Rapid and accurate diagnosis of viral and bacterial infections is a significant challenge in medicine and veterinary science, especially in the case of epidemically dangerous pathogens. The African swine fever virus (ASFV) causes annual outbreaks among livestock, causing in significant economic losses for farmers. Artificial recognition elements, DNA aptamers, have been identified as a suitable tool for point-of-care diagnostics due to their high affinity and specificity for the target, as well as stability at ambient temperatures during storage. This study reports for the first time on DNA aptamers that can bind ASFV particles. The aptamers were generated using a single-round selection process; they bound to both recombinant p54 protein and ASFV particles as well as exhibited antiviral properties. Functional activity of one of the aptamers depended on Ni2+, which was a dopant during the selection process; this cation increased aptamer affinity by 100-fold. A combination of techniques was used to predict the structure of Ni2+-regulated aptamer identifying a new non-canonical DNA motif. Cation-dependent regulation of aptamer activity is promising as it allows regeneration of affine carriers and biosensors with chelating agents, while addition of Ni2+ restores the high-affine aptamer conformation.
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.