Primate lentiviruses counteract antiviral APOBEC3 (A3) cytidine deaminases through virion infectivity factor (Vif), which recruits A3 proteins to a Cullin–RING E3 ubiquitin ligase for proteasomal degradation. While HIV-1 Vif is well characterized, HIV-2 Vif remains poorly defined due to divergent sequences. Here we report a 3.08 Å cryo-EM structure of HIV-2 Vif bound to chimpanzee A3H (cpzA3H) and E3 ligase components. HIV-2 Vif adopts a conserved global fold but engages cpzA3H through a binding interface distinct from HIV-1 Vif, achieving target recognition through numerous weak contacts distributed across an extended interface. The structure reveals a direct CBFβ–cpzA3H interface absent in HIV-1 Vif-A3H complexes, establishing CBFβ as a bivalent adaptor that actively contributes to substrate recruitment. Despite these structural differences, lysine 50 of cpzA3H is the shared ubiquitination target of both HIV-1- and HIV-2 Vif-induced degradation, revealing convergent function achieved through divergent structural solutions.
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 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.