Thermodynamics for Reduced Models of Breakable Amyloid Filaments Based on Maximum Entropy Principle
Xinyu Zhang, Haiyang Jia, Wuyue Yang, Liangrong Peng, Liu Hong

TL;DR
This paper investigates the thermodynamic properties of Maximum Entropy Principle (MEP)-reduced models of amyloid filaments, demonstrating their thermodynamic consistency and extending understanding of simplified models in neurodegenerative disease research.
Contribution
It provides the first thermodynamic analysis confirming that MEP-reduced models of amyloid filaments adhere to fundamental thermodynamic laws.
Findings
MEP-reduced models retain thermodynamic laws
Thermodynamic consistency holds for discrete and continuous filament lengths
Clarifies the thermodynamic relationship between simplified and original models
Abstract
Amyloid filaments are associated with neurodegenerative diseases such as Alzheimer's and Parkinson's. Simplified models of amyloid aggregation are crucial because the original mass-action equations involve numerous variables, complicating analysis and understanding. While dynamical aspects of simplified models have been widely studied, their thermodynamic properties are less understood. In this study, we explore the Maximum Entropy Principle (MEP)-reduced models, initially developed for dynamical analysis, from a brand-new thermodynamic perspective. Analytical expressions along with numerical simulations demonstrate that the discrete MEP-reduced model strictly retains laws of thermodynamics, which holds true even when filament lengths transit from discrete values to continuous real numbers. Our findings not only clarify the thermodynamic consistency between the MEP-reduced models and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Field-Flow Fractionation Techniques · Protein Structure and Dynamics
