SolubiS

SolubiS identifies stabilizing mutations that reduce protein aggregation by combining TANGO aggregation-propensity prediction with FoldX thermodynamic stability assessment.


Key Features:

  • Automated Pipeline: Provides an automated pipeline to systematically analyze protein sequences and propose stabilizing mutations by integrating TANGO and FoldX outputs.
  • TANGO Algorithm: Assesses intrinsic aggregation propensity and identifies aggregation-prone regions (APRs) within protein sequences.
  • FoldX Empirical Force-Field: Evaluates the thermodynamic impact of proposed mutations on the native protein structure to monitor stability changes.
  • Prioritization Plot: Generates a plot of intrinsic aggregation propensity scores of APRs corrected by local stability in the folded structure to prioritize mutation targets.

Scientific Applications:

  • Protein production and formulation: Reduce aggregation to increase expression and solubility of recombinant proteins, including enzymes and monoclonal antibodies.
  • Therapeutic protein engineering: Select mutations that lower aggregation propensity while preserving structural integrity and functional capacity of therapeutic proteins.

Methodology:

Identification of APRs with TANGO; evaluation of mutation effects on thermodynamic stability with FoldX; combination of TANGO and FoldX results to generate a prioritization plot for mutation selection.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/3/2017
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Publications

Van Durme J, De Baets G, Van Der Kant R, Ramakers M, Ganesan A, Wilkinson H, Gallardo R, Rousseau F, Schymkowitz J. Solubis: a webserver to reduce protein aggregation through mutation. Protein Engineering Design and Selection. 2016;29(8):285-289. doi:10.1093/protein/gzw019. PMID:27284085.

PMID: 27284085
Funding: - Flanders Institute for Biotechnology: VIB PRJ6 - University of Leuven: OT/12/092 - Funds for Scientific Research Flanders: G.0509.13 - Federal Office for Scientific Affairs of Belgium: IUAP P7/16 - European Research Council under the European Union's Horizon 2020 Framework Programme: 647458 (MANGO)

Documentation

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