English(EN) Generative Retrieval for Reverse Target Fishing with a Proteome-Scale Benchmark

新GenFish方法通过生成式检索推动药物发现

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员开发了GenFish，一种用于逆向靶点筛选的新型生成式检索方法，这是药物发现中的一个关键过程。该方法利用残差向量量化将蛋白质语言模型特征转换为共享语义标识符，从而能够对以查询信息为条件的编码进行自回归建模。在ProTargetBench（一个旨在评估实验记录阳性的全目录恢复能力的新蛋白质组规模基准）上，GenFish的表现优于现有的判别式神经网络和非神经网络基线。GenFish生成的语义标识符还能够捕捉蛋白质之间具有生物学意义的关系。 AI

影响这种生成式检索方法可以通过改进分子蛋白靶点的识别来加速药物发现。

排序理由该集群包含一篇详细介绍特定科学任务的新方法和基准的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Zhichao Deng, Haichuan Tan, Xin Hong, Huaizhi Wang, Tao Huang, Bowen Gao, Yanyan Lan · 2026-10-23 04:00

Generative Retrieval for Reverse Target Fishing with a Proteome-Scale Benchmark

arXiv:2610.24458v2 Announce Type: replace Abstract: Reverse target fishing identifies protein targets for a query molecule and is central to drug discovery and repurposing. Discriminative approaches adapted from virtual screening face sparse, long-tailed associations and missing-…

本文如何被排名

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Generative Retrieval for Reverse Target Fishing with a Proteome-Scale Benchmark

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