Abstract::
The structural ensembles of intrinsically disordered proteins (IDPs) and proteins with
intrinsically disordered regions (IDRs) cannot be easily characterized using conventional experimental
techniques. Computational techniques complement experiments and provide useful insights
into the structural ensembles of IDPs and proteins with IDRs. Herein, we discuss computational
techniques such as homology modeling, molecular dynamics simulations, machine learning
with molecular dynamics, and quantum computing that can be applied to the studies of IDPs and
hybrid proteins with IDRs. We also provide useful future perspectives for computational techniques
that can be applied to IDPs and hybrid proteins containing ordered domains and IDRs.