"...a defining tenet for catalyst generation has been the mimicry and incorporation of a reaction's stereoelectronics into hapten design. Success necessarily depends upon accurate assumptions of mechanistic details, the extent to which the hapten is a model of the transition state, and how the immune system responds to the antigen."
Each of these issues can be addressed with modern computational chemistry. First, mechanistic details for the reactions whose catalysis is desired can be obtained by quantum mechanical methods. The structures of transition states are computed, allowing for a direct assessment of the similarities and differences between them and the haptens designed to mimic them. In addition, bioinformatics and computational docking studies can be used to garner insight into the processes by which the immune system produces effective catalysts. Information from such studies can then be used to improve catalysis by suggesting alterations to haptens and known antibodies. To test this strategy for elucidating the origins of antibody catalysis, the hydrolyses of phenyl and para-nitrophenyl acetate were examined in the gas phase, in solution, and in the combining sites of various antibody catalysts. Intermediates and transition states involved in gas phase hydrolysis were investigated using Hartree-Fock calculations. The structures of these species were then compared with those of phosphonate transition state analogs used as haptens to elicit hydrolytic antibodies. Although many similarities were observed, several important differences were noted. In particular, the asymmetry of the transition state for hydroxide addition (the rate-determining step) is not faithfully reproduced in existing haptens, a situation that can potentially be remedied through hapten redesign.
Computed transition states were then docked into the crystallographically-determined structures of various hydrolytic antibodies using a Monte Carlo simulated annealing technique. These studies showed that, although haptens and transition states do bind to hydrolytic antibodies in similar orientations, optimal stabilization of each involves differently arrayed hydrogen bond donor and acceptor groups (see figure below). Computational mutants were designed based on these observations, and ultimately we hope to test these predictions experimentally.
In addition, comparison of known antibody structures and sequences using bioinformatic strategies has provided insights into the nature of the immune response that leads to catalysts. For example, such experiments suggested the presence of generic binding sites present in the naive repertoire of antibodies that may be capable of binding phosphonate haptens, hydrolytic transition states, arsonate haptens, sulfonate haptens, and nucleotides - all molecules that contain tetrahedral anionic substructures (see figure below). Principles such as this govern the production of mature antibodies and can be exploited by chemists attempting to engineer efficient antibody catalysts.
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