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In Silico Identification and Experimental Validation of Distal Activity-Enhancing Mutations in Tryptophan Synthase.
Maria-Solano, Miguel A; Kinateder, Thomas; Iglesias-Fernández, Javier; Sterner, Reinhard; Osuna, Sílvia.
Afiliação
  • Maria-Solano MA; CompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Maria Aurèlia Capmany 69, Girona 17003, Spain.
  • Kinateder T; Global AI Drug Discovery Center, College of Pharmacy and Graduate School of Pharmaceutical Science, Ewha Womans University, Seoul 03760, Republic of Korea.
  • Iglesias-Fernández J; Institute of Biophysics and Physical Biochemistry, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstrasse 31, Regensburg 93053, Germany.
  • Sterner R; CompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Maria Aurèlia Capmany 69, Girona 17003, Spain.
  • Osuna S; Nostrum Biodiscovery, Carrer de Baldiri Reixac, 10-12, Barcelona 08028, Spain.
ACS Catal ; 11(21): 13733-13743, 2021 Nov 05.
Article em En | MEDLINE | ID: mdl-34777912
ABSTRACT
Allostery is a central mechanism for the regulation of multi-enzyme complexes. The mechanistic basis that drives allosteric regulation is poorly understood but harbors key information for enzyme engineering. In the present study, we focus on the tryptophan synthase complex that is composed of TrpA and TrpB subunits, which allosterically activate each other. Specifically, we develop a rational approach for identifying key amino acid residues of TrpB distal from the active site. Those residues are predicted to be crucial for shifting the inefficient conformational ensemble of the isolated TrpB to a productive ensemble through intra-subunit allosteric effects. The experimental validation of the conformationally driven TrpB design demonstrates its superior stand-alone activity in the absence of TrpA, comparable to those enhancements obtained after multiple rounds of experimental laboratory evolution. Our work evidences that the current challenge of distal active site prediction for enhanced function in computational enzyme design has become within reach.

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