Solubis 2

Solubis 2 optimizes protein solubility by identifying aggregation-prone linear segments and proposing minimal point mutations that reduce aggregation while preserving thermodynamic stability.


Key Features:

  • Detection of aggregation-prone segments: Solubis 2 identifies linear segments within protein sequences that are prone to aggregation.
  • Identification of mutations: It proposes minimal point mutations that eliminate aggregation propensity of identified segments while preserving thermodynamic stability.
  • Applicability to globular proteins and antibodies: Applicable to a wide range of globular proteins, including antibodies, when structural information is available for precise targeting.

Scientific Applications:

  • Increased in vitro protein solubility: By reducing aggregation-prone segments, Solubis 2 increases protein solubility in vitro to facilitate purification and characterization.
  • Improved recombinant protein production yields: Maintaining stability while enhancing solubility leads to improved yields during recombinant protein production.

Methodology:

Computational prediction of aggregation-prone regions from protein sequences, proposal of minimal point mutations to mitigate aggregation without altering overall thermodynamic stability, and use of available structural data to guide mutation targeting.

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Details

Added:
9/3/2020
Last Updated:
9/8/2020

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Publications

van der Kant R, van Durme J, Rousseau F, Schymkowitz J. SolubiS: Optimizing Protein Solubility by Minimal Point Mutations. Methods in Molecular Biology. 2018. doi:10.1007/978-1-4939-8820-4_21. PMID:30341620.