Adaptive inhibitors of the HIV-1 protease.

A significant obstacle to the efficacy of drugs directed against viral targets is the presence of amino acid polymorphisms in the targeted molecules. Amino acid polymorphisms may occur naturally due to the existence of variations within and between viral strains or as the result of mutations associated with drug resistance. An ideal drug will be one that is extremely effective against a primary target and maintains its effectiveness against the most important variations of the target molecule. A drug that simultaneously inhibits different variants of the target will lead to a faster suppression of the virus, retard the appearance of drug-resistant mutants and provide more efficacious and, in the long range, more affordable therapies. Drug molecules with the ability to inhibit several variants of a target with high affinity have been termed adaptive drugs (Nat. Biotechnol. 20 (2002) 15; Biochemistry 42 (2003) 8459; J. Cell. Biochem. S37 (2001) 82). Current drug design paradigms are predicated upon the lock-and-key hypothesis, which emphasizes shape complementarity as a way to attain specificity and improved binding affinity. Shape complementarity is accomplished by the introduction of conformational constraints in the drug molecule. While highly constrained molecules do well against a unique target, they lack the ability to adapt to target variations like those originating from naturally occurring polymorphisms or drug-resistant mutations. Targeting an array of closely related targets rather than a single one while still maintaining selectivity, requires a different approach. A plausible strategy for designing high affinity adaptive inhibitors is to engineer their most critical interactions (for affinity and specificity) with conserved regions of the target while allowing for adaptability through the introduction of flexible asymmetric functionalities in places facing variable regions of the target. The fundamental thermodynamics and structural principles associated with this approach are discussed in this chapter.