Biological systems often regulate catalysis by organizing enzymes within dense, multivalent, and nanostructured environments. Nanomaterials can recreate selected features of these environments, but their effects on enzymes range from inhibition to activity enhancement depending on the chemistry of their surface ligands. Here, we show that the same surface ligand can produce dramatically different catalytic outcomes when templated onto distinct nanoparticle geometries. Inspired by peptide- and protein-rich biological environments, we displayed a short peptide ligand as a dense, multivalent array on gold nanoparticles with 10 distinct architectures, including spheres of different diameters, nanocubes, nanorods, nanobipyramids, and nanostars with varying branching densities. Using lactoperoxidase as a model enzyme, we found that all peptide-functionalized nanoparticles enhanced activity relative to free lactoperoxidase, but the magnitude of enhancement depended strongly on particle morphology, ranging from ∼1.8-fold on nanocubes to ∼11.3-fold on highly branched nanostars. Mechanistic studies showed that these differences could not be explained solely by enzyme binding affinity or substrate enrichment. Instead, kinetic analysis, circular dichroism spectroscopy, mixed-ligand experiments, and peptide-loading comparisons support a model in which nanoparticle surfaces template distinct peptide arrangements that induce controlled enzyme perturbations and increase apparent catalytic turnover. To show the importance of the displayed peptide ligand on enzyme regulation, we translated the enhancing peptide motif to silica nanoparticles. These peptide-functionalized silica nanoparticles also increased lactoperoxidase activity, and additionally improved thermal stability. Together, these findings establish nanoparticle-templated peptide presentation as a programmable, core-translatable strategy for tuning enzyme activity and stability.
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
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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.