Literature DB >> 8779715

Off-the-shelf proteins that rival tailor-made antibodies as catalysts.

F Hollfelder1, A J Kirby, D S Tawfik.   

Abstract

Mimicking the efficiency of enzyme catalysis is a daunting challenge. An enzyme selectively binds and stabilizes the transition state (s) for a particular reaction. Artificial host systems can bind ground states just as efficiently, and rate enhancements comparable to those in enzymatic reactions can be achieved by bringing catalytic and substrate groups together in intramolecular reactions. But the combination of selective binding and efficient catalysis remains elusive. The best enzyme mimics currently known are catalytic antibodies. They bind transition-state analogues with high affinity, but their catalytic efficiency generally falls far short of that of enzymes. Thorn et al. recently described an antibody that catalyses the eliminative ring-opening of a benziosoxazole "exceptionally efficiently" using carboxylate as the general base, raising the intriguing possibility that this high efficiency derives from precise positioning of catalytic and substrate groups. Here we show that familiar 'off-the-shelf' proteins--serum albumins--catalyse the same reaction at similar rates, using a lysine side-chain amino group as the catalytic general base. Comparisons suggest that formal general base catalysis is of only modest efficiency in both systems, and that the antibody catalysis is boosted by a non-specific medium effect.

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Year:  1996        PMID: 8779715     DOI: 10.1038/383060a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  27 in total

1.  Catalytic and binding poly-reactivities shared by two unrelated proteins: The potential role of promiscuity in enzyme evolution.

Authors:  L C James; D S Tawfik
Journal:  Protein Sci       Date:  2001-12       Impact factor: 6.725

2.  Optimization of the in-silico-designed kemp eliminase KE70 by computational design and directed evolution.

Authors:  Olga Khersonsky; Daniela Röthlisberger; Andrew M Wollacott; Paul Murphy; Orly Dym; Shira Albeck; Gert Kiss; K N Houk; David Baker; Dan S Tawfik
Journal:  J Mol Biol       Date:  2011-01-28       Impact factor: 5.469

3.  Iterative approach to computational enzyme design.

Authors:  Heidi K Privett; Gert Kiss; Toni M Lee; Rebecca Blomberg; Roberto A Chica; Leonard M Thomas; Donald Hilvert; Kendall N Houk; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-22       Impact factor: 11.205

4.  Bridging the gaps in design methodologies by evolutionary optimization of the stability and proficiency of designed Kemp eliminase KE59.

Authors:  Olga Khersonsky; Gert Kiss; Daniela Röthlisberger; Orly Dym; Shira Albeck; Kendall N Houk; David Baker; Dan S Tawfik
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-08       Impact factor: 11.205

5.  Evaluation and ranking of enzyme designs.

Authors:  Gert Kiss; Daniela Röthlisberger; David Baker; K N Houk
Journal:  Protein Sci       Date:  2010-09       Impact factor: 6.725

6.  Kemp Eliminase Activity of Ketosteroid Isomerase.

Authors:  Vandana Lamba; Enis Sanchez; Lauren Rose Fanning; Kathryn Howe; Maria Alejandra Alvarez; Daniel Herschlag; Marcello Forconi
Journal:  Biochemistry       Date:  2017-01-20       Impact factor: 3.162

7.  Kemp Elimination in Cationic Micelles: Designed Enzyme-Like Rates Achieved through the Addition of Long-Chain Bases.

Authors:  Enis Sanchez; Steven Lu; Carson Reed; Joshua Schmidt; Marcello Forconi
Journal:  J Phys Org Chem       Date:  2015-12-01       Impact factor: 2.391

8.  Engineering a model protein cavity to catalyze the Kemp elimination.

Authors:  Matthew Merski; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

9.  Protoenzymes: the case of hyperbranched polyesters.

Authors:  Irena Mamajanov; George D Cody
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-12-28       Impact factor: 4.226

10.  Are molecular alphabets universal enabling factors for the evolution of complex life?

Authors:  Ian S Dunn
Journal:  Orig Life Evol Biosph       Date:  2014-02-09       Impact factor: 1.950

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