Nisin is a widely used antimicrobial peptide with strong inhibitory activity against Gram-positive bacteria and growing interest for broader biomedical applications. However, its practical use is limited by susceptibility to environmental conditions, reduced stability, and rapid inactivation. Encapsulation has emerged as an effective strategy to overcome these limitations by protecting contents from environmental exposure, thus improving stability and enabling controlled release. In this study, yeast virus–like particles were explored as a nanodelivery system for nisin, with antibacterial activity and cytotoxicity evaluated. Nisin was successfully loaded into three types of yeast virus-like particles (Y-L-A, Y-L-BC, and B-L-BC), achieving 76.8–89.3% loading capacity while preserving particle sizes of 35.0–50.6 nm and a symmetrical spherical morphology. Nisin-loaded nanoparticles demonstrated antibacterial activity against Gram-positive bacteria, with the strongest inhibitory effect against Streptococcus pyogenes , while activity against Gram-negative bacteria remained low. Compared with free nisin, VLP-associated nisin exhibited moderately higher (1.2-10.1-fold) minimum inhibitory concentration values. Studies using the A549 human lung carcinoma epithelial cell line demonstrated that nisin-induced cytotoxicity was delayed when nisin was loaded into Y-L-BC and B-L-BC nanoparticles. These findings confirm the suitability of yeast virus–like nanoparticles for loading and time-constrained release of nisin, constituting a promising platform for nisin nanodelivery.
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.
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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.