OnD-CRF

OnD-CRF predicts transitions between ordered (structured) and disordered (mobile) regions in proteins using conditional random fields to model sequence dependencies.

Key Features:

• Amino Acid Sequence Analysis: Analyzes primary amino acid sequences to extract features for order-disorder prediction.
• Secondary Structure Prediction: Incorporates secondary structure predictions to generate additional features for modeling.
• Conditional Random Fields (CRFs): Employs CRFs to model dependencies within protein sequences and predict transitions between ordered and disordered regions.

Scientific Applications:

• Order-disorder prediction: Identifies transitions between structured and intrinsically disordered regions in proteins.
• Structure-function and mobility analysis: Maps ordered and disordered regions to inform studies of protein structure, dynamics, and mobility.
• Benchmarking and evaluation: Evaluated on CASP7 targets, ranking highest among fully automatic server groups against CASP criteria.

Methodology:

Generates features from amino acid sequences and secondary structure predictions and applies conditional random fields to model dependencies and predict ordered versus disordered regions.