English(EN) StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes

StabilityArc 预测蛋白质稳定性图谱，并实现跨蛋白质迁移

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-03 04:00

研究人员开发了 StabilityArc，一种预测蛋白质稳定性图谱的新方法。该方法使用共享解码器来解释不同蛋白质的生化约束，从而能够更好地预测突变效应。在严格的评估中，StabilityArc 的表现优于现有的零样本基线，并提高了监督模型 Kermut 的准确性。 AI

影响通过提供更准确的稳定性预测，这项研究有望加速蛋白质工程的实验预筛选。

排序理由该集群包含一篇详细介绍蛋白质稳定性预测新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Aaron L. Feller, Andrew D. Ellington, Claus O. Wilke · 2026-10-03 04:00

StabilityArc：将蛋白质序列嵌入解码为可泛化的稳定性景观

arXiv:2610.00742v1 Announce Type: cross Abstract: Every protein has a unique stability landscape, but the physical consequences of mutation are governed by recurring biochemical constraints. We test whether a shared decoder, trained on measurements from diverse proteins, can inte…