Emergence and evolution of functional RNA and protein structures are the central problems for understanding the origin of life. Although it is well known that catalytically active RNA elements, ribozymes, can catalyze many reactions 1–3, including peptide bond formation, the specifics of the transition from the hypothetical, primordial RNA world 4–6 to protein-based life centered at the translation system remain enigmatic 7–9. We developed AMES, Atomistic Molecular Evolution Simulator, and employed it to perform computer simulations of the evolution of short RNA molecules and RNA-peptide complexes. Comparison of the evolutionary trajectories and the structures of RNA molecules and RNA-peptide complexes emerging in these simulations shows that short random peptides accelerate RNA evolution, stabilize RNA folds, and boost the structural diversity of evolving RNA molecules, potentially enabling a broader range of activities. We hypothesize that the RNA world was, actually, an ‘RNA-peptide world’, in which, from the earliest stages of evolution, evolving RNA molecules interacted with short random peptides synthesized in a non-templated manner. These interactions could drive the evolution of diverse RNA structures and activities, and eventually, of the translation machinery.
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.