Venus

Venus assesses the effects of non-synonymous coding (amino acid) variants on protein function by integrating stability predictions, post-translational modification and linear motif analyses, annotation cross-references, and population variant context.

Key Features:

• Protein Stability Prediction: Predicts the impact of amino acid substitutions on protein stability to identify potential structural destabilization linked to loss or gain of function.
• Post-Translational Modification (PTM) Analysis: Identifies variants that affect known or predicted PTM sites that can alter protein activity and interactions.
• Linear Motif Identification: Flags variants that disrupt predicted linear motifs involved in protein-protein interactions and other functional roles.
• Annotation Integration: Cross-references known annotations related to the variant to provide context for functional impact.
• Population Variant Consideration: Evaluates effects of nearby variants observed in healthy populations to inform interpretation of variant pathogenicity.
• Integration with Michelanglo: Supports integration and export of results to the Michelanglo platform for further annotation and analysis.

Scientific Applications:

• Rare and monogenic disease genetics: Facilitates generation of mechanistic hypotheses about how amino acid substitutions contribute to rare or monogenic disease phenotypes.
• Variant pathogenicity interpretation: Aids in distinguishing pathogenic variants from benign polymorphisms by considering multiple layers of functional impact.

Methodology:

Combines computational predictions with integration of diverse biological data by cross-referencing known annotations and evaluating nearby population variants.