Publication Type : Research Article
Publisher : Wiley
Source : Molecular Informatics
Url : https://doi.org/10.1002/minf.202200254
Campus : Kochi
School : School of Nanosciences
Year : 2023
Abstract : PD‐1/PD‐L1 is a critical druggable target for immunotherapy against sepsis. Chemoinformatics techniques involved the structure‐based 3D pharmacophore model development followed by virtual screening of small molecule databases to identify the small molecules against PD‐L1 pathway inhibition. Raltitrexed and Safinamide act as potent repurposed drugs, and three other Specs database compounds using
 in silico
 methods. These compounds were screened based on the pharmacophore fit score and binding affinity towards the active site of the PD‐L1 protein.
 In silico
 pharmacokinetic profiling of these screened compounds was done to test their biological activity. Next, experimental validation of the best four virtually screened hits was done
 in vitro
 for its hemocompatibility and cytotoxicity. Among these, Raltitrexed, Safinamide and Specs compound (AK‐968/40642641) effectively increased the proliferation of immune cells and IFN‐γ production. These compounds can act as potent PDL‐1 inhibitors for adjuvant therapy against sepsis.

Cite this Research Publication : Anju Choorakottayil Pushkaran, Kumaran K, Ann Maria T, Raja Biswas, C. Gopi Mohan, Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**, Molecular Informatics, Wiley, 2023, https://doi.org/10.1002/minf.202200254