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Allosteric Pocket Prediction Based on Multi-modal Protein Language Models and Ensemble Learning.

Hui-Ling Zhang Shu-Wen Wen Zi-Qi Xu Xiao-Chuan Chen Shao-Zhen Cai Guan-Shang Huang Hao-Wen Zhao Ling Yin Yan-Jie Wei
Sep 2026 · IEEE transactions on computational biology and bioinformatics · Vol PP, pp. 1-14 · 0 citations
Medicine

TL;DR

AlloPoc is a novel framework that integrates multi-modal protein language model (PLM) representations with biochemical features for accurate allosteric pocket prediction and achieves state-of-the-art performance, surpassing existing methods including AlloFusion, DeepAllo, and AlloPED.

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