A tunable autonomous RNA-fueled micro-engine

The code used for particle tracking is based on the publicly available Trackpy package (https://github.com/soft-matter/trackpy). The custom Python scripts developed for kinetic analysis, including double-exponential weighted fitting and model simulations, are available in a public GitHub repository (https://github.com/kw2556nyu/A_Tunable_Autonomous_RNA_Fueled_Micro_Engine_Analysis_Code.git) and archived with the permanent identifier https://doi.org/10.5281/zenodo.18173464. The analysis relies on standard open-source libraries (NumPy, SciPy, Matplotlib) as specified in the repository documentation.

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Authors and Affiliations

1. Department of Physics, New York University, New York, NY, USA

   Kun Wang, Wenjun Chen, Buming Guo, Heng Ni, Lei Zhang & Paul M. Chaikin

2. Department of Chemistry, New York University, New York, NY, USA

   Qiuyan Huang, Ruojie Sha & Nadrian C. Seeman

3. Department of Chemistry, Biochemistry and Physics, Fairleigh Dickinson University, Madison, NJ, USA

   Guolong Zhu & Melanie Perez

Contributions

Project conceptualization was led by P.M.C., N.C.S., R.S., and K.W. Sample fabrication and preparation were performed by K.W. Experimental procedures and data analysis were conducted by K.W., W.C., G.Z., Q.H., B.G., P.M.C., and N.C.S.; Overall project oversight and coordination were carried out by P.M.C. and N.C.S. The initial manuscript draft was prepared by P.M.C. and K.W. The revision experiments were conducted by G.Z., M.P., and L.Z.

Corresponding authors

Correspondence to Kun Wang or Paul M. Chaikin.

Competing interests

The authors declare no competing interests.

Peer review information

Nature Communications thanks Khalid Salaita, Luona Zhang, and Ryota Iino for their contribution to the peer review of this work. A peer review file is available.

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