Vesicle-associated membrane protein-associated protein B (VAPB) is an endoplasmic reticulum protein implicated in amyotrophic lateral sclerosis (ALS) through its P56S mutation. Although pathological function loss and condensate formation of the VAPB P56S mutant are crucial for disease progression, the underlying molecular mechanism remains unclear. Here, we investigated the structural basis of VAPB condensate formation using nuclear magnetic resonance (NMR) spectroscopy, turbidity analysis, and microscopy. Our results show that the major sperm protein domain of VAPB undergoes temperature-dependent condensate formation, a process regulated by localized structural dynamics. We identified a pH-sensitive hydrogen bond that functions as a switch to autoinhibition of condensate formation, as well as a flexible loop whose slow dynamics facilitate the multivalent interactions essential for condensate formation. The ALS-linked P56S mutant exhibits markedly enhanced condensate formation, which is associated with increased conformational heterogeneity that may promote aberrant intermolecular contacts related to pathological function loss. These findings reveal how specific dynamic features within a folded protein can drive condensate formation, providing a molecular framework for understanding both VAPB function and its pathological condensate formation.
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.· Journal of Systems and Softw...· 111 citations· ⚡8
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.· Journal of Systems and Softw...· 78 citations· ⚡6
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· SSE@SIGSOFT FSE· 56 citations· ⚡4
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· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
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...
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.