Abstract

The aspiration to mimic and accelerate natural evolution has fueled interest in directed evolution experiments, which endow or enhance functionality in enzymes. Barring a few de novo approaches, most methods take a template protein having the desired activity, known active site residues and structure, and proceed to select a target protein which has a pre-existing scaffold congruent to the template motif. Previously, we have established a computational method (CLASP) based on spatial and electrostatic properties to detect active sites, and a method to quantify promiscuity in proteins. We exploit the prospect of promiscuous active sites to serve as the starting point for directed evolution and present a method to select a target protein which possesses a significant partial match with the template scaffold (DECAAF). A library of partial motifs, constructed from the active site residues of the template protein, is used to rank a set of target proteins based on maximal significant matches with the partial motifs, and cull out the best candidate from the reduced set as the target protein. Considering the scenario where this ‘incubator’ protein lacks activity, we identify mutations in the target protein that will mirror the template motif by superimposing the target and template protein based on the partial match. Using this superimposition technique, we analyzed the less than expected gain of activity achieved by an attempt to induce β-lactamase activity in a penicillin binding protein (PBP) (PBP-A from T. elongatus), and attributed this to steric hindrance from neighboring residues. We also propose mutations in PBP-5 from E. coli, which does not have similar steric constraints. The flow details have been worked out in an example which aims to select a substitute protein for human neutrophil elastase, preferably related to grapevines, in a chimeric anti-microbial enzyme which bolsters the innate immune defense system of grapevines.

Highlights

  • Directed evolution experiments aspire to mimic and accelerate natural evolution

  • CLASP analysis of the catalytic residues in Class A b-lactamases identified the dichotomy in the proton abstraction mechanism [30], Based on this idea, we proposed a method that enumerates the possible pathways for proton abstraction [31]

  • We present a computational method that selects a protein which has a significant match with a desired catalytic scaffold - Directed evolution using CLASP: an automated flow (DECAAF)

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Summary

Introduction

Directed evolution experiments aspire to mimic and accelerate natural evolution. The methodology typically consists of random mutations [1], in vitro recombination [2,3,4,5,6], continuous evolution [7,8], intramolecular relocation of the N and C termini of a protein [9,10] and high-throughput screening [11,12]. Directed evolution techniques have sought out the remnants of secondary activities [21,22,23], with the rationale that the presence of a pre-existing catalytic scaffold increases the odds of success in endowing the activity to the protein [24,25,26,27,28]. Jensen hypothesized that ancient enzymes were sparse and promiscuous [33], and this promiscuity formed the basis of the evolution of complex organisms through gene duplication and specialization [34,35]. This hypothesis germinated the idea of selecting promiscuous active sites to serve as a pre-existing scaffold for directed evolution

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