Many genomic tools are made possible by molecular assays that harness the diverse functionality of enzymes. The performance of these tools is currently limited by the intrinsic properties of their enzyme components. For example, preparation of next generation sequencing libraries from low-concentration samples requires accurate and robust PCR amplification. Utilizing our CodeEvolver® directed evolution platform, we engineered a proofreading thermostable DNA polymerase for NGS applications. In this presentation, we highlight the use of machine learning to improve replication fidelity, uniformity of coverage, and amplification yields. We dive into how these software tools are critical for the successful engineering of commercial products and touch on how to maximize the experimental results to make predictions.

Engineering of a robust, high-fidelity DNA polymerase for use in NGS library amplification

ACS Fall 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.