Enzymatic and chemoenzymatic cascades hold immense potential for industrial applications but are hindered by inherent instability, low atom economy, inefficient intermediate transfer, and complex enzyme immobilization processes. Here, we repurpose encapsulin, which naturally loads cargo, as a programmable nanoreactor to assemble an enzyme–nanozyme cascade inside the nanoconfined cavity (EcENN). d-Amino acid oxidase (DAAO) was fused with a targeting peptide for selective encapsulation during self-assembly, while palladium (Pd) nanozymes were biomineralized inside the same compartment for in situ toxic byproduct elimination. Molecular dynamics simulations revealed Pd nanozyme enrichment directly on the enzyme surface, minimizing intermediate diffusion losses. Consequently, EcENN showed a 7-fold increase in pyruvic acid titers in laboratory settings and presented up to a 93.1% conversion rate (versus 49.7% for free DAAO) in pilot-scale assays. Overall, this work provides a generalizable precision nanoconfinement strategy for constructing robust biocatalytic cascades, with potential in the synthesis of α-keto acid and pharmaceutical intermediates.
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.