genome editing

Neural networks probe proteins

A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.

When science spills onto social media

Vanderbilt researchers report that social media posts can offer insights into how the public feels about genome editing, with stances varying across platforms and differing from those of academics and policy makers.