Protein aggregation is no longer viewed only as pathological but as a dynamic and reversible regulatory mechanism in cancer. Within the tumor microenvironment, proteins such as the von Hippel‐Lindau tumor suppressor protein (pVHL) can transition from a folded state to aggregated states. Mutations, environmental stress, and dysfunctional chaperone systems further promote pVHL aggregation. Structural plasticity enables adaptive responses that support protein storage, cell survival, and dormancy, a reversible state promoting drug resistance and cancer recurrence. Targeting protein aggregation with chemical chaperones and amyloid inhibitors could represent a promising therapeutic strategy to rescue the tumor suppressor activity and overcome dormancy‐associated drug resistance. In this review, we address the amyloid aggregation of pVHL, the factors contributing to this behavior, the correlation between protein aggregation and cellular dormancy, and potential therapeutic strategies that bridge protein aggregation and oncology.
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 sequence constraints.
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.
