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Self-driving laboratories to autonomously navigate the protein fitness landscape

Biology

Self-driving laboratories to autonomously navigate the protein fitness landscape

J. T. Rapp, B. J. Bremer, et al.

Discover how Jacob T. Rapp, Bennett J. Bremer, and Philip A. Romero have revolutionized protein engineering with the SAMPLE platform, using intelligent agents to autonomously design and rigorously test new proteins, making significant strides in the efficiency and potential of scientific exploration.

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Playback language: English
Abstract
Protein engineering is a time-consuming and laborious process. This paper introduces the Self-driving Autonomous Machines for Protein Landscape Exploration (SAMPLE) platform for fully autonomous protein engineering. SAMPLE uses an intelligent agent to learn protein sequence-function relationships, design new proteins, and experimentally test them using a robotic system. Four SAMPLE agents successfully engineered glycoside hydrolase enzymes with enhanced thermal tolerance, demonstrating the platform's potential to accelerate scientific discovery in protein engineering and synthetic biology.
Publisher
Nature Chemical Engineering
Published On
Jan 11, 2024
Authors
Jacob T. Rapp, Bennett J. Bremer, Philip A. Romero
Tags
protein engineering
autonomous systems
SAMPLE platform
glycoside hydrolase
synthetic biology
thermal tolerance
robotics

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