Back to search

Article

Benchmarking the accuracy of structure-based binding affinity predictors on Spike-ACE2 Deep Mutational Interaction Set

2022-04-18

Abstract excerpt

<h4>ABSTRACT</h4> Since the start of COVID-19 pandemic, a huge effort has been devoted to understanding the Spike (SARS-CoV-2)-ACE2 recognition mechanism. To this end, two deep mutational scanning studies traced the impact of all possible mutations across Receptor Binding Domain (RBD) of Spike and catalytic domain of human ACE2. By concentrating on the interface mutations of these experimental data, we benchmarke...

Topics

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

Identifiers and source

Literature Corpus work
b37fd681-a02d-5a33-ad67-aeda588f55bf
DOI
10.1101/2022.04.18.488633
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.
Benchmarking the accuracy of structure-based binding affinity predictors on Spike-ACE2 Deep Mutational Interaction SetDOI 10.1101/2022.04.18.488633
Select a neighboring publication to make it the new centre.