Sep 2026· Journal of Medicinal Chemistry· 0 citations· 66 references
Nuclear Structure and Function
Abstract
Proliferating Cell Nuclear Antigen (PCNA) plays a critical role in at least 11 distinct cellular pathways. Tumor cells express an acidic isoform of the protein (caPCNA), while nonmalignant cells express only a basic isoform (nmPCNA). We previously identified AOH1996 as a first-in-class, orally bioavailable small molecule that selectively inhibits caPCNA-mediated activities. In this study, second-generation AOH analogues with enhanced pharmacological properties were created through scaffold optimization, with AOH2.60 and AOH2.58 incorporating 3-methoxy-5-methyl substitutions (Scaffold A) and, respectively, 6-fluoro or 6-cyano on the 1-naphthoyl moiety (Scaffold D). The compounds AOH2.60 and AOH2.58 exhibited 9.6-fold and 6.6-fold increased potency across multiple cancer cell lines without affecting normal cells, and 38% and 68% greater microsomal stability relative to AOH1996, warranting further development as anticancer therapeutic agents. In cell-based assays, both compounds induced robust G2/M arrest at lower concentrations than the parent molecule and significantly enhanced transcription–replication conflicts in pancreatic cancer cells.
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
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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.