Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2.
basic_science · Level V
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- Record sourced from PubMed, PMID 33880454.
- Also identified by DOI 10.1016/j.patter.2021.100259 and PMC identifier 8049469.
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Abstract
Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of <i>Patterns</i>, Du et al. show that applying these methods to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals potential infection targets of the virus and possible interactions between SARS-CoV-2 proteins and human proteins.