Neurodegenerative proteinopathies are defined by distinct proteins whose folding, trafficking and clearance depend on shared proteostasis machinery. Whether these disorders engage common components or only common processes has been unresolved. We mapped 16 disease proteins from 12 disorders onto a fixed 990-protein proteostasis network. Across the 12 disorders, the neighborhoods of these proteins shared specific proteins beyond expectations from process composition and connectivity. The same held for the two disorders defined by more than one protein. Nine proteins contributed disproportionately, and only autophagy's removal significantly reduced similarity. Removing PRKN, HSPA8 or UBQLN2 in silico reduced path efficiency, marking them candidate shared network vulnerabilities. In human brain proteomes, Alzheimer's disease-zone proteins showed greater abundance remodeling in the insoluble fraction; recurrence across disorders showed no such association. The result is a component-level architecture prioritizing network-derived candidates for cross-disease functional testing.
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.
