BioLCCC
BioLCCC predicts peptide retention times in liquid chromatography using the Liquid Chromatography at Critical Conditions (LCCC) framework to provide sequence-dependent retention profiles for protein sequencing and proteomics.
Key Features:
- Sequence-Dependent Retention Time Prediction: Considers the specific arrangement of amino acids in a peptide primary structure to distinguish peptides with identical compositions but different sequences.
- Theoretical Foundation: Implements a theoretical framework based on a random walk model for macromolecule chains, entropy and energy compensation within adsorbent pores, and phenomenological parameters defining effective interaction energies between amino acid residues and the adsorbent surface.
- LCCC Applied to Biopolymers: Applies the Liquid Chromatography at Critical Conditions (LCCC) concept to biopolymers to enable sequence-dependent retention predictions.
- Phenomenological Parameters Calibrated for C18 HPLC: Uses phenomenological parameters calibrated specifically for C18 reversed-phase high-performance liquid chromatography (HPLC).
- Comprehensive Sequence Analysis: Predicts retention times for any amino acid sequence in specified HPLC experiments, not limited by chain length or composition-only models.
Scientific Applications:
- High-throughput Peptide Characterization: Supports high-throughput peptide characterization and protein sequencing by providing sequence-sensitive retention time predictions.
- Proteomics Analyses: Enables differentiation of isomeric or composition-identical peptides based on sequence-dependent retention behavior for proteomics research.
- Experimental Validation: Validated with LTQ FT LC-MS and LC-MS/MS data from Escherichia coli, yielding R² = 0.97 for peptide standards and R² = 0.90 for E. coli data with minimal standard error.
Methodology:
Uses a random walk model for macromolecule chains, computes entropy and energy compensation within adsorbent pores, and employs phenomenological parameters representing residue–adsorbent interaction energies calibrated for C18 reversed-phase HPLC.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Gorshkov AV, Tarasova IA, Evreinov VV, Savitski MM, Nielsen ML, Zubarev RA, Gorshkov MV. Liquid Chromatography at Critical Conditions: Comprehensive Approach to Sequence-Dependent Retention Time Prediction. Analytical Chemistry. 2006;78(22):7770-7777. doi:10.1021/ac060913x. PMID:17105170.