Affinity of Nintedanib Towards New Candidate Target for Idiopathic Pulmonary Fibrosis

Hari Baskar Balasubramanian, Sima Biswas, Maria Talmon, Filippo Patrucco, Piero Emilio Balbo, Luigia Grazia Fresu (Corresponding author), Angshuman Bagchi (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Idiopathic pulmonary fibrosis (IPF) is a progressive disease due to aggregation of fibroblasts on lung parenchyma. Nintedanib, an indolinone-derived tyrosine kinase inhibitor (TKi) has been approved for the treatment of IPF and it is a well-known inhibitor of platelet-derived growth factor (PDGF) receptor-α and -β, fibroblast growth factor (FGF) receptor-1–3 and vascular endothelial growth factor (VEGF) receptor-1–3. This study aims to evaluate the binding interaction between new therapeutic protein candidates for IPF such as autotaxin, galectin-3, interleukin-13, chitotriosidase-1, JNK, RhoE-ROCK-1, ROCK-2 against nintedanib. In this investigation we predicted, computed, and analyzed the binding interactions of the drug nintedanib using an in silico approach called molecular docking. Our docking studies demonstrated that RhoE-ROCK1 and autotaxin showed strong binding affinities towards nintedanib compared to known targets such as VEGFR2 and FGFR1. We can therefore hypothesize a further contribution of nintedanib to the improvement of pathology due to its affinity towards new targets in the pathogenesis of IPF. The next step will be to evaluate the effects of this affinity in vitro on specific cellular models.
Original languageEnglish
Pages (from-to)264-277
Number of pages14
JournalBorneo Journal of Pharmacy
Volume7
Issue number3
DOIs
Publication statusPublished - 30 Aug 2024
Externally publishedYes

Austrian Fields of Science 2012

  • 301209 Pharmacy

Keywords

  • ADMET-SAR properties
  • COACH server-binding site predictor
  • Idiopathic pulmonary fibrosis
  • Nintedanib

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