CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning.

Journal: GigaScience
Published Date:

Abstract

BACKGROUND: Literature about SARS-CoV-2 widely discusses the effects of variations that have spread in the past 3 years. Such information is dispersed in the texts of several research articles, hindering the possibility of practically integrating it with related datasets (e.g., millions of SARS-CoV-2 sequences available to the community). We aim to fill this gap, by mining literature abstracts to extract-for each variant/mutation-its related effects (in epidemiological, immunological, clinical, or viral kinetics terms) with labeled higher/lower levels in relation to the nonmutated virus.

Authors

  • Giuseppe Serna GarcĂ­a
    Dipartimento di Informazione, Elettronica e Bioingegneria, 20133 Milano Country: Italy, Italy.
  • Ruba Al Khalaf
    Dipartimento di Informazione, Elettronica e Bioingegneria, 20133 Milano Country: Italy, Italy.
  • Francesco Invernici
    Dipartimento di Informazione, Elettronica e Bioingegneria, 20133 Milano Country: Italy, Italy.
  • Stefano Ceri
  • Anna Bernasconi
    Dipartimento di Informazione, Elettronica e Bioingegneria, 20133 Milano Country: Italy, Italy.