Drug Investigation to Dampen the Comorbidity of Rheumatoid Arthritis and Osteoporosis via Molecular Docking Test.
Ki Kwang OhMd AdnanDong-Ha ChoPublished in: Current issues in molecular biology (2022)
At present, most rheumatoid arthritis (RA) patients are at risk of osteoporosis (OP), which is increased by 1.5 times compared to non-RA individuals. Hence, we investigated overlapping targets related directly to the occurrence and development of RA and OP through public databases (DisGeNET, and OMIM) and literature. A total of 678 overlapping targets were considered as comorbid factors, and 604 out of 678 were correlated with one another. Interleukin 6 (IL-6), with the highest degree of value in terms of protein-protein interaction (PPI), was considered to be a core target against comorbidity. We identified 31 existing small molecules (< 1000 g/mol) as IL-6 inhibitors, and 19 ligands were selected by the 3 primary criteria (Lipinski's rule, TPSA, and binding energy). We postulated that MD2-TLR4-IN-1 (PubChem ID: 138454798), as confirmed by the three criteria, was the key ligand to alleviate comorbidity between RA and OP. In conclusion, we described a promising active ligand (MD2-TLR4-IN-1), and a potential target (IL-6) against comorbidity of RA and OP, providing scientific evidence for a further clinical trial.
Keyphrases
- rheumatoid arthritis
- disease activity
- protein protein
- molecular docking
- ankylosing spondylitis
- clinical trial
- interstitial lung disease
- end stage renal disease
- toll like receptor
- postmenopausal women
- small molecule
- inflammatory response
- systemic lupus erythematosus
- immune response
- ejection fraction
- molecular dynamics
- risk assessment
- bone mineral density
- healthcare
- systematic review
- peritoneal dialysis
- chronic kidney disease
- mental health
- molecular dynamics simulations
- randomized controlled trial
- prognostic factors
- emergency department
- open label
- systemic sclerosis
- climate change
- mass spectrometry
- patient reported outcomes
- human health
- big data
- adverse drug
- deep learning
- idiopathic pulmonary fibrosis
- binding protein
- artificial intelligence
- dna binding