A carregar...
Publicação
Computational Approaches Drive Developments in Immune-Oncology Therapies for PD-1/PD-L1 Immune Checkpoint Inhibitors
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 6.11 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Computational approaches in immune-oncology therapies focus on using data-driven methods to identify potential immune targets and develop novel drug candidates. In particular, the search for PD-1/PD-L1 immune checkpoint inhibitors (ICIs) has enlivened the field, leveraging the use of cheminformatics and bioinformatics tools to analyze large datasets of molecules, gene expression and protein–protein interactions. Up to now, there is still an unmet clinical need for improved ICIs and reliable predictive biomarkers. In this review, we highlight the computational methodologies applied to discovering and developing PD-1/PD-L1 ICIs for improved cancer immunotherapies with a greater focus in the last five years. The use of computer-aided drug design structure- and ligand-based virtual screening processes, molecular docking, homology modeling and molecular dynamics simulations methodologies essential for successful drug discovery campaigns focusing on antibodies, peptides or small-molecule ICIs are addressed. A list of recent databases and web tools used in the context of cancer and immunotherapy has been compilated and made available, namely regarding a general scope, cancer and immunology. In summary, computational approaches have become valuable tools for discovering and developing ICIs. Despite significant progress, there is still a need for improved ICIs and biomarkers, and recent databases and web tools have been compiled to aid in this pursuit.
Descrição
Funding Information:
This research was funded by Fundação para a Ciência e Tecnologia (FCT) Portugal, by the European Union under Horizon Europe Grant 101079417 (GLYCOTwinning), and SI I&DT, DCMatters (AVISO Nº 17/SI/2019) REF 47212. F.P. gratefully acknowledges FCT for an Assistant Research Position (CEECIND/01649/2021).
Publisher Copyright:
© 2023 by the authors.
Palavras-chave
computational methodologies computer-aided drug design (CADD) databases immune checkpoint inhibitor (ICI) immune oncology therapies programmed cell death ligand 1 (PD-L1) programmed cell death protein 1 (PD-1) web tools Catalysis Molecular Biology Spectroscopy Computer Science Applications Physical and Theoretical Chemistry Organic Chemistry Inorganic Chemistry SDG 3 - Good Health and Well-being