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Emily E Wrenbeck1, Matthew S Faber2, Timothy A Whitehead3

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This summary is machine-generated.

Next-generation sequencing (NGS) drives protein engineering by linking genotypes to phenotypes through high-throughput screens. This enables the creation of novel antibodies and enzymes for molecular recognition and evolutionary studies.

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Area of Science:

  • Protein science
  • Molecular biology
  • Biotechnology

Background:

  • Next-generation sequencing (NGS) has transformed protein science.
  • Complementary methods for NGS-driven protein engineering have been developed.
  • These methods allow parallel analysis of thousands of protein variants.

Purpose of the Study:

  • To highlight the use of information-rich datasets for protein engineering.
  • To showcase applications in molecular recognition and enzyme evolution.
  • To discuss technological advancements in the field.

Main Methods:

  • Genotype-phenotype linked high-throughput functional screens.
  • DNA counting via deep sequencing.
  • Analysis of large datasets from protein variant experiments.

Main Results:

  • Engineering of multiple dual-affinity Fabs targeting diverse epitopes.
  • Development of a broad germline-targeted anti-HIV-1 immunogen.
  • Generation of enzyme fitness landscapes for fundamental studies.

Conclusions:

  • NGS-driven protein engineering enables significant advancements in molecular recognition and understanding protein behavior.
  • High-throughput screening and deep sequencing are powerful tools for protein design.
  • Continued technological development promises further innovation in protein science.