Articles producció científicaBioquímica i Biotecnologia

Challenges in distinguishing functional proteins from polyproteins in databases: implications for drug discovery

  • Identification data

    Identifier:  imarina:9368068
    Authors:  Llop-Peiró, A; Pujadas, G; Garcia-Vallvé, S
    Abstract:
    This opinion article addresses a major issue in molecular biology and drug discovery by highlighting the complications that arise from combining polyproteins and their functional products within the same database entry. This problem, exemplified by the discovery of novel inhibitors for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease, has an influence on our ability to retrieve precise data and hinders the development of targeted therapies. It also emphasizes the need for improved database practices and underscores their significance in advancing scientific research. Furthermore, it emphasizes the need of learning from the SARS-CoV-2 pandemic in order to improve global preparedness for future health crises.
  • Others:

    Link to the original source: https://academic.oup.com/bib/article/25/2/bbae012/7596255?login=false
    APA: Llop-Peiró, A; Pujadas, G; Garcia-Vallvé, S (2024). Challenges in distinguishing functional proteins from polyproteins in databases: implications for drug discovery. Briefings In Bioinformatics, 25(2), bbae012-. DOI: 10.1093/bib/bbae012
    Paper original source: Briefings In Bioinformatics. 25 (2): bbae012-
    Article's DOI: 10.1093/bib/bbae012
    Journal publication year: 2024-01-22
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-05-09
    URV's Author/s: Garcia Vallve, Santiago / LLOP PEIRÓ, ARIADNA / Pujadas Anguiano, Gerard
    Department: Bioquímica i Biotecnologia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Llop-Peiró, A; Pujadas, G; Garcia-Vallvé, S
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Biochemical research methods, Biodiversidade, Biotechnology & applied microbiology, Ciência da computação, Ciências biológicas i, Information systems, Mathematical & computational biology, Medicine (all), Molecular biology
    Author's mail: ariadna.llop@urv.cat, santi.garcia-vallve@urv.cat, gerard.pujadas@urv.cat
  • Keywords:

    Covid-19
    Cysteine endopeptidases
    Drug discovery
    Drug research
    Humans
    Molecular databases
    Molecular docking simulation
    Polyproteins
    Sars-cov-2
    Biochemical Research Methods
    Biotechnology & Applied Microbiology
    Information Systems
    Mathematical & Computational Biology
    Molecular Biology
    Biodiversidade
    Ciência da computação
    Ciências biológicas i
    Medicine (all)
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