  Signal processing (SP) techniques convert DNA and protein sequences into
information that lead to successful drug discovery. One must, however, be aware
about the difference between information and entropy1. Eight other physical
properties of DNA and protein segments are suggested for SP analysis other than
ones already used in the literature. QSAR formulations of these properties are
suggested for ranking the amino acids that maximize efficiency of the amino
acids in proteins. Multiobjective programs are suggested for constraining or
searching the components of such sequences. Geometric maps of the networks of
proteins are preferable to scale-free descriptions in most cases. The genetic
code is presented as graphlets which show interesting correspondence to each
other, leading to possible new revelations.
