We study conjunctive partial deduction, an advanced specialization technique aimed at improving the performance of logic programs, in the context of relational programming language MINIKANREN. We identify a number of issues, caused by MINIKANREN peculiarities, and describe a novel approach to specialization based on partial deduction and supercompilation. The results of the evaluation demonstrate successful specialization of relational interpreters. Although the project is at an early stage, we consider it as the first step towards an efficient optimization framework for MINIKANREN.1. Term unification t 1 ≡ t 2 computes the most-general unification in the context of the current substitution. If it succeeds, the unifier is added into the current substitution and then it is returned as a singleton stream. Otherwise, an empty stream is returned.