About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Computing Cellulase Kinetics with a Two-Domain Linear Interaction Energy Approach

In Acs Omega 2021, Volume 6, Issue 2, pp. 1547-1555
From

Section for Protein Chemistry and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark1

Department of Biotechnology and Biomedicine, Technical University of Denmark2

Department of Chemistry, Technical University of Denmark3

Novozymes A/S4

While heterogeneous enzyme reactions play an essential role in both nature and green industries, computational predictions of their catalytic properties remain scarce. Recent experimental work demonstrated the applicability of the Sabatier principle for heterogeneous biocatalysis. This provides a simple relationship between binding strength and the catalytic rate and potentially opens a new way for inexpensive computational determination of kinetic parameters.

However, broader implementation of this approach will require fast and reliable prediction of binding free energies of complex two-phase systems, and computational procedures for this are still elusive. Here, we propose a new framework for the assessment of the binding strengths of multidomain proteins, in general, and interfacial enzymes, in particular, based on an extended linear interaction energy (LIE) method.

This two-domain LIE (2D-LIE) approach was successfully applied to predict binding and activation free energies of a diverse set of cellulases and resulted in robust models with high accuracy. Overall, our method provides a fast computational screening tool for cellulases that have not been experimentally characterized, and we posit that it may also be applicable to other heterogeneously acting biocatalysts.

Language: English
Publisher: American Chemical Society
Year: 2021
Pages: 1547-1555
ISSN: 24701343
Types: Journal article
DOI: 10.1021/acsomega.0c05361
ORCIDs: Schaller, Kay , Kari, Jeppe , Molina, Gustavo A. , Peters, Günther H.J. and Westh, Peter
Keywords

Chemistry QD1-999

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis