Raspberry ketone (RK) is a high-value flavor and fragrance compound widely used in the food, beverage, and cosmetic industries. However, existing biosynthetic routes largely rely on native metabolic pathways that involve multiple enzymatic steps and exhibit limited production efficiency. Here, we designed and constructed a retrosynthesis-guided artificial biosynthetic pathway for cell-free RK production. The pathway combines an artificial aldolase (ALD) with the native benzalacetone reductase (BAR) to convert 4-hydroxybenzaldehyde and acetone into RK through only two enzymatic steps. Following optimization of enzyme architecture and reaction conditions, the system produced 1.33 mM RK with a 66% conversion yield. We further extended this platform to the synthesis of the cardiotonic drug dobutamine through a non-natural reductive amination cascade using an engineered short-chain dehydrogenase/reductase (SDR). Rational protein engineering and byproduct recycling increased dobutamine production by approximately 104-fold relative to the wild-type enzyme. Both biosynthetic modules remained robust upon scale-up from microliter to milliliter volumes, and preparative-scale synthesis enabled isolation of 19.2 mg of RK. Overall, this work establishes artificial biosynthetic pathways for the production of a plant-derived natural product and a clinically relevant drug molecule, highlighting the potential of cell-free biomanufacturing as a sustainable platform for the synthesis of value-added chemicals and pharmaceuticals.
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.