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Computer-Guided Surface Engineering for Enzyme Improvement
DOI:10.1038/s41598-018-30434-5.png)
Abstract
En 中文
Protein engineering strategies are often guided by our understanding of how the structure of a protein determines its function. However, our understanding is generally restricted to small regions of a protein, namely the active site and its immediate vicinity, while the remainder of the protein is something of an enigma. Studying highly homologous transaminases with strictly conserved active sites, but different substrate preferences and activities, we predict and experimentally validate that the surface of the protein far from the active site carries out a decisive role in substrate selectivity and catalytic efficiency. Using a unique molecular dynamics approach and novel trajectory analysis, we demonstrate the phenomenon of surface-directed ligand diffusion in this well-known protein family for the first time. Further, we identify the residues involved in directing substrate, design surface channel variants endowed for improved kinetic properties and establish a broadly applicable new approach for protein engineering.
Keywords:
LIGAND PASSAGE
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.9
Papers:
27.9W
Citations:
83.5W
Organization
Cited Papers
Substrate-Specific Screening for Mutational Hotspots Using Biased Molecular Dynamics Simulations
ACS CATALYSIS
IF13.1
Identification of novel transaminases from a 12-aminododecanoic acid-metabolizing Pseudomonas strain
Ligand diffusion in proteins via enhanced sampling in molecular dynamics
PHYSICS OF LIFE REVIEWS
IF14.3
Reverse engineering: transaminase biocatalyst development using ancestral sequence reconstruction
GREEN CHEMISTRY
IF9.2

