AGGRESSOR

Rule-based in silico mutagenesis targeting aggregation-prone regions (APRs).

AGGRESSOR identifies APRs with four physicochemical rules, merges overlapping clusters into multi-rule hotspots, and proposes substitutions classified by structural context — with automatic, geometry-aware gatekeeper placement.

• Deterministic: identical input yields byte-identical output.
• No runtime dependencies: pure standard library, Python >= 3.10.
• Library + CLI: aggressor ..., python -m aggressor ..., or import aggressor.

See Usage to get started and Biology & methods for the scientific rationale.