Oct 2026· Metabolic Engineering· pp.
102563
· 0 citations· 34 references
Medicine
Abstract
Orthogonal DNA replication system-based continuous evolution enables user-defined genes to undergo a hypermutagenic evolutionary state through a replication process independent of the host genome, while maintaining overall cellular stability. However, its application is constrained by the relatively low mutation rate of orthogonal error-prone DNA polymerases (ep-DNAP) and by strong mutation bias during misincorporation. To address this, we developed nucleoside deaminase-assisted orthogonal DNA replication (NDAORep) systems, in which nucleoside deaminases (NDA) are coupled to orthogonal DNA replication to enhance and tune mutagenesis. NDAORep was implemented in engineered Bacillus thuringiensis and synthetic Escherichia coli systems, achieving mutation rates up to 1.16×10-4 substitutions per base pair per generation (s.p.b.), approximately 880,000-fold to the host genome with adjustable mutation bias. Using NDAORep, we rapidly evolved a strong constitutive P43 promoter to a variant with 6.88-fold higher activity after only 12 hours, compared with 8 days using ep-DNAP alone. We also evolved more efficient orthogonal aminoacyl-tRNA synthetases (aaRSs) in B. thuringiensis and E. coli, enhancing p-azido-L-phenylalanine incorporation by up to 50% and 83%, respectively. Furthermore, NDAORep enabled optimization of a synthetic formate assimilation pathway in E. coli, increasing formate assimilation 5-fold. Collectively, these results demonstrate that NDAORep accelerates the evolution of regulatory elements, protein functions, and metabolic pathways, establishing a powerful platform for metabolic engineering and synthetic biology. By coupling programmable mutational diversity with continuous selection, NDAORep enables rapid optimization of complex biological systems that are difficult to engineer through conventional approaches.
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.