The cellular export of large-sized proteins, such as collagen or fibrillin, necessitates a specialized transport pathway tailored towards their size. For collagen and possibly also other bulky proteins, the Transport ANd Golgi Organization 1 (TANGO1) protein plays a substantial role in the transfer from the Endoplasmic Reticulum (ER) to the Golgi apparatus. TANGO1 and related proteins organize the ER exit sites and generate large export structures within the cytosol while anchored to the ER membrane. In contrast to other proteins involved, TANGO1 features a folded domain in the ER lumen, which seems to be central for detecting cargos. This cargo-recognition domain has been shown to bind the collagen-specific chaperone HSP47 (Ishikawa et al. 2016) as well as type IV collagen directly (Arnolds and Stoll 2023). However, the exact molecular mechanism of these interactions remains unknown. The resonance assignments presented here lay the foundation for the experiments studying the binding process on a molecular level and is designed to facilitate investigations into how TANGO1 detects and selects the cargos to be exported.
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.
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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.