Atomic Simulation of the Binding of JAK1 and JAK2 with the Selective Inhibitor Ruxolitinib.
Maxim S KondratyevVladimir R RudnevKirill S NikolskyAlexander A StepanovDenis V PetrovskyLiudmila I KulikovaArthur T KopylovKristina M MalsagovaAnna L KayshevaPublished in: International journal of molecular sciences (2022)
Rheumatoid arthritis belongs to the group of chronic systemic autoimmune diseases characterized by the development of destructive synovitis and extra-articular manifestations. Cytokines regulate a wide range of inflammatory processes involved in the pathogenesis of rheumatoid arthritis and contribute to the induction of autoimmunity and chronic inflammation. Janus-associated kinase (JAK) and signal transducer and activator of transcription (STAT) proteins mediate cell signaling from cytokine receptors, and are involved in the pathogenesis of autoimmune and inflammatory diseases. Targeted small-molecule drugs that inhibit the functional activity of JAK proteins are used in clinical practice for the treatment of rheumatoid arthritis. In our study, we modeled the interactions of the small-molecule drug ruxolitinib with JAK1 and JAK2 isoforms and determined the binding selectivity using molecular docking. Molecular modeling data show that ruxolitinib selectively binds the JAK1 and JAK2 isoforms with a binding affinity of -8.3 and -8.0 kcal/mol, respectively. The stabilization of ligands in the cavity of kinases occurs primarily through hydrophobic interactions. The amino acid residues of the protein globules of kinases that are responsible for the correct positioning of the drug ruxolitinib and its retention have been determined.
Keyphrases
- rheumatoid arthritis
- small molecule
- molecular docking
- amino acid
- oxidative stress
- clinical practice
- disease activity
- drug induced
- protein protein
- multiple sclerosis
- transcription factor
- ankylosing spondylitis
- dna binding
- emergency department
- cell proliferation
- machine learning
- stem cells
- molecular dynamics simulations
- bone marrow
- tyrosine kinase
- mass spectrometry
- deep learning
- drug delivery
- artificial intelligence
- nuclear factor
- systemic sclerosis
- inflammatory response
- data analysis
- celiac disease