentiating these functional classes and identifying key intrinsically disordered r...

Liping Xu, Sheng-Ming Zhou, Zixu Ran et al. · 0 citations
Open access Sep 2026

AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning

AET5 is presented, a de novo molecular generation framework that conditions molecular design on disease-reversal gene expression profiles, providing a general framework for biologically informed drug design under noisy transcriptomic conditions.

Zhi-Kang Yuan, Xin Zhang, Gao-Ming Lin et al. · 0 citations
#graph neural networks Open access Sep 2026

A unified framework for potency-oriented AMP discovery via multi-modal learning and guided sequence synthesis

The generation-screening-validation workflow enables reliable discovery of potent AMPs, and provides a practical strategy for rational peptide design, rapid prediction, and translational applications.

Wen-Yu Zhang, Yi-Zheng Wang, Yi-Xiao Zhai et al. · 1 citation

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