Use of Molecular Recognition To Drive Chemical Evolution: Mechanisms of an Automated Genetic Algorithm Implementation
作者:Alexey V. Eliseev、Marina I. Nelen
DOI:10.1002/(sici)1521-3765(19980515)4:5<825::aid-chem825>3.0.co;2-7
日期:——
A detailed description is provided for a new general approach that allows production of amplified amounts of effective noncovalent binders from pools of compounds that can exist in a dynamic equilibrium. This approach involves a) selective binding of the effective pool components by the immobilized target compound; b) equilibration of the pool remaining after selection, and thereby regeneration of the effective components; c) repetition of the selection-equilibration cycles. It represents a new automated, implementation of a genetic algorithm/mechanism in a chemical system. Application of the approach to the generation of arginine binders involved the synthesis and screening of eight compounds, each of which was capable of forming a pool of three isomers (trans,trans, trans,cis, and cis,cis) that could be interconverted by photoisomerization. These compounds were screened for their affinity for, or selectivity of binding to, guanidinium derivatives. The most promising compound was then used in our method to generate an amplified amount of the cis,cis isomer, the strongest binder from the equilibrating pool. The receptors were selected using an arginine derivative immobilized on the modified silica gel support, which had been found to possess binding affinity and selectivity similar to those of guanidinium salts in solution. Mathematical models of the approach were developed that allowed us to evaluate the importance of various experimental parameters and to assess the applicability of the method to larger combinatorial pools.