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The latest developments of our ChemAxon-powered similarity-driven virtual screening servers included implementation of both classical and ‘exotic’ similarity search metrics, notably the famous Tversky score everybody cites, but no one uses in practical drug discovery. Why? Are they really useful? Would our implementation help to promote their use?