The risk of zoonotic spillover of coronaviruses poses a constant threat to humanity, as recently exemplified by SARS‑CoV-2. During the pandemic, the rapid emergence of immune escape mutations led to a loss of efficacy of both therapeutic and humoral anti‑spike antibodies, emphasizing the need for therapeutics that engage binding sites within the spike protein that are both conserved among related viruses and not under selective pressure from immune surveillance. Here, we report the development of a first-in-class fusion inhibitor cyclic peptide that targets such a site. Guided by a deep mutational scan of our earlier mRNA display hit we arrived at an analogue with 5 mutations that retains broad activity within the subgenus sarbecovirus, including against SARS-CoV-1, but shows up to 50-fold improved potency and approximately 25-fold improved solubility. Multimerization further improved IC50 by one order of magnitude to give a tetrameric construct (H4v1Az)4 that inhibits Omicron BA.2.86 replication with an IC50 of approximately 10 nM in cellular assays, including human airway epithelial cell primary cultures. Moreover, (H4v1Az)4 demonstrated significant antiviral efficacy in vivo in a Syrian golden hamster model following combined pre- and post-exposure prophylactic intranasal administration. This multimeric peptide represents a promising broadly active candidate suitable both for treatment of SARS-CoV-2 infection and for preparedness against future emerging sarbecoviruses.
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.