Ion-pairs are central charged motifs that control the biological function of several proteins. Yet, the physical principles linked to the formation of ion-pairs during protein folding remain poorly understood. Here, we show that buried ion-pairs of de novo-designed helical bundle proteins reshape the folding pathways by introducing kinetic barriers that are overcome by a hydrophobic collapse linked to packing of the protein core. By combining protein design with co-translational folding studies, nuclear magnetic resonance (NMR) spectroscopy, and molecular dynamics simulations, we show that introduction of a buried ion-pair leads to a shifted folding transition that balances desolvation and electrostatic interactions within the protein and the bulk solvent. Moreover, we find that the folding pathway is sensitive to modifications in non-polar interactions and motifs that electrostatically shield the ion-pair from its surroundings. Our combined findings provide a blueprint for understanding how functional motifs affect protein folding and how mutation of charged networks alter the stability of proteins.
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.
