Literature DB >> 29660672

Biotechnological and protein-engineering implications of ancestral protein resurrection.

Valeria A Risso1, Jose M Sanchez-Ruiz2, S Banu Ozkan3.   

Abstract

Approximations to the sequences of ancestral proteins can be derived from the sequences of their modern descendants. Proteins encoded by such reconstructed sequences can be prepared in the laboratory and subjected to experimental scrutiny. These 'resurrected' ancestral proteins often display remarkable properties, reflecting ancestral adaptations to intra-cellular and extra-cellular environments that differed from the environments hosting modern/extant proteins. Recent experimental and computational work has specifically discussed high stability, substrate and catalytic promiscuity, conformational flexibility/diversity and altered patterns of interaction with other sub-cellular components. In this review, we discuss these remarkable properties as well as recent attempts to explore their biotechnological and protein-engineering potential.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29660672     DOI: 10.1016/j.sbi.2018.02.007

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  11 in total

1.  Ancestral-sequence reconstruction unveils the structural basis of function in mammalian FMOs.

Authors:  Callum R Nicoll; Gautier Bailleul; Filippo Fiorentini; María Laura Mascotti; Marco W Fraaije; Andrea Mattevi
Journal:  Nat Struct Mol Biol       Date:  2019-12-23       Impact factor: 15.369

2.  Engineering repressors with coevolutionary cues facilitates toggle switches with a master reset.

Authors:  Rey P Dimas; Xian-Li Jiang; Jose Alberto de la Paz; Faruck Morcos; Clement T Y Chan
Journal:  Nucleic Acids Res       Date:  2019-06-04       Impact factor: 16.971

3.  The use of consensus sequence information to engineer stability and activity in proteins.

Authors:  Matt Sternke; Katherine W Tripp; Doug Barrick
Journal:  Methods Enzymol       Date:  2020-07-17       Impact factor: 1.600

4.  Consensus Design of an Evolved High-Redox Potential Laccase.

Authors:  Bernardo J Gomez-Fernandez; Valeria A Risso; Jose M Sanchez-Ruiz; Miguel Alcalde
Journal:  Front Bioeng Biotechnol       Date:  2020-05-06

5.  Functional analyses of ancestral thioredoxins provide insights into their evolutionary history.

Authors:  Silvia Napolitano; Robin J Reber; Marina Rubini; Rudi Glockshuber
Journal:  J Biol Chem       Date:  2019-07-31       Impact factor: 5.157

Review 6.  Linking molecular evolution to molecular grafting.

Authors:  Conan K Wang; David J Craik
Journal:  J Biol Chem       Date:  2021-02-16       Impact factor: 5.157

Review 7.  Ancestral sequence reconstruction - An underused approach to understand the evolution of gene function in plants?

Authors:  Federico Scossa; Alisdair R Fernie
Journal:  Comput Struct Biotechnol J       Date:  2021-03-16       Impact factor: 7.271

8.  Hinge-shift mechanism as a protein design principle for the evolution of β-lactamases from substrate promiscuity to specificity.

Authors:  Tushar Modi; Valeria A Risso; Sergio Martinez-Rodriguez; Jose A Gavira; Mubark D Mebrat; Wade D Van Horn; Jose M Sanchez-Ruiz; S Banu Ozkan
Journal:  Nat Commun       Date:  2021-03-25       Impact factor: 14.919

9.  Heme-binding enables allosteric modulation in an ancient TIM-barrel glycosidase.

Authors:  Gloria Gamiz-Arco; Luis I Gutierrez-Rus; Valeria A Risso; Beatriz Ibarra-Molero; Yosuke Hoshino; Dušan Petrović; Jose Justicia; Juan Manuel Cuerva; Adrian Romero-Rivera; Burckhard Seelig; Jose A Gavira; Shina C L Kamerlin; Eric A Gaucher; Jose M Sanchez-Ruiz
Journal:  Nat Commun       Date:  2021-01-15       Impact factor: 14.919

10.  Engineering and screening of novel β-1,3-xylanases with desired hydrolysate type by optimized ancestor sequence reconstruction and data mining.

Authors:  Bo Zeng; ShuYan Zhao; Rui Zhou; YanHong Zhou; WenHui Jin; ZhiWei Yi; GuangYa Zhang
Journal:  Comput Struct Biotechnol J       Date:  2022-06-27       Impact factor: 6.155

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