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  1. Article ; Online: QPromoters

    Devang Haresh Liya / Mirudula Elanchezhian / Mukulika Pahari / Nithishwer Mouroug Anand / Shivani Suresh / Nivedha Balaji / Ashwin Kumar Jainarayanan

    All Life, Vol 16, Iss

    sequence based prediction of promoter strength in Saccharomyces cerevisiae

    2023  Volume 1

    Abstract: Promoters play a key role in influencing transcriptional regulation for fine-tuning the expression of genes. Heterologous promoter engineering has been a widely used concept to control the level of transcription in all model organisms. The strength of a ... ...

    Abstract Promoters play a key role in influencing transcriptional regulation for fine-tuning the expression of genes. Heterologous promoter engineering has been a widely used concept to control the level of transcription in all model organisms. The strength of a promoter is mainly determined by its nucleotide composition. Many promoter libraries have been curated, but few have attempted to develop theoretical methods to predict the strength of promoters from their nucleotide sequence. Such theoretical methods are not only valuable in the design of promoters with specified strength but are also meaningful in understanding the mechanistic role of promoters in transcriptional regulation. In this study, we present a theoretical model to describe the relationship between promoter strength and nucleotide sequence in Saccharomyces cerevisiae. We infer from our analysis that the −49–10 sequence with respect to the Transcription Start Site represents the minimal region that can be used to predict promoter strength. https://qpromoters.com/ and a standalone tool https://github.com/DevangLiya/QPromoters to quickly quantify the strength of Saccharomyces cerevisiae promoters.
    Keywords computational life sciences ; bioinformatics and system biology ; Biotechnology ; TP248.13-248.65 ; Life ; QH501-531
    Subject code 570
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A comprehensive SARS-CoV-2 genomic analysis identifies potential targets for drug repurposing.

    Nithishwer Mouroug Anand / Devang Haresh Liya / Arpit Kumar Pradhan / Nitish Tayal / Abhinav Bansal / Sainitin Donakonda / Ashwin Kumar Jainarayanan

    PLoS ONE, Vol 16, Iss 3, p e

    2021  Volume 0248553

    Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) was initially reported in December 2019 in Wuhan City, China. This acute infection caused pneumonia-like symptoms and other respiratory ... ...

    Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) was initially reported in December 2019 in Wuhan City, China. This acute infection caused pneumonia-like symptoms and other respiratory tract illness. Its higher transmission and infection rate has successfully enabled it to have a global spread over a matter of small time. One of the major concerns involving the SARS-COV-2 is the mutation rate, which enhances the virus evolution and genome variability, thereby making the design of therapeutics difficult. In this study, we identified the most common haplotypes from the haplotype network. The conserved genes and population level variants were analysed. Non-Structural Protein 10 (NSP10), Nucleoprotein, Papain-like protease (Plpro or NSP3) and 3-Chymotrypsin like protease (3CLpro or NSP5), which were conserved at the highest threshold, were used as drug targets for molecular dynamics simulations. Darifenacin, Nebivolol, Bictegravir, Alvimopan and Irbesartan are among the potential drugs, which are suggested for further pre-clinical and clinical trials. This particular study provides a comprehensive targeting of the conserved genes. We also identified the mutation frequencies across the viral genome.
    Keywords Medicine ; R ; Science ; Q
    Subject code 572
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: A Comprehensive SARS-CoV-2 Genomic Analysis Identifies Potential Targets for Drug Repurposing

    Nithishwer Mouroug Anand / Devang Haresh Liya / Arpit Kumar Pradhan / Nitish Tayal / Abhinav Bansal / Sainitin Donakonda / Ashwin Kumar Jainarayanan

    2020  

    Abstract: Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) initially reported in December 2019 in Wuhan City, China causing pneumonia-like symptoms and other respiratory tract illness. It’ ...

    Abstract Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) initially reported in December 2019 in Wuhan City, China causing pneumonia-like symptoms and other respiratory tract illness. It’s higher transmission and infection rate has successfully enabled it to have a global spread over a matter of small time. With 6,529,240 cases and about 385,264 deaths, this pandemic has become a global concern with certain drugs and vaccines failing at later clinical trials. Materials and Methods: Phylogenetic Analysis, Haplotype Network, Analysis of conserved genes and population-level variants, Using conserved genes as targets for drug designing, Docking studies and Molecular Dynamics (MD) simulations to predict the stability of Drug-Ligand Complex. Results: We identified the most common haplotypes from the haplotype network and at least seven different clusters were found signifying seven different viral lineages across the globe. We studied the mutation frequency across the SARS-CoV-2 viral genome. The conserved genes and population level variants were analyzed and NSP10, Nucleoprotein, Plpro and 3CLpro which were conserved at the highest threshold were used as drug targets for molecular dynamics simulations. Darifenacin, Nebivolol, Bictegravir, Alvimopan and Irbesartan are among the potential drugs which are suggested for further pre-clinical and clinical trials. Significance: This particular study provides a comprehensive targeting of the conserved genes as a novel approach for drug targeting. The conserved gene approach could also be of a big use while designing vaccines and cure. Mutations in the viral genome make the designing of the drugs a challenging task which has a higher risk of failure at later clinical trials. This approach of targeting the stable genes for drug discovery would provide a better therapeutic approach and confidence in the successive clinical trials. We also identified the global level spread of SARS-CoV-2 and mutation frequencies across the viral genome. Our study gives insights of the origin and global spread of the SARS-CoV-2. The data provided in this study can further be used by other groups to understand and combat Covid 19.
    Keywords Bioinformatics and Computational Biology ; COVID 19 ; coronavirus ; SARS-CoV-2 ; SARS-CoV ; Haplotype network ; Phylogenetic Analysis ; MD simulation ; Drug-Ligand interactions ; Mutation Frequency ; Docking ; Population level variants ; covid19
    Subject code 572
    Publishing date 2020-06-05T13:22:23Z
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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