Instruct: Identify the main category of Medrxiv papers based on the titles and abstracts
Query: Topological data analysis identifies emerging adaptive mutations in SARS-CoV-2 The COVID-19 pandemic has initiated an unprecedented worldwide effort to characterize its evolution through the mapping of mutations of the coronavirus SARS-CoV-2. The early identification of mutations that could confer adaptive advantages to the virus, such as higher infectivity or immune evasion, is of paramount importance. However, the large number of currently available genomes precludes the efficient use of phylogeny-based methods. Here we establish a fast and scalable early warning system based on Topological Data Analysis for the identification and surveillance of emerging adaptive mutations in large genomic datasets. Analyzing millions of SARS-CoV-2 genomes from GISAID, we demonstrate that topologically salient mutations are linked with an increase in infectivity or immune escape. We report on emerging potentially adaptive mutations as of January 2022, and pinpoint mutations in Variants of Concern that are likely due to convergent evolution. Our approach can improve the surveillance of mutations of concern, guide experimental studies, and aid vaccine development.
62
The categories of this paper are: orthopedics
53
The categories of this paper are: pathology
58
The categories of this paper are: hematology
4
The categories of this paper are: reproductive
63
The categories of this paper are: pain
18
The categories of this paper are: global
28
The categories of this paper are: nutrition
60
The categories of this paper are: addiction
67
The categories of this paper are: transplantation
51
The categories of this paper are: education
61
The categories of this paper are: dermatology
7
The categories of this paper are: emergency
70
The categories of this paper are: otolaryngology
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The categories of this paper are: care
27
The categories of this paper are: quality
30
The categories of this paper are: radiology