In Silico Analysis of 10000 Genomic Sequences of COVID-19 around the World including India to Identify Genetic Variability and potential Molecular Targets in Virus and Human | Pandemic PACT Tracker

Key facts

Disease
COVID-19
start year
-99
Known Financial Commitments (USD)
$0
Funder
SERB India
Principal Investigator
Dr. Indrajit Saha
Research Location
India
Lead Research Institution
National Institute of Technical Teachers Training and Research, Kolkata
Research Priority Alignment
N/A

Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen genomics, mutations and adaptations
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable

Abstract

Computational identification and validation of COVID-19 molecular targets

Publicationslinked via Europe PMC

Last Updated:2 days ago

View all publications at Europe PMC

Transcription Factor Driven Gene Regulation in COVID-19 Patients.

Interactome-Based Machine Learning Predicts Potential Therapeutics for COVID-19.

Identification of Human miRNA Biomarkers Targeting the SARS-CoV-2 Genome.

Unveiling the Biomarkers of Cancer and COVID-19 and Their Regulations in Different Organs by Integrating RNA-Seq Expression and Protein-Protein Interactions.

Bioinformatics pipeline unveils genetic variability to synthetic vaccine design for Indian SARS-CoV-2 genomes.

A review on evolution of emerging SARS-CoV-2 variants based on spike glycoprotein.

Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses.

Human miRNAs to Identify Potential Regions of SARS-CoV-2.

Phylogenetic analysis of 17271 Indian SARS-CoV-2 genomes to identify temporal and spatial hotspot mutations.