fDETECT

fDETECT predicts the propensity of protein sequences for successful production, purification, crystallization, and X-ray crystallography-based structure determination to support target selection in structural biology.

Key Features:

• Comprehensive Predictive Scope: Predicts outcomes across production, purification, crystallization, and structure determination stages from protein sequences.
• High Computational Efficiency: Generates a prediction for a single protein sequence in approximately 120 milliseconds, about three orders of magnitude faster than the most accurate existing predictors while maintaining comparable accuracy.
• Scalability for Large Datasets: Capable of processing large datasets at scale, for example the entire human proteome within an hour.
• Empirical Validation: Validated on two distinct datasets, outperforming other fast methods and achieving accuracy similar to top-performing predictors.

Scientific Applications:

• Structural biology target selection: Guides selection of protein targets for expression, purification, and X-ray crystallography-based structure determination.
• Proteome-scale prioritization: Enables large-scale screening and prioritization of candidates for experimental pipelines, including proteome-wide analyses.

Methodology:

Incorporates empirical data in addition to protein-sequence-derived information and emphasizes computational efficiency to generate rapid propensity predictions.