Machine learning-guided channelrhodopsin engineering enables minimally-invasive optogenetics
C. N. Bedbrook, K. K. Yang, J. E. Robinson, V. Gradinaru, F. H. Arnold
The paper engineers light-gated channelrhodopsins with high photocurrent and light sensitivity, enabling minimally-invasive optogenetics without invasive surgery or implants.
bioRxiv · Mar 3, 2019Bioengineering