Advancements in Computer-Aided Drug Design: Targeting the PD-1/PD-L1 Immune Checkpoint with Small Molecule Inhibitors

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Authors: Aditya Gawde, Anand Kumar Gupta, Ms. Lavanya Gone, Ms. Mitali Gavali, Ms. Sanjyot Varvatkar, Ms. Nandini Banerjee
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Abstract

Cancer continues to be a major global health burden, with conventional therapies often limited by relapse, resistance, and toxicity. Immunotherapy, particularly PD-1/PD-L1 checkpoint blockade, has transformed treatment by reactivating antitumor T-cell responses. While monoclonal antibodies against PD-1/PD-L1 have shown remarkable success, their high cost, intravenous delivery, immune-related side effects, and resistance highlight the need for alternatives. Small molecule inhibitors (SMIs) offer advantages such as oral bioavailability, improved tumor penetration, reduced immunogenicity, and lower production costs. However, the broad PD-1/PD-L1 interface poses design challenges. Recent advances in computer-aided drug design (CADD)—including docking, pharmacophore modeling, QSAR, virtual screening, and in silico ADME/T prediction—are driving progress in developing effective SMIs. This review outlines the biology of the PD-1/PD-L1 axis, the evolution of checkpoint therapy, and current efforts to harness CADD for novel small molecule inhibitors.

Fields of Study & Subjects

Computational Drug Discovery Methods Cancer Immunotherapy and Biomarkers vaccines and immunoinformatics approaches

Publication details

Journal / source
International journal of research and scientific innovation
Volume
13
Issue
2
Pages
1065–1073
Publication date
1 January 2026
Language
EN