Related papers: PIS: A Physics-Informed System for Accurate State Partitioning of $Aβ

PIS: A Physics-Informed System for Accurate State Partitioning of $Aβ_{42}$ Protein Trajectories

URL: http://arxiv.org/abs/2602.19444v1
Date: Mon, 23 Feb 2026 02:27:18 GMT
Title: PIS: A Physics-Informed System for Accurate State Partitioning of $Aβ_{42}$ Protein Trajectories
Authors: Qianfeng Yu, Ningkang Peng, Yanhui Gu,
Abstract summary: We introduce PIS, a Physics-Informed System designed for robust metastable state partitioning.<n>Our model achieves superior performance on the $A_42$ dataset.<n> PIS provides an interactive platform that features dynamic monitoring of physical characteristics and multi-dimensional result validation.
Score: 3.7874902461360627
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Understanding the conformational evolution of $β$-amyloid ($Aβ$), particularly the $Aβ_{42}$ isoform, is fundamental to elucidating the pathogenic mechanisms underlying Alzheimer's disease. However, existing end-to-end deep learning models often struggle to capture subtle state transitions in protein trajectories due to a lack of explicit physical constraints. In this work, we introduce PIS, a Physics-Informed System designed for robust metastable state partitioning. By integrating pre-computed physical priors, such as the radius of gyration and solvent-accessible surface area, into the extraction of topological features, our model achieves superior performance on the $Aβ_{42}$ dataset. Furthermore, PIS provides an interactive platform that features dynamic monitoring of physical characteristics and multi-dimensional result validation. This system offers biological researchers a powerful set of analytical tools with physically grounded interpretability. A demonstration video of PIS is available on https://youtu.be/AJHGzUtRCg0.

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