Dinler Amaral Antunes


Dinler Antunes is a Postdoctoral Research Associate at the Computer Science Department of Rice University (Houston, TX), interested in structural bioinformatics and immunology. He is working with structural prediction of peptide-MHC (pMHC) complexes, with applications on cellular immune response and cancer immunotherapy. He is developing new docking-based methods to predict binding modes of large peptides to MHC-I receptors, aiming to explore MHC allotypes with special biomedical interest.

He attained his BS degree in Biomedicine in 2008, at the Federal University of Rio Grande do Sul (UFRGS, Brazil), and received a MS in Genetics and Molecular Biology from the same University in 2011. During his PhD, concluded in 2014, he applied bioinformatics tools to identify molecular features responsible for complex immunological phenomena, such as heterologous immunity. His work has shown in silico predictions of T cell cross-reactivity among viral epitopes, which were later confirmed by in vitro experiments. He is now working in collaboration with a team from M.D. Anderson, developing structure-based methods that can be used to improve peptide-target selection in personalized cancer immunotherapy. He is also a monthly contributor of the Brazilian Society of Immunology Blog (SBlogI).

Contact: “dinler”at rice.edu

Publications and social media

Participation in the development of tools and databases

  • DINC: an incremental meta-docking approach for docking large ligands.
  • DockTope: an automated docking-based method for structural prediction of pMHC complexes.
  • CrossTope: a curate repository of pMHC structures, focused on immunogenicity and cross-reactivity.