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Computing Cellulase Kinetics with a Two-Domain Linear Interaction Energy Approach.
Schaller, Kay S; Kari, Jeppe; Molina, Gustavo A; Tidemand, Kasper D; Borch, Kim; Peters, Günther H J; Westh, Peter.
Afiliação
  • Schaller KS; Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, DK-2800 Kgs. Lyngby, Denmark.
  • Kari J; Department of Chemistry, Technical University of Denmark, Kemitorvet, DK-2800 Kgs. Lyngby, Denmark.
  • Molina GA; Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, DK-2800 Kgs. Lyngby, Denmark.
  • Tidemand KD; Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, DK-2800 Kgs. Lyngby, Denmark.
  • Borch K; Novozymes A/S, Biologiens Vej 2, DK-2800 Kgs. Lyngby, Denmark.
  • Peters GHJ; Novozymes A/S, Biologiens Vej 2, DK-2800 Kgs. Lyngby, Denmark.
  • Westh P; Department of Chemistry, Technical University of Denmark, Kemitorvet, DK-2800 Kgs. Lyngby, Denmark.
ACS Omega ; 6(2): 1547-1555, 2021 Jan 19.
Article em En | MEDLINE | ID: mdl-33490814
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article