Oct 2026· Protein Science· Vol 35· 0 citations· 39 references
Medicine
Abstract
Abstract Proteins evolve allosteric mechanisms through sequence variation while preserving a conserved structural fold. How these substitutions reshape the protein's conformational landscape to drive functional diversification remains poorly understood. Members of the cAMP receptor protein family (CRP), a ubiquitous bacterial transcription factor, share a common architecture yet differentially couple cAMP binding to DNA interactions. Here, our results support a model in which allosteric diversification in CRP arises from the tuning of sequence‐encoded protein's conformational dynamics. Comparative analysis of sequence conservation and helical propensity across proteobacterial and actinobacterial CRPs reveals lineage‐specific distributions of conformational heterogeneity within the dimerization C‐helix. These evolutionary patterns map onto the proteobacterial Escherichia coli (E. coli) CRP and the actinobacterial Mycobacterium tuberculosis (MTB) CRP, two protein homologs that respond to cAMP through distinct allosteric mechanisms. Guided by functional and evolutionary differences, we introduced CRP E. coli ‐inspired C‐helix substitutions into CRP MTB to identify sequence, structural and conformational features that contribute to the divergent allosteric behavior in CRP MTB . The resulting C‐helix variants preserved the global fold, but displayed altered thermodynamic stability, cAMP binding affinity and cooperativity, DNA recognition properties, and promoter‐associated oligomerization. Among these, the C‐helix hinge residue, N135, emerges as an allosteric node that redistributes cAMP‐induced conformational responses, modulating DNA binding. Together, our results identify the C‐helix as an evolvable hotspot where sequence changes reweight conformational ensembles and generate distinct allosteric outputs within a conserved protein scaffold.
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.