Publications by authors named "Shiva Satija"

Aging involves metabolic changes that lead to reduced cellular fitness, yet the role of many metabolites in aging is unclear. Understanding the mechanisms of known geroprotective molecules reveals insights into metabolic networks regulating aging and aids in identifying additional geroprotectors. Here we present AgeXtend, an artificial intelligence (AI)-based multimodal geroprotector prediction platform that leverages bioactivity data of known geroprotectors.

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Article Synopsis
  • The cellular genome acts as a dynamic blueprint that can be altered due to internal and external stresses, which impacts how cells function.
  • The balance between DNA repair mechanisms and the harmful effects of genotoxins determines the extent of this genomic change, particularly through the formation of DNA adducts that can cause mutations or alter the epigenome.
  • The review discusses the potential of AI-driven modeling to enhance our understanding of DNA adducts, including predictive modeling for adduct formation, identification of new adducts, and predicting their behaviors and effects within the genome.
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Purpose: Dengue virus is a life-threatening virus and cases of dengue infection have been increasing steadily in the past decades causing millions of deaths every year. So far, there is no vaccine that works effectively on all serotypes. Recently, CpG-recoded vaccines have proved to be effective against few viruses.

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has resulted in 92 million cases in a span of 1 year. The study focuses on understanding population-specific variations attributing its high rate of infections in specific geographical regions particularly in the United States. Rigorous phylogenomic network analysis of complete SARS-CoV-2 genomes (245) inferred five central clades named a (ancestral), b, c, d, and e (subtypes e1 and e2).

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