Sep 2026· ACS Chemical Biology· 0 citations· 44 references
Medicine
Abstract
Fluorescent indicators are indispensable imaging tools for visualizing the spatiotemporal dynamics of biological processes. Red fluorescent indicators are in particularly high demand because they offer compatibility with existing green fluorescent indicators or optogenetic tools, and longer wavelength fluorescence has inherent advantages for biological applications. We previously described a chemigenetic indicator design that combines a green fluorescent protein and a synthetic chelator in an effort to combine the advantages of conventional protein-based biosensors and synthetic chemosensors. We now demonstrate that this chemigenetic design can be extended to red fluorescent proteins. Through screening of variants with a range of chromophore-chelator orientations, followed by directed evolution, we developed a red fluorescent calcium ion (Ca2+) indicator with 5.4-fold fluorescence intensity change when going from 0 to 39 μM Ca2+ with purified proteins. Although the functionality of the current version is lost when expressed in mammalian cells and the selectivity is low, these results establish this chemigenetic design as a strategy that can be extended to other fluorescent protein color variants.
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.
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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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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 sequence constraints.
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.