Skip to content
#protein folding Open access

Unfolding of the disease-linked bank vole prion protein E200K in the context of PrPSc propagation

Oct 2026 · bioRxiv (Cold Spring Harbor Laboratory)
Prion Diseases and Protein Misfolding

Abstract

The elucidation of the atomistic structure of PrPSc has, disappointingly, not revealed the mechanism underlying prion propagation. This is because PrPSc has been shown to be a standard amyloid, and as such, it can only template a polypeptide chain that is unfolded. Therefore, while PrPSc can easily template the disordered ~90-120 domain of an incoming PrPC molecule, it does not have any obvious capacity to template its ~121-231 folded domain (FD). The FD needs to accommodate into the ~121-230 PrPSc surface, an inert “Procrustean bed”. We have recently proposed that unfolding of the FD is a prerequisite for its conversion to the PrPSc conformation and using experimental and computational methods identified the likely early events of such process using bank vole (BV)PrP(90-231) as our working model. We concluded that a key early event is the destabilization of the short β1-β2 assembly, and that the segment contiguous to the disordered tail, ~121-140, encompassing β1 and its adjacent coils, is the most likely region to unfold first. In the present study we applied the same methodology to the disease-related PrP mutant E200K. E200K is the most prevalent mutation leading to familial prion disease in humans, yet the stability of its FD is only marginally lower compared to that of the protein with the wild type (wt) sequence. We, therefore, aimed at assessing whether the early unfolding events of BVPrPC(E200K) are similar or different to those of wtBVPrPC and whether such early unfolding route might provide insight into the extreme capacity of PrPC(E200K) to spontaneously generate PrPSc. It should be noted that generation and propagation of PrPSc are distinct phenomena, even though both are mechanistically related and dependent on conformational changes in PrPC. Our data show that early unfolding events of BVPrPC(E200K) are essentially similar to those of wt BVPrPC. However, interesting nuances exist.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.