ArticleInformatics in medicine unlocked2021
Computational prediction of potential siRNA and human miRNA sequences to silence orf1ab associated genes for future therapeutics against SARS-CoV-2.
Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Strategic Computational Design of siRNA Molecules Targeting Structural Genes of SARS-CoV-2.Applied biochemistry and biotechnology · 2026Article
- Beyond Variant Evolution: Structurally and Functionally Conserved Regions in the 5'UTR of SARS-CoV-2 as Resilient Antiviral Targets.Biomedicines · 2026Article
- HMPV-TherResDB: Comprehensive human metapneumovirus (HMPV) database for sequence-structure annotations, vaccine resources, and therapeutics research.Virus research · 2026Article
- Therapeutic Approaches of Viral Gene Silencing by Small Interfering RNA: Strategies to Prevent the Emergence of Antiviral Resistant Escape Mutants.Pharmaceuticals (Basel, Switzerland) · 2025Review
- In Silico and In Vitro development of novel small interfering RNAs (siRNAs) to inhibit SARS-CoV-2.Computational and structural biotechnology journal · 2025Article
- An ncRNA transcriptomics-based approach to design siRNA molecules against SARS-CoV-2 double membrane vesicle formation and accessory genes.BMC infectious diseases · 2023Article
- Potential of siRNA in COVID-19 therapy: Emphasis onFrontiers in bioengineering and biotechnology · 2023Review
- Gene Network Analysis of the Transcriptome Impact of SARS-CoV-2 Interacting MicroRNAs in COVID-19 Disease.International journal of molecular sciences · 2022Review
- Nanoparticle Delivery Platforms for RNAi Therapeutics Targeting COVID-19 Disease in the Respiratory Tract.International journal of molecular sciences · 2022Review
- Targeting genomic SARS-CoV-2 RNA with siRNAs allows efficient inhibition of viral replication and spread.Nucleic acids research · 2022Article
- Development and application of ribonucleic acid therapy strategies against COVID-19.International journal of biological sciences · 2022Review
- Dysregulation of RNA interference components in COVID-19 patients.BMC research notes · 2021Article
- Inhibition of SARS-CoV-2 Replication by a Small Interfering RNA Targeting the Leader Sequence.Viruses · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) is an ongoing pandemic caused by an RNA virus termed as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). SARS-CoV-2 possesses an almost 30kbp long genome. The genome contains open-reading frame 1ab (ORF1ab) gene, the largest one of SARS-CoV-2, encoding polyprotein PP1ab and PP1a responsible for viral transcription and replication. Several vaccines have already been approved by the respective authorities over the world to develop herd immunity among the population. In consonance with this effort, RNA interference (RNAi) technology holds the possibility to strengthen the fight against this virus. Here, we have implemented a computational approach to predict potential short interfering RNAs including small interfering RNAs (siRNAs) and microRNAs (miRNAs), which are presumed to be intrinsically active against SARS-CoV-2. In doing so, we have screened miRNA library and siRNA library targeting the ORF1ab gene. We predicted the potential miRNA and siRNA candidate molecules utilizing an array of bioinformatic tools. By extending the analysis, out of 24 potential pre-miRNA hairpins and 131 siRNAs, 12 human miRNA and 10 siRNA molecules were sorted as potential therapeutic agents against SARS-CoV-2 based on their GC content, melting temperature (T
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.