Literature DB >> 17176071

Redesigning the PheA domain of gramicidin synthetase leads to a new understanding of the enzyme's mechanism and selectivity.

Brian W Stevens1, Ryan H Lilien, Ivelin Georgiev, Bruce R Donald, Amy C Anderson.   

Abstract

The PheA domain of gramicidin synthetase A, a non-ribosomal peptide synthetase, selectively binds phenylalanine along with ATP and Mg2+ and catalyzes the formation of an aminoacyl adenylate. In this study, we have used a novel protein redesign algorithm, K*, to predict mutations in PheA that should exhibit improved binding for tyrosine. Interestingly, the introduction of two predicted mutations to PheA did not significantly improve KD, as measured by equilibrium fluorescence quenching. However, the mutations improved the specificity of the enzyme for tyrosine (as measured by kcat/KM), primarily driven by a 56-fold improvement in KM, although the improvement did not make tyrosine the preferred substrate over phenylalanine. Using stopped-flow fluorometry, we examined binding of different amino acid substrates to the wild-type and mutant enzymes in the pre-steady state in order to understand the improvement in KM. Through these investigations, it became evident that substrate binding to the wild-type enzyme is more complex than previously described. These experiments show that the wild-type enzyme binds phenylalanine in a kinetically selective manner; no other amino acids tested appeared to bind the enzyme in the early time frame examined (500 ms). Furthermore, experiments with PheA, phenylalanine, and ATP reveal a two-step binding process, suggesting that the PheA-ATP-phenylalanine complex may undergo a conformational change toward a catalytically relevant intermediate on the pathway to adenylation; experiments with PheA, phenylalanine, and other nucleotides exhibit only a one-step binding process. The improvement in KM for the mutant enzyme toward tyrosine, as predicted by K*, may indicate that redesigning the side-chain binding pocket allows the substrate backbone to adopt productive conformations for catalysis but that further improvements may be afforded by modeling an enzyme:ATP:substrate complex, which is capable of undergoing conformational change.

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Year:  2006        PMID: 17176071     DOI: 10.1021/bi061788m

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  26 in total

1.  BWM*: A Novel, Provable, Ensemble-based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design.

Authors:  Jonathan D Jou; Swati Jain; Ivelin S Georgiev; Bruce R Donald
Journal:  J Comput Biol       Date:  2016-01-08       Impact factor: 1.479

2.  Computational structure-based redesign of enzyme activity.

Authors:  Cheng-Yu Chen; Ivelin Georgiev; Amy C Anderson; Bruce R Donald
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-19       Impact factor: 11.205

3.  Substrate-Induced Conformational Changes of the Tyrocidine Synthetase 1 Adenylation Domain Probed by Intrinsic Trp Fluorescence.

Authors:  Matilda Šprung; Barbara Soldo; Stjepan Orhanović; Viljemka Bučević-Popović
Journal:  Protein J       Date:  2017-06       Impact factor: 2.371

4.  cOSPREY: A Cloud-Based Distributed Algorithm for Large-Scale Computational Protein Design.

Authors:  Yuchao Pan; Yuxi Dong; Jingtian Zhou; Mark Hallen; Bruce R Donald; Jianyang Zeng; Wei Xu
Journal:  J Comput Biol       Date:  2016-05-06       Impact factor: 1.479

5.  LUTE (Local Unpruned Tuple Expansion): Accurate Continuously Flexible Protein Design with General Energy Functions and Rigid Rotamer-Like Efficiency.

Authors:  Mark A Hallen; Jonathan D Jou; Bruce R Donald
Journal:  J Comput Biol       Date:  2016-09-28       Impact factor: 1.479

6.  comets (Constrained Optimization of Multistate Energies by Tree Search): A Provable and Efficient Protein Design Algorithm to Optimize Binding Affinity and Specificity with Respect to Sequence.

Authors:  Mark A Hallen; Bruce R Donald
Journal:  J Comput Biol       Date:  2016-01-13       Impact factor: 1.479

7.  BBK* (Branch and Bound Over K*): A Provable and Efficient Ensemble-Based Protein Design Algorithm to Optimize Stability and Binding Affinity Over Large Sequence Spaces.

Authors:  Adegoke A Ojewole; Jonathan D Jou; Vance G Fowler; Bruce R Donald
Journal:  J Comput Biol       Date:  2018-03-13       Impact factor: 1.479

8.  Minimization-Aware Recursive K*: A Novel, Provable Algorithm that Accelerates Ensemble-Based Protein Design and Provably Approximates the Energy Landscape.

Authors:  Jonathan D Jou; Graham T Holt; Anna U Lowegard; Bruce R Donald
Journal:  J Comput Biol       Date:  2019-12-06       Impact factor: 1.479

9.  The minimized dead-end elimination criterion and its application to protein redesign in a hybrid scoring and search algorithm for computing partition functions over molecular ensembles.

Authors:  Ivelin Georgiev; Ryan H Lilien; Bruce R Donald
Journal:  J Comput Chem       Date:  2008-07-30       Impact factor: 3.376

10.  Algorithm for backrub motions in protein design.

Authors:  Ivelin Georgiev; Daniel Keedy; Jane S Richardson; David C Richardson; Bruce R Donald
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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