دورية أكاديمية

Computational Approaches Drive Developments in Immune-Oncology Therapies for PD-1/PD-L1 Immune Checkpoint Inhibitors

التفاصيل البيبلوغرافية
العنوان: Computational Approaches Drive Developments in Immune-Oncology Therapies for PD-1/PD-L1 Immune Checkpoint Inhibitors
المؤلفون: Patrícia S. Sobral, Vanessa C. C. Luz, João M. G. C. F. Almeida, Paula A. Videira, Florbela Pereira
المصدر: International Journal of Molecular Sciences; Volume 24; Issue 6; Pages: 5908
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: immune oncology therapies, immune checkpoint inhibitor (ICI), programmed cell death protein 1 (PD-1), programmed cell death ligand 1 (PD-L1), databases, web tools, computational methodologies, computer-aided drug design (CADD)
جغرافية الموضوع: agris
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: Molecular Oncology; https://dx.doi.org/10.3390/ijms24065908Test
DOI: 10.3390/ijms24065908
الإتاحة: https://doi.org/10.3390/ijms24065908Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.B7AB31FE
قاعدة البيانات: BASE