Background. Alternative oxidase (AOX) is a mitochondrial terminal oxidase that provides an alternative route for electron transfer, contributing to respiratory flexibility and redox homeostasis under stress conditions. In trypanosomatids, AOX displays a highly uneven distribution associated with extensive diversification of mitochondrial electron transport chains (ETCs). In addition to canonical AOX, many trypanosomatids encode an enigmatic AOX-like protein (AOX-L), whose evolutionary origin and functional significance remain unresolved. Results. Here, we investigated the evolutionary distribution, phylogenetic relationships, structural conservation, and functional divergence of AOX and AOX-L across euglenozoans. Comparative genomic analyses revealed a patchy distribution of both proteins among kinetoplastids, with multiple independent losses during evolution. Phylogenetic analyses demonstrated that AOX and AOX-L represent distinct evolutionary lineages, indicating independent origins rather than duplication-derived divergence. While AOX showed a conserved eukaryotic origin, AOX-L occupied a separate phylogenetic position and lacked key residues required for ubiquinol oxidation. Structural modelling revealed that AOX-L retained the characteristic AOX fold, predicted membrane association, and dimeric organization, but lacked the catalytic architecture necessary for enzymatic activity. Transcriptomic and biochemical analyses of four AOX-containing trypanosomatid species showed that AOX expression and activity correlated with mitochondrial ETC organization. Species lacking cytochrome-dependent complexes III and IV displayed substantially higher AOX expression and enzymatic activity, consistent with AOX functioning as the primary terminal oxidase in these lineages. Conversely, species retaining a canonical ETC exhibited lower AOX activity, suggesting a role in metabolic flexibility and redox regulation. Conclusions. Our study provides a comprehensive evolutionary and functional framework for alternative oxidases in trypanosomatids. We demonstrate that AOX and AOX-L are evolutionarily distinct proteins with different predicted functions: AOX maintains respiratory electron flow according to lineage-specific mitochondrial requirements, whereas AOX-L represents a structurally conserved but catalytically inactive protein family that may have acquired an alternative regulatory role. These findings highlight how mitochondrial respiratory components diversify during eukaryotic evolution and provide a basis for future investigations into the biological function of AOX-L.
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.