Conjugate schema are computational tools that allow for the identification of independent blocks of vector components. These allow researchers to focus their efforts on optimizations within blocks of vector components that are codependant, rather than using the entire vector. Protein design and protein folding, already having been tackled using genetic algorithms, are natural candidates as computational problems whose solution is aided by the use of conjugate schema. We present work on protein folding and protein design in the HP heteropolymer model indicating that such usage is warrented and beneficial.