CALLC

CALLC implements generalized calibration to map and improve prediction of liquid chromatographic retention times for small molecules across diverse experimental setups.

Key Features:

• Generalized Calibration: Maps retention time prediction models across different experimental configurations (columns, gradients, solvents, stationary phases) without fitting separate models for each setup.
• Database-Controlled Calibration: Fits calibration curves to predicted retention times using a database-controlled calibration approach building on PredRet.
• Improved Accuracy and Efficiency: Achieves higher accuracy in predicting elution peaks compared to setup-specific models and reduces the need for repetitive model fitting.

Scientific Applications:

• Targeted and Untargeted Mass Spectrometry (MS): Reduces experimental measurements and aids small-molecule identification by providing transferable retention time predictions across varied chromatographic setups.

Methodology:

Integrates predicted retention times with database-derived calibration curves and fits calibration curves to predicted retention times to adapt predictions across experimental conditions.