Article

Integrative transcriptome analyses empower the anti-COVID-19 drug arsenal

2020-07-15

Abstract excerpt

<title>Abstract</title> <p>The beginning of the twenty-first century has been marked by three distinct waves of zoonotic coronavirus outbreaks into the human population. The current pandemic COVID-19 (Coronavirus disease 2019) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With a rapid infection rate, it is a global threat endangering the livelihoods of millions worldwide. Currently, a...

Topics

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

Identifiers and source

Literature Corpus work: 98d0f376-dae8-5a89-81cc-6a547a652846
DOI: 10.21203/rs.3.rs-37528/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrative transcriptome analyses empower the anti-COVID-19 drug arsenalDOI 10.21203/rs.3.rs-37528/v2Read

Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug ArsenalSemantic proximity Read

Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug ArsenalSemantic proximity Read

A Transcriptome Analysis Identifies Potential Preventive and Therapeutic Approaches Towards COVID-19Semantic proximity Read

Large Scale Profiling of SARS-CoV-2-Infected Patients Identified Potential Therapeutic Host Targets and Drug Candidates for COVID-19Semantic proximity Read

Transcriptomic Signatures and Repurposing Drugs for COVID-19 Patients: Findings of Bioinformatics AnalysesSemantic proximity Read

A systems‐level study reveals host‐targeted repurposable drugs against SARS‐CoV‐2 infectionSemantic proximity Read

A system biology approach identifies candidate drugs to reduce mortality in severely ill COVID-19 patientsSemantic proximity Read

Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approachSemantic proximity Read

Deciphering Novel SARS CoV-2 specific Disease Pathways from RNA Sequencing Data of COVID-19 Infected A549 Cells and Potential Therapeutics using Next Generation Knowledge Discovery PlatformsSemantic proximity Read

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approachesSemantic proximity Read

Identification of new drug treatments to combat COVID19: A signature-based approach using iLINCSSemantic proximity Read

Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patientsSemantic proximity Read