Back to search

Article

Using iCn3D and the World Wide Web for structure-based collaborative research: Analyzing molecular interactions at the root of COVID-19

2020-07-02

Abstract excerpt

<h4>ABSTRACT</h4> The COVID-19 pandemic took us ill-prepared and tackling the many challenges it poses in a timely manner requires world-wide collaboration. Our ability to study the SARS-COV-2 virus and its interactions with its human host in molecular terms efficiently and collaboratively becomes indispensable and mission-critical in the race to develop vaccines, drugs, and neutralizing antibodies. There is alre...

Topics

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

Identifiers and source

Literature Corpus work
aa0ce256-ef32-5fe5-90f8-92e4becd27e9
DOI
10.1101/2020.07.01.182964
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.
Using iCn3D and the World Wide Web for structure-based collaborative research: Analyzing molecular interactions at the root of COVID-19DOI 10.1101/2020.07.01.182964
Select a neighboring publication to make it the new centre.