CIDER

CIDER classifies intrinsically disordered ensemble regions from protein amino acid sequences and quantifies sequence-encoded physicochemical properties of intrinsically disordered proteins (IDPs).

Key Features:

• Sequence-based classification: Classifies intrinsically disordered ensemble regions using protein amino acid sequences.
• Physicochemical property computation: Computes sequence-encoded physicochemical properties that characterize IDP conformational ensembles.
• localCIDER support: Includes a complementary high-performance localCIDER package for a broader range of IDP sequence analyses.
• IDP-centered analysis: Focuses analyses specifically on intrinsically disordered proteins and regions (IDPs) to derive biophysical insights from sequences.

Scientific Applications:

• Conformational ensemble characterization: Characterizes sequence determinants of conformational heterogeneity in IDPs.
• Disease-related IDP analysis: Supports investigation of IDP dysregulation implicated in neurodegeneration and cancer.
• Biophysical parameter extraction: Enables extraction of biophysical parameters from sequence data to inform studies of protein disorder.
• Comparative sequence analyses: Facilitates broader comparative analyses of IDP sequences using localCIDER.

Methodology:

Analyses compute sequence-derived physicochemical properties from amino acid sequences and use those properties to classify intrinsically disordered ensemble regions; a related localCIDER package supports broader sequence analyses.