Bromodomain and extra-terminal (BET) proteins are validated therapeutic targets for cancer, but clinical translation of pan-BET inhibitors is limited by dose-limiting toxicities from non-selective inhibition of BD1/BD2 domains. Herein, we report the first-ever domain-selective covalent inhibitor, named ipAE1, of BET BD2 domains by installing an epoxide warhead onto the scaffold of ABBV-744. ipAE1 was shown to irreversibly modify Glu438 and His437 (to a lesser extent) located within the BRD4(2) binding pocket via a dual-covalent mechanism, as evidenced by its chemical probe pAE1. Furthermore, ipAE1 exhibited exceptional potency against BRD4(2) (Kd = 0.096 nM) with > 1900-fold selectivity over BRD4(1), leading to potent and sustained antiproliferative activity in MV4-11 cells (GI50 = 1.5 nM). Subsequent live-cell proteome-wide profiling validated BRD4 as the primary cellular target of ipAE1. Consistent with cellular activities, ipAE1 possessed a significantly enhanced antitumor efficacy in an MV4-11 xenografted mouse model compared to ABBV-744, presumably due to its on-target covalent engagement in vivo. Our study thus establishes for the first time a novel targeted covalent inhibition (TCI) strategy that engages two weakly nucleophilic residues within a single bromodomain, an approach generalizable to other compounds targeting E/H, providing a highly selective platform for future development of next-generation BET inhibitors.
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.