Oct 2026· ACS Chemical Biology· 0 citations· 30 references
Medicine
TL;DR
C29 is defined as a high-affinity Kme3-binding Cbx1 chromodomain variant and supported as an affinity reagent for Kme3-containing peptide enrichment to support its further evaluation as an affinity reagent for Kme3-containing peptide enrichment.
Abstract
Directed evolution is a powerful and versatile strategy for engineering proteins with enhanced affinity and tailored molecular recognition properties. Here, we applied phage display-guided directed evolution to enhance the binding of the wild-type Cbx1 chromodomain (Cbx1-CD) to an H3K9me3-containing peptide. Screening a soft-randomized library targeting residues surrounding the aromatic cage yielded C29, which bound the H3K9me3 peptide with a KD of 57 nM and exhibited an approximately 14-fold lower dissociation rate constant than Cbx1-CD. Across an H3K9me3-derived alanine-scanning series and a peptide panel, C29 showed stronger binding signals than Cbx1-CD for multiple peptides containing trimethyllysine (Kme3), suggesting lower flanking-sequence dependence for C29 than for Cbx1-CD. An AlphaFold3 model of the C29-H3K9me3 complex suggested local changes in the hydrophobic and electrostatic environment surrounding the Kme3-binding pocket, providing a mechanistic hypothesis for C29's enhanced affinity and reduced flanking-sequence dependence. When two Kme3-containing peptides were spiked into a 100-fold molar excess of unmodified background peptides, C29-conjugated beads effectively enriched both Kme3 peptides relative to the unmodified background. These findings define C29 as a high-affinity Kme3-binding Cbx1 chromodomain variant and support its further evaluation as an affinity reagent for Kme3-containing peptide enrichment.
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.