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.

Documentation

Downloads

Links

Software catalogue
http://ms-utils.org