Drug target screening for Rheumatoid Arthritis by Curcuma caesia through computational approach

Curcuma caesia has been a subject of inflammatory and autoimmune disease research, showing promising anti-inflammatory properties. The present research aims to investigate the anti-rheumatic potential of the rhizome through network pharmacology, molecular docking and molecular dynamic simulations approaches. Phytocompounds were retrieved from PubChem, and their targets were predicted using Swiss target prediction, SEA, SuperPred, and BindingDB. The 13 phytocompounds overlapping with its 41 predicted proteins and its related pathways generated a Cytoscape interaction network revealing that C. caesia may inhibit rheumatoid arthritis through different metabolic pathways. NFKB1, PRKCA, RAC1, STAT3, and TLR4 were identified as potential core targets while 13 compounds α-Terpineol, Ar-tumerone, 3,3,8,8-tetramethyl-tricyclo[5.1.0.0(2,4)] oct-5-ene-5-propanoic acid (TPA), Rosifoliol, 2-Nonanone, Terpinen-4-ol, Dihydrocarveol, 5-Nonanone, Camphene, Linalool, Bornyl acetate, Camphor were identified as potential core compounds. Molecular docking and Induced Fit Docking (IFD) analysis revealed that NFKB1, PRKCA, and RAC1, along with the newly discovered TPA compound, are the most significant targets and bioactive compounds, respectively. Furthermore, in interactions such as TPA-RAC1, TPA might be a potential "chelating ligand" and may play a role in lowering concentrations of metal in blood. In addition, the molecular dynamics simulation (MDS) studies for 200 ns elucidated the binding mechanism of TPA with NFKB1, PRKCA and RAC1. In conclusion, TPA has a promising inhibiting potential against Rheumatoid Arthritis and thus necessitates further validation through in vitro and in vivo experiments.Therefore, the present study revealed the main mechanisms behind the anti-rheumatic effects of C. caesia , paving the path for further research on these compounds. • Rheumatoid arthritis involves pannus formation, excessive growth of synovial tissue. • Curcuma caesia may inhibit RA through different metabolic pathways, targeting 6 proteins. • Docking analysis identified NFKB1, PRKCA, RAC1, and TPA as key targets and compounds. • TPA-RAC1 interaction shows TPA as a "chelating ligand" that could reduce blood metal levels. • MDS for 200 ns elucidated TPA binding stable with RAC1 and PRKCA, fluctuating with NFkB1.

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Publication Details

Journal
Current Plant Biology
Published
2025-03-12
DOI
https://doi.org/10.1016/j.cpb.2025.100468
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
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article

Drug target screening for Rheumatoid Arthritis by Curcuma caesia through computational approach

Arun Kumar Sahu, Ankita Pati, JyotiRanjan Parida, Bharat Bhusan Subudhi et al.
3 citations
Current Plant Biology
Computational Drug Discovery Methods
4.51
article

Drug target screening for Rheumatoid Arthritis by Curcuma caesia through computational approach

Arun Kumar Sahu, Ankita Pati, JyotiRanjan Parida, Bharat Bhusan Subudhi, Mahendra Gaur, Ananya Kuanar, Dattatreya Kar
article en
3 citations

Abstract

Curcuma caesia has been a subject of inflammatory and autoimmune disease research, showing promising anti-inflammatory properties. The present research aims to investigate the anti-rheumatic potential of the rhizome through network pharmacology, molecular docking and molecular dynamic simulations approaches. Phytocompounds were retrieved from PubChem, and their targets were predicted using Swiss target prediction, SEA, SuperPred, and BindingDB. The 13 phytocompounds overlapping with its 41 predicted proteins and its related pathways generated a Cytoscape interaction network revealing that C. caesia may inhibit rheumatoid arthritis through different metabolic pathways. NFKB1, PRKCA, RAC1, STAT3, and TLR4 were identified as potential core targets while 13 compounds α-Terpineol, Ar-tumerone, 3,3,8,8-tetramethyl-tricyclo[5.1.0.0(2,4)] oct-5-ene-5-propanoic acid (TPA), Rosifoliol, 2-Nonanone, Terpinen-4-ol, Dihydrocarveol, 5-Nonanone, Camphene, Linalool, Bornyl acetate, Camphor were identified as potential core compounds. Molecular docking and Induced Fit Docking (IFD) analysis revealed that NFKB1, PRKCA, and RAC1, along with the newly discovered TPA compound, are the most significant targets and bioactive compounds, respectively. Furthermore, in interactions such as TPA-RAC1, TPA might be a potential "chelating ligand" and may play a role in lowering concentrations of metal in blood. In addition, the molecular dynamics simulation (MDS) studies for 200 ns elucidated the binding mechanism of TPA with NFKB1, PRKCA and RAC1. In conclusion, TPA has a promising inhibiting potential against Rheumatoid Arthritis and thus necessitates further validation through in vitro and in vivo experiments.Therefore, the present study revealed the main mechanisms behind the anti-rheumatic effects of C. caesia , paving the path for further research on these compounds. • Rheumatoid arthritis involves pannus formation, excessive growth of synovial tissue. • Curcuma caesia may inhibit RA through different metabolic pathways, targeting 6 proteins. • Docking analysis identified NFKB1, PRKCA, RAC1, and TPA as key targets and compounds. • TPA-RAC1 interaction shows TPA as a "chelating ligand" that could reduce blood metal levels. • MDS for 200 ns elucidated TPA binding stable with RAC1 and PRKCA, fluctuating with NFkB1.

Current Plant BiologyVol. 42
Siksha O Anusandhan University (IN), Institute of Medical Sciences and Sum Hospital (IN), Center for Rheumatology (US), Punjabi University (IN)
Good health and well-being
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
4.51
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