Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Arghavan Alisoltani

dblp:276/1078 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-3638-2218ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics › protein structure representation
protein structure visualization
0.412020
Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence · Bioinform. 2020
Bioinformatics and computational biology
structural bioinformatics
0.412020
Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence · Bioinform. 2020
Bioinformatics and computational biology › genomics
viral genomics
0.412020
Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence · Bioinform. 2020
YearPublicationVenuePosition
2021 The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins
abstract
The unprecedented pace of the sequencing of the SARS-CoV-2 virus genomes provides us with unique information about the genetic changes in a single pathogen during ongoing pandemic. By the analysis of close to 200,000 genomes we show that the patterns of the SARS-CoV-2 virus mutations along its genome are closely correlated with the structural and functional features of the encoded proteins. Requirements of foldability of proteins' 3D structures and the conservation of their key functional regions, such as protein-protein interaction interfaces, are the dominant factors driving evolutionary selection in protein-coding genes. At the same time, avoidance of the host immunity leads to the abundance of mutations in other regions, resulting in high variability of the missense mutation rate along the genome. "Unexplained" peaks and valleys in the mutation rate provide hints on function for yet uncharacterized genomic regions and specific protein structural and functional features they code for. Some of these observations have immediate practical implications for the selection of target regions for PCR-based COVID-19 tests and for evaluating the risk of mutations in epitopes targeted by specific antibodies and vaccine design strategies.
Lukasz Jaroszewski, Mallika Iyer, Arghavan Alisoltani, Mayya Sedova, Adam Godzik
PLoS Comput. Biol.3
2020 Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence
abstract
MOTIVATION: As the COVID-19 pandemic is spreading around the world, the SARS-CoV-2 virus is evolving with mutations that potentially change and fine-tune functions of the proteins coded in its genome. RESULTS: Coronavirus3D website integrates data on the SARS-CoV-2 virus mutations with information about 3D structures of its proteins, allowing users to visually analyze the mutations in their 3D context. AVAILABILITY AND IMPLEMENTATION: Coronavirus3D server is freely available at https://coronavirus3d.org.
Mayya Sedova, Lukasz Jaroszewski, Arghavan Alisoltani, Adam Godzik
Bioinform.3