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A top variant identification pipeline for protein engineering.

Hui Chen1, Zhike Lu2, Lijia Ma3

  • 1Westlake Genetech, Hangzhou, China.

Cell Systems
|February 22, 2024
PubMed
Summary

This study introduces TopVIP, a pipeline for identifying high-fitness protein variants with multiple mutations. It accurately selects the best-performing variants using a zero-shot predictor and iterative sampling.

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Area of Science:

  • Protein engineering
  • Computational biology
  • Biotechnology

Background:

  • Assessing protein variant fitness with combinatorial mutations is crucial for protein engineering.
  • Developing efficient methods to identify high-performing variants is an ongoing challenge.

Purpose of the Study:

  • To present TopVIP, a novel pipeline for identifying top-performing protein variants.
  • To enable accurate selection of the greatest number of high-fitness variants.

Main Methods:

  • Utilizing a zero-shot predictor for initial variant assessment.
  • Employing low-N iterative sampling for efficient exploration of variant space.

Main Results:

  • TopVIP enables accurate identification of protein variants with high fitness.
  • The pipeline effectively selects a large number of best-performing variants.

Conclusions:

  • TopVIP provides a powerful approach for protein variant selection in protein engineering.
  • This method enhances the efficiency and accuracy of identifying superior protein designs.