The two paralogs YAP and TAZ act through TEAD transcription factors and bind PPxY motif proteins in the Hippo pathway via WW domains. YAP has up to two WW domains, whereas TAZ has one. Because YAPWW1 and TAZWW are the most similar in sequence, they can be considered as corresponding modules in these two proteins. This study shows that, despite their similarity, they differ strongly in conformational stability and in how they bind flexible ligands. Nano-differential scanning fluorimetry, circular dichroism, and NMR indicate that both isolated domains populate partially folded or exchanging states in solution, but TAZWW is more thermally stable and has a larger folded population. Peptide binding stabilizes both domains, producing sharper NMR signals. Surface plasmon resonance measurements with PPxY peptides show micromolar affinities and generally modest differences between YAPWW1 and TAZWW, although these differences increase for conformationally plastic ligands. A high resolution LATS2:YAPWW1 crystal structure and molecular dynamics simulations suggest that preorganized peptides bind more tightly and less selectively, while flexible peptides incur larger binding penalties that dynamic YAPWW1 compensates more effectively. These observations indicate that differences in WW-domain stability contribute to subtle YAP/TAZ binding preferences despite conserved binding surfaces and evolutionary relatedness between the paralogs.
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.