Oct 2026· PLoS Pathogens· Vol 22 10, pp.
e1014690
· 0 citations· 42 references
Medicine
Abstract
Type III toxin-antitoxin (TA) systems are anti-phage defense systems in bacteria that comprises a protein toxin and a cognate non-coding RNA antitoxin. Under normal conditions, the antitoxin binds and inhibits the toxin. Upon phage infection, antitoxin is neutralized, releasing the active toxin, which cleaves the bacterial as well as phage RNA and halts viral replication. These systems are classified into tenpIN, cptIN, and toxIN families based on toxin sequence homology. While the ToxIN and CptIN RNP complexes have been structurally characterized, TenpIN systems remained poorly understood for their structure and assembly. Here, we report the functional and structural characterization of a TenpIN system found in several pathogenic bacteria. The antitoxin RNA, tenpI, contains two non-identical repeats, both capable of binding TenpN toxin, and rescuing toxin-induced growth inhibition in E. coli. Using single-particle cryo-electron microscopy and de novo modeling, we determined the structure of the TenpIN complex as a closed hetero-tetramer comprising two TenpN proteins and two tenpI RNAs. The RNA folds into a central pseudoknot flanked by single-stranded regions interacting with the toxin. Structural analysis revealed a close resemblance between TenpN and ToxN, while tenpI RNA shares structural features with cptI RNA, thereby expanding our understanding of the structural diversity of Type III TA systems.
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.