Existing biological nanopores are often too narrow to accommodate large proteins and biomolecular complexes in their native folded states, precluding the analysis of megadalton assemblies. Here, we report the self-assembly of the cholesterol-dependent cytolysin Perfringolysin O (PFO) into stable transmembrane nanopores composed of 46 ± 9 monomers, with an inner pore diameter of 28.5 ± 5.6 nm and a length of 9.8 nm. We demonstrate that despite the large size of the pore assembly, PFO pores exhibit a stable open-pore current with a high signal-to-noise ratio, making them suitable for resistive-pulse recordings. Moreover, PFO nanopores enable accurate, calibration-free, and label-free sizing of individual proteins, multi-protein complexes, and viral particles across a large molecular-weight range spanning 50 kDa to 3.4 MDa. The exceptionally large diameter of these pores enables, for the first time, resistive-pulse-based characterization of intact virus particles and ribosomes with a biological nanopore. Specifically, we determined the volume, shape, and diameter of complete capsids of recombinant adeno-associated virus serotype 2 (rAAV2) as well as capsid fragments. Finally, simultaneous analysis of molecular volume and shape resolved intact 70S ribosomes from their dissociated 30S and 50S subunits in a mixture. By extending biological nanopore sensing to single-particle characterization of large protein complexes well beyond the reach of existing pores, this approach introduces PFO nanopores as a versatile platform for label-free, single-particle analysis in solution.
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.