Literature DB >> 36006501

Computational design of PD-L1 small molecule inhibitors for cancer therapy.

Jaikanth Chandrasekaran1, Senthilkumar Elumalai2, Vidya Murugesan3, Selvaraj Kunjiappan4, Parasuraman Pavadai5, Panneerselvam Theivendren6.   

Abstract

Drug repurposing opens new avenues in cancer therapy. Drug repurposing, or finding new uses for existing drugs, can substantially reduce drug discovery time and costs. Cheminformatics, genetics, and systems biology advances enable repositioning drugs. Clinical usage of PD-1/PD-L1 blocking has been approved because of its efficacy in improving prognosis in select groups. The PD-1/PD-L1 axis was considered to represent a mechanism for tumour evasion of host tumour antigen-specific T-cell immunity in early preclinical research. The expression of PD-L1 in cancer cells causes T lymphocytes to become exhausted by transmitting a co-inhibitory signal. A better understanding of how PD-L1 is regulated in cancer cells could lead to new therapeutic options. In this view, the study was aimed to repurpose the existing FDA-approved drugs as a potential PD-L1 inhibitor through e-Pharmacophore modelling, molecular docking and dynamic simulation. e-Pharmacophore screening retrieved 324 FDA-approved medications with the fitness score ≥ 1. The top 10-docked FDA candidates were compared with IN-35 (Clinical trial candidate) for its interaction pattern with critical amino acid residues. Mirabegron and Indacaterol exhibited a greater affinity for PD-L1 with docking scores of - 9.213 kcal mol-1 and - 8.023 kcal mol-1, respectively. Mirabegron retain interactions at all three major hotspots in the PD-L1 dimer interface similar to IN-35. MM-GBSA analyses indicated that Mirabegron uses less energy to create a more stable complex and retains all of the inhibitor's positive interactions found in clinical trial ligand IN-35. Molecular dynamics simulation analysis of the Mirabegron complex showed a similar pattern of deviation in correlation with IN-35, and it retains the interaction with the active key amino acids throughout the simulation time. Our present study has shown Mirabegron as a powerful inhibitor of PD-L1 expression in cancer cells using a drug-repurposing screen.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Cancer; Docking; Dynamic simulation; PD-1/PD-L1; Repurposing; e-Pharmacophore

Year:  2022        PMID: 36006501     DOI: 10.1007/s11030-022-10516-3

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   3.364


  33 in total

1.  Tumor immunotherapy directed at PD-1.

Authors:  Antoni Ribas
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

Review 2.  The blockade of immune checkpoints in cancer immunotherapy.

Authors:  Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2012-03-22       Impact factor: 60.716

Review 3.  Mechanisms Controlling PD-L1 Expression in Cancer.

Authors:  Jong-Ho Cha; Li-Chuan Chan; Chia-Wei Li; Jennifer L Hsu; Mien-Chie Hung
Journal:  Mol Cell       Date:  2019-10-24       Impact factor: 17.970

4.  Rescue of exhausted CD8 T cells by PD-1-targeted therapies is CD28-dependent.

Authors:  Alice O Kamphorst; Andreas Wieland; Tahseen Nasti; Shu Yang; Ruan Zhang; Daniel L Barber; Bogumila T Konieczny; Candace Z Daugherty; Lydia Koenig; Ke Yu; Gabriel L Sica; Arlene H Sharpe; Gordon J Freeman; Bruce R Blazar; Laurence A Turka; Taofeek K Owonikoko; Rathi N Pillai; Suresh S Ramalingam; Koichi Araki; Rafi Ahmed
Journal:  Science       Date:  2017-03-09       Impact factor: 47.728

5.  T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition.

Authors:  Enfu Hui; Jeanne Cheung; Jing Zhu; Xiaolei Su; Marcus J Taylor; Heidi A Wallweber; Dibyendu K Sasmal; Jun Huang; Jeong M Kim; Ira Mellman; Ronald D Vale
Journal:  Science       Date:  2017-03-09       Impact factor: 47.728

Review 6.  Regulation and Function of the PD-L1 Checkpoint.

Authors:  Chong Sun; Riccardo Mezzadra; Ton N Schumacher
Journal:  Immunity       Date:  2018-03-20       Impact factor: 31.745

Review 7.  The PD-1 pathway in tolerance and autoimmunity.

Authors:  Loise M Francisco; Peter T Sage; Arlene H Sharpe
Journal:  Immunol Rev       Date:  2010-07       Impact factor: 12.988

Review 8.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

Review 9.  Immune checkpoint inhibitors of PD-L1 as cancer therapeutics.

Authors:  Akintunde Akinleye; Zoaib Rasool
Journal:  J Hematol Oncol       Date:  2019-09-05       Impact factor: 17.388

10.  Interactions between PD-1 and PD-L1 promote tolerance by blocking the TCR-induced stop signal.

Authors:  Brian T Fife; Kristen E Pauken; Todd N Eagar; Takashi Obu; Jenny Wu; Qizhi Tang; Miyuki Azuma; Matthew F Krummel; Jeffrey A Bluestone
Journal:  Nat Immunol       Date:  2009-09-27       Impact factor: 25.606

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