Aromatic derivatives of β-galactosides are potent inhibitors of the LecA lectin, a key virulence factor of Pseudomonas aeruginosa, involved in host recognition, tissue adhesion and biofilm formation. This opportunistic bacterial pathogen is considered a serious global health threat, particularly due to the emergence of multidrug-resistant strains. Anti-adhesive and anti-biofilm compounds represent promising alternatives or complements to conventional antibiotic therapies. The design of such pathoblockers requires detailed structural insights into their interactions with the target protein. Neutron macromolecular crystallography (NMX) provides complementary structural information to X-ray diffraction (XRD), by enabling the localization of hydrogen atoms, but typically requires the use of deuterium-labeled molecules. We developed a unique approach combining bacterial production of deuterated galactose and its functionalization with a deuterated phenyl group, resulting in the first synthesis of perdeuterated phenyl-β-galactoside, PheβGal-d16. The structure of the deuterated bacterial receptor LecA in complex with PheβGal-d16 was determined using neutron diffraction, providing experimental localization of hydrogen atoms involved in hydrophobic contacts with the Pro38 and Gln53 residues, and in the unusual T-shaped π-stacking interaction with His50. These observations rationalize the 10-fold affinity increase measured for an aromatic β-galactoside compared to galactose.
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.