Back to search

Article

Machine learning of three-dimensional protein structures to predict the functional impacts of genome variation

2023-10-28

Abstract excerpt

Research in the human genome sciences generates a substantial amount of genetic data for hundreds of thousands of individuals, which concomitantly increases the number of variants with unknown significance (VUS). Bioinformatic analyses can successfully reveal rare variants and variants with clear associations to disease-related phenotypes. These studies have made a significant impact on how clinical genetic screen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e79b7433-b8d0-51b1-9c55-f610e194fe63
DOI
10.1101/2023.10.27.564415
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine learning of three-dimensional protein structures to predict the functional impacts of genome variationDOI 10.1101/2023.10.27.564415
Select a neighboring publication to make it the new centre.