IMPROvER

IMPROvER identifies stabilizing variants of integral membrane proteins to improve their stability for accurate structure determination.

Key Features:

• Integrated prediction approaches: Combines deep-sequence analysis, model-based predictions, and data-driven approaches for variant selection.
• In silico testing: Evaluates predictions using known stability data.
• In vitro validation: Experimental tests were performed on membrane protein targets with 7, 11, and 16 transmembrane helices.
• Ranking-based selection: Focuses on highest ranked sites across methods to prioritize variants.
• Synergistic improvement: Combining independent approaches yields a fourfold improvement in selection success over random choice.
• Low-overlap complementarity: Low overlap between method predictions provides complementary candidate coverage.
• General applicability: Applicable to selection of stabilizing variants across helical membrane proteins.

Scientific Applications:

• Structure determination: Selecting stabilizing variants to enable accurate structure determination of integral membrane proteins.
• Mutagenesis prioritization: Prioritizing mutagenesis targets to reduce experimental screening workload.
• Prediction benchmarking: Assessing prediction performance via in silico testing against known stability datasets.
• Helical membrane protein stabilization: Supporting stabilization efforts for proteins with 7, 11, and 16 transmembrane helices.

Methodology:

Integrates deep-sequence analysis, model-based predictions, and data-driven approaches; performs in silico testing against known stability data; ranks and combines independent method predictions to select highest ranked sites.