Intrinsically disordered proteins and regions are involved in a wide range of 
cellular functions, and they often facilitate protein-protein interactions. 
Molecular recognition features (MoRFs) are segments of intrinsically disordered 
regions that bind to partner proteins, where binding is concomitant with a 
transition to a structured conformation. MoRFs facilitate translation, 
transport, signaling, and regulatory processes and are found across all domains 
of life. A popular computational tool, MoRFpred, accurately predicts MoRFs in 
protein sequences. MoRFpred is implemented as a user-friendly web server that is 
freely available at http://biomine.cs.vcu.edu/servers/MoRFpred/ . We describe 
this predictor, explain how to run the web server, and show how to interpret the 
results it generates. We also demonstrate the utility of this web server based 
on two case studies, focusing on the relevance of evolutionary conservation of 
MoRF regions.