Publications by authors named "Felippe C Queiroz"
Article Synopsis
- Protein-peptide interactions are crucial for many biological functions and are increasingly important in drug development due to their low toxicity and small interaction areas.
- A new database called Propedia has been launched, which contains over 19,000 high-resolution structures of protein-peptide complexes and allows users to analyze these interactions in detail.
- Propedia uses advanced clustering algorithms for better analysis of peptide similarities and has been shown to effectively predict peptides that can inhibit the SARS-CoV-2 main protease, demonstrating its practical utility in therapeutic research.
Background: Protein-protein interactions (PPIs) are fundamental in many biological processes and understanding these interactions is key for a myriad of applications including drug development, peptide design and identification of drug targets. The biological data deluge demands efficient and scalable methods to characterize and understand protein-protein interfaces. In this paper, we present ppiGReMLIN, a graph based strategy to infer interaction patterns in a set of protein-protein complexes.
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