MusteR - Sistema de Mineração de Contatos em Complexos Proteína-Ligantes

  • Welington Gonçalves Silva UNIFEI
  • Cláudio Guimarães Matos Júnior UNIFEI
  • Wandré Nunes de Pinho Veloso UNIFEI
  • João Paulo Roquim Romanelli UNIFEI
  • Carlos Henrique da Silveira UNIFEI

Abstract


The COVID-19 pandemic has shown how high the demand is for computational tools that aid in the process of discovering new drugs. In this context, analyzing how ligands interact with a biomolecular target has proven valuable in identifying compounds with greater pharmacological potential. To this end, we propose MusteR, a web tool for mining contact pattern motifs between protein-ligand complexes, based on atomic packing density. Its use will be demonstrated in characterizing the complex between the drug Boceprevir and the Mpro protease, an important therapeutic target in the search for antivirals against SARS-CoV-2.

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Published
2023-06-27
SILVA, Welington Gonçalves; MATOS JÚNIOR, Cláudio Guimarães; VELOSO, Wandré Nunes de Pinho; ROMANELLI, João Paulo Roquim; SILVEIRA, Carlos Henrique da. MusteR - Sistema de Mineração de Contatos em Complexos Proteína-Ligantes. In: TOOLS AND APPLICATIONS - BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTHCARE (SBCAS), 23. , 2023, São Paulo/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 174-179. ISSN 2763-8987. DOI: https://doi.org/10.5753/sbcas_estendido.2023.231154.