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.