Rheumatoid arthritis
(RA) is a chronic immune-related condition,
primarily of joints, and is highly disabling and painful. The inhibition
of Janus kinase (JAK)-related cytokine signaling pathways using small
molecules is prevalent nowadays. The JAK family belongs to nonreceptor
cytoplasmic protein tyrosine kinases (PTKs), including JAK1, JAK2,
JAK3, and TYK2 (tyrosine kinase 2). JAK1 has received significant
attention after being identified as a promising target for developing
anti-RA therapeutics. Currently, no crystal structure is available
for JAK1 in complex with the next-generation anti-RA drugs. In the
current study, we investigated the mechanism of binding of baricitinib,
filgotinib, itacitinib, and upadacitinib to JAK1 using a combined
method of molecular docking, molecular dynamics simulation, and binding
free energy calculation via the molecular mechanics
Poisson–Boltzmann surface area (MM-PBSA) scheme. We found that
the calculated binding affinity decreases in the order upadacitinib
> itacitinib > filgotinib > baricitinib. Due to the increased
favorable
intermolecular electrostatic contribution, upadacitinib is more selective
to JAK1 compared to the other three inhibitors. The cross-correlation
and principal component analyses showed that different inhibitor bindings
significantly affect the binding site dynamics of JAK1. Furthermore,
our studies indicated that the hydrophobic residues and hydrogen bonds
from the hinge region (Glu957 and Leu959) of
JAK1 played an essential role in stabilizing the inhibitors. Protein
structural network analysis reveals that the total number of links
and hubs in JAK1/baricitinib (354, 48) is more significant than those
in apo (328, 40) and the other three complexes. The JAK1/baricitinib
complex shows the highest probability of the highest-ranked community,
indicating a compact network of the JAK1/baricitinib complex, consistent
with its higher stability than the rest of the four systems. Overall,
our study may be crucial for the rational design of JAK1-selective
inhibitors with better affinity.