Rational design of an XNA ligase through docking of unbound nucleic acids to toroidal proteins

Author:

Vanmeert Michiel1,Razzokov Jamoliddin2,Mirza Muhammad Usman13,Weeks Stephen D4,Schepers Guy1,Bogaerts Annemie2,Rozenski Jef1,Froeyen Mathy1,Herdewijn Piet1,Pinheiro Vitor B15,Lescrinier Eveline1

Affiliation:

1. Medicinal Chemistry, Rega Institute for Medical Research, KU Leuven, Herestraat 49, box 1041, 3000 Leuven, Belgium

2. Research group PLASMANT, Department of Chemistry, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium

3. Centre for Research in Molecular Medicine (CRiMM), University of Lahore, Pakistan

4. Biocrystallography, KU Leuven, Herestraat 49, box 822, 3000 Leuven, Belgium

5. University College London, Department of Structural and Molecular Biology, Gower Street, London, WC1E 6BT, UK

Abstract

AbstractXenobiotic nucleic acids (XNA) are nucleic acid analogues not present in nature that can be used for the storage of genetic information. In vivo XNA applications could be developed into novel biocontainment strategies, but are currently limited by the challenge of developing XNA processing enzymes such as polymerases, ligases and nucleases. Here, we present a structure-guided modelling-based strategy for the rational design of those enzymes essential for the development of XNA molecular biology. Docking of protein domains to unbound double-stranded nucleic acids is used to generate a first approximation of the extensive interaction of nucleic acid processing enzymes with their substrate. Molecular dynamics is used to optimise that prediction allowing, for the first time, the accurate prediction of how proteins that form toroidal complexes with nucleic acids interact with their substrate. Using the Chlorella virus DNA ligase as a proof of principle, we recapitulate the ligase's substrate specificity and successfully predict how to convert it into an XNA-templated XNA ligase.

Funder

European Research Council

KU Leuven

Biotechnology and Biosciences Research Council

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference54 articles.

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