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Molecular Biology has lately become heir to a huge legacy of standardized data in the form of polynucleotide and polypeptide sequences. The current volume is an effort to bridge just that range of exploration, from ucleotide to abstract concept, in contemporary AI/MB research. That bridge must also join computer scientists with laboratory biochemists—my afterword outlines some of the hazards of taking biologists’s last word as the settled truth, and therefore the imperative of mutual understanding about how imputed knowledge will be used. More and more of the functions of life (e.g. cell division, immune reaction, neural transmission) are coming to be understood as the interactions of complicated, self-regulating networks of chemical reactions. The substances that carry out and regulate these activities are generally referred to as biomolecules. Biomolecules include proteins, carbohydrates, lipids—all called macromolecules because they are relatively large—and a variety of small molecules.