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Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics.
Markin, C J; Mokhtari, D A; Sunden, F; Appel, M J; Akiva, E; Longwell, S A; Sabatti, C; Herschlag, D; Fordyce, P M.
Affiliation
  • Markin CJ; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
  • Mokhtari DA; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
  • Sunden F; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
  • Appel MJ; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
  • Akiva E; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA.
  • Longwell SA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Sabatti C; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
  • Herschlag D; Department of Statistics, Stanford University, Stanford, CA 94305, USA.
  • Fordyce PM; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA. herschla@stanford.edu pfordyce@stanford.edu.
Science ; 373(6553)2021 07 23.
Article in En | MEDLINE | ID: mdl-34437092
ABSTRACT
Systematic and extensive investigation of enzymes is needed to understand their extraordinary efficiency and meet current challenges in medicine and engineering. We present HT-MEK (High-Throughput Microfluidic Enzyme Kinetics), a microfluidic platform for high-throughput expression, purification, and characterization of more than 1500 enzyme variants per experiment. For 1036 mutants of the alkaline phosphatase PafA (phosphate-irrepressible alkaline phosphatase of Flavobacterium), we performed more than 670,000 reactions and determined more than 5000 kinetic and physical constants for multiple substrates and inhibitors. We uncovered extensive kinetic partitioning to a misfolded state and isolated catalytic effects, revealing spatially contiguous regions of residues linked to particular aspects of function. Regions included active-site proximal residues but extended to the enzyme surface, providing a map of underlying architecture not possible to derive from existing approaches. HT-MEK has applications that range from understanding molecular mechanisms to medicine, engineering, and design.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Alkaline Phosphatase Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Main subject: Alkaline Phosphatase Language: En Year: 2021 Type: Article