Molecular recognition feature

MoRFsMolecular Recognition Features (MoRFs)
Molecular recognition features (MoRFs) are small (10-70 residues) intrinsically disordered regions in proteins that undergo a disorder-to-order transition upon binding to their partners.wikipedia
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Intrinsically disordered proteins

activation loopFlexible linkerintrinsically unstructured proteins
Molecular recognition features (MoRFs) are small (10-70 residues) intrinsically disordered regions in proteins that undergo a disorder-to-order transition upon binding to their partners. Some aspects of protein structure, such as secondary structure and intrinsic disorder, have benefited greatly from applications of deep learning on an abundance of annotated data.
Many unstructured proteins undergo transitions to more ordered states upon binding to their targets (e.g. Molecular Recognition Features (MoRFs) ).

Protein–protein interaction

interactprotein-protein interactionsprotein-protein interaction
MoRFs are implicated in protein-protein interactions, which serve as the initial step in molecular recognition.
Interactions between intrinsically disordered protein regions to globular protein domains (i.e. MoRFs) are transient interactions.

Protein

proteinsproteinaceousstructural proteins
Molecular recognition features (MoRFs) are small (10-70 residues) intrinsically disordered regions in proteins that undergo a disorder-to-order transition upon binding to their partners.

Molecular recognition

recognitionbiomolecular recognitiondetect
MoRFs are implicated in protein-protein interactions, which serve as the initial step in molecular recognition.

Protein structure

structureconformationconformational
MoRFs are disordered prior binding to their partners, whereas they form a common 3D structure after interacting with their partners.

Protein secondary structure

secondary structuresecondarystructure
Some aspects of protein structure, such as secondary structure and intrinsic disorder, have benefited greatly from applications of deep learning on an abundance of annotated data.

Deep learning

deep neural networkdeep neural networksdeep-learning
Some aspects of protein structure, such as secondary structure and intrinsic disorder, have benefited greatly from applications of deep learning on an abundance of annotated data.

Short linear motif

motifinteraction motifsisland
Anchor and α-MoRF-Pred use physicochemical properties to search for motif-like peptides in disordered regions (termed MoRFs, among others).