articleJournal of the American Chemical SocietyJan 9, 2024HYBRID OA

Improving Protein Expression, Stability, and Function with ProteinMPNN

KHKiera H. SumidaRNReyes Núñez‐FrancoIKIndrek KalvetSJSamuel J. PellockBIBasile I. M. Wicky

University of Washington · CIC bioGUNE · +3 more institutions

PubMed
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Abstract

Natural proteins are highly optimized for function but are often difficult to produce at a scale suitable for biotechnological applications due to poor expression in heterologous systems, limited solubility, and sensitivity to temperature. Thus, a general method that improves the physical properties of native proteins while maintaining function could have wide utility for protein-based technologies. Here, we show that the deep neural network ProteinMPNN, together with evolutionary and structural information, provides a route to increasing protein expression, stability, and function. For both myoglobin and tobacco etch virus (TEV) protease, we generated designs with improved expression, elevated melting…

Citation impact

287
total citations
FWCI
60.21
Percentile
100%
References
40
Citations per year

Authors

16

Topics & keywords

Topics
Keywords
  • Chemistry
  • Protein expression
  • Myoglobin
  • Function (biology)
  • Protease
  • Protein stability
  • Computational biology
  • Heterologous expression
UN Sustainable Development Goals
  • Good health and well-being
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