UFMylation is an important biological process where proteins are post-translationally modified via the covalent attachment of the ubiquitin-like modifier (UBL), ubiquitin-fold modifier-1 (UFM1). UFMylation is analogous to ubiquitination, occurring via the transfer of UFM1 across E1-, E2-, and E3-like enzymes, represented by ubiquitin-like modifier-activating enzyme 5 (UBA5), ubiquitin-fold modifier conjugating enzyme 1 (UFC1), and UFM1-specific ligase 1 (UFL1), respectively. Recent work has shown that dysregulation of UFMylation is associated with several diseases, sparking interest in characterizing its enzymes as potential drug targets. To date, only inhibitors targeting UBA5 have been identified, but no such ligands exist for UFC1. In this study, we present the structure of UFC1 in complex with the sulfonic acid CAPS, which revealed a novel ligand-binding pocket in UFC1. Using biophysical assays, coupled with X-ray crystallographic studies of UFC1 variants, we show that binding of CAPS to UFC1 appears pH-dependent and is enhanced by Tyr42. Further, our TSA data show that other sulfa- and sulfonate-based compounds induce dose-dependent destabilization of UFC1, consistent with weak but direct interactions with the enzyme. Lastly, using a UFMylation assay, we show that CAPS, along with Tyr42, may have a limited influence on UFM1 transfer to UFC1 and, consequently, downstream UFMylation of protein substrates. Nevertheless, our data indicate that the CAPS-binding pocket may serve as a design scaffold for the development of UFC1 modulators. With UFC1 emerging as a drug target, our study provides a possible avenue for the design and development of novel UFC1-specific modulators with therapeutic potential.
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 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.