Literature DB >> 27374812

The role of side chain entropy and mutual information for improving the de novo design of Kemp eliminases KE07 and KE70.

Asmit Bhowmick1, Sudhir C Sharma, Hallie Honma, Teresa Head-Gordon.   

Abstract

Side chain entropy and mutual entropy information between residue pairs have been calculated for two de novo designed Kemp eliminase enzymes, KE07 and KE70, and for their most improved versions at the end of laboratory directed evolution (LDE). We find that entropy, not just enthalpy, helped to destabilize the preference for the reactant state complex of the designed enzyme as well as favoring stabilization of the transition state complex for the best LDE enzymes. Furthermore, residues with the highest side chain couplings as measured by mutual information, when experimentally mutated, were found to diminish or annihilate catalytic activity, some of which were far from the active site. In summary, our findings demonstrate how side chain fluctuations and their coupling can be an important design feature for de novo enzymes, and furthermore could be utilized in the computational steps in lieu of or in addition to the LDE steps in future enzyme design projects.

Mesh:

Year:  2016        PMID: 27374812     DOI: 10.1039/c6cp03622h

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  9 in total

1.  Exploring the Development of Ground-State Destabilization and Transition-State Stabilization in Two Directed Evolution Paths of Kemp Eliminases.

Authors:  Garima Jindal; Balajee Ramachandran; Ram Prasad Bora; Arieh Warshel
Journal:  ACS Catal       Date:  2017-03-30       Impact factor: 13.084

2.  Computational Analysis of Energy Landscapes Reveals Dynamic Features That Contribute to Binding of Inhibitors to CFTR-Associated Ligand.

Authors:  Graham T Holt; Jonathan D Jou; Nicholas P Gill; Anna U Lowegard; Jeffrey W Martin; Dean R Madden; Bruce R Donald
Journal:  J Phys Chem B       Date:  2019-11-27       Impact factor: 2.991

3.  Evolution of dynamical networks enhances catalysis in a designer enzyme.

Authors:  H Adrian Bunzel; J L Ross Anderson; Donald Hilvert; Vickery L Arcus; Marc W van der Kamp; Adrian J Mulholland
Journal:  Nat Chem       Date:  2021-08-19       Impact factor: 24.427

4.  Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes.

Authors:  Wen Jun Xie; Arieh Warshel
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-28       Impact factor: 12.779

Review 5.  Harnessing Conformational Plasticity to Generate Designer Enzymes.

Authors:  Rory M Crean; Jasmine M Gardner; Shina C L Kamerlin
Journal:  J Am Chem Soc       Date:  2020-06-17       Impact factor: 15.419

Review 6.  Macromolecular modeling and design in Rosetta: recent methods and frameworks.

Authors:  Julia Koehler Leman; Brian D Weitzner; Steven M Lewis; Jared Adolf-Bryfogle; Nawsad Alam; Rebecca F Alford; Melanie Aprahamian; David Baker; Kyle A Barlow; Patrick Barth; Benjamin Basanta; Brian J Bender; Kristin Blacklock; Jaume Bonet; Scott E Boyken; Phil Bradley; Chris Bystroff; Patrick Conway; Seth Cooper; Bruno E Correia; Brian Coventry; Rhiju Das; René M De Jong; Frank DiMaio; Lorna Dsilva; Roland Dunbrack; Alexander S Ford; Brandon Frenz; Darwin Y Fu; Caleb Geniesse; Lukasz Goldschmidt; Ragul Gowthaman; Jeffrey J Gray; Dominik Gront; Sharon Guffy; Scott Horowitz; Po-Ssu Huang; Thomas Huber; Tim M Jacobs; Jeliazko R Jeliazkov; David K Johnson; Kalli Kappel; John Karanicolas; Hamed Khakzad; Karen R Khar; Sagar D Khare; Firas Khatib; Alisa Khramushin; Indigo C King; Robert Kleffner; Brian Koepnick; Tanja Kortemme; Georg Kuenze; Brian Kuhlman; Daisuke Kuroda; Jason W Labonte; Jason K Lai; Gideon Lapidoth; Andrew Leaver-Fay; Steffen Lindert; Thomas Linsky; Nir London; Joseph H Lubin; Sergey Lyskov; Jack Maguire; Lars Malmström; Enrique Marcos; Orly Marcu; Nicholas A Marze; Jens Meiler; Rocco Moretti; Vikram Khipple Mulligan; Santrupti Nerli; Christoffer Norn; Shane Ó'Conchúir; Noah Ollikainen; Sergey Ovchinnikov; Michael S Pacella; Xingjie Pan; Hahnbeom Park; Ryan E Pavlovicz; Manasi Pethe; Brian G Pierce; Kala Bharath Pilla; Barak Raveh; P Douglas Renfrew; Shourya S Roy Burman; Aliza Rubenstein; Marion F Sauer; Andreas Scheck; William Schief; Ora Schueler-Furman; Yuval Sedan; Alexander M Sevy; Nikolaos G Sgourakis; Lei Shi; Justin B Siegel; Daniel-Adriano Silva; Shannon Smith; Yifan Song; Amelie Stein; Maria Szegedy; Frank D Teets; Summer B Thyme; Ray Yu-Ruei Wang; Andrew Watkins; Lior Zimmerman; Richard Bonneau
Journal:  Nat Methods       Date:  2020-06-01       Impact factor: 28.547

7.  The evolution of multiple active site configurations in a designed enzyme.

Authors:  Nan-Sook Hong; Dušan Petrović; Richmond Lee; Ganna Gryn'ova; Miha Purg; Jake Saunders; Paul Bauer; Paul D Carr; Ching-Yeh Lin; Peter D Mabbitt; William Zhang; Timothy Altamore; Chris Easton; Michelle L Coote; Shina C L Kamerlin; Colin J Jackson
Journal:  Nat Commun       Date:  2018-09-25       Impact factor: 14.919

8.  Bottom-Up Nonempirical Approach To Reducing Search Space in Enzyme Design Guided by Catalytic Fields.

Authors:  Wiktor Beker; W Andrzej Sokalski
Journal:  J Chem Theory Comput       Date:  2020-04-23       Impact factor: 6.006

9.  Extension of an Atom-Atom Dispersion Function to Halogen Bonds and Its Use for Rational Design of Drugs and Biocatalysts.

Authors:  Wiktoria Jedwabny; Edyta Dyguda-Kazimierowicz; Katarzyna Pernal; Krzysztof Szalewicz; Konrad Patkowski
Journal:  J Phys Chem A       Date:  2021-02-23       Impact factor: 2.781

  9 in total

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