Abstract Refractile bodies (R-bodies) are protein assemblies that form intracellular rolls and extend into spirals in response to environmental stimuli. Type 51 R-body assembles from four Reb proteins and undergoes rapid, repeatable ∼50-fold extension. Although R-bodies were described more than 70 years ago, the roles of RebC and RebD remained unclear, whereas RebA and RebB are proposed as major components. Here, we characterize the wild-type R-body (Rb_WT) and reb gene knockout mutants using integrated biophysical analyses. RebD was incorporated as a minor component, whereas RebC was not detectably incorporated into the final assembly. Mutants lacking RebA or RebB formed rolls but lost pH-dependent extension and the ordered lamellar architecture characteristic of Rb_WT. In contrast, mutants lacking RebC and/or RebD exhibited reduced roll formation and formed β-sheet-rich aggregation. Thus, pH-responsive actuation is dictated not simply by major architectural components alone, but by a regulated assembly pathway that builds the ordered lamellar architecture.
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.
