Gregor Wirnsberger

ORCID: 0000-0001-8331-8636
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About
Contact & Profiles
Research Areas
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • Biochemical and biochemical processes
  • Enzyme Catalysis and Immobilization
  • Microbial Metabolic Engineering and Bioproduction

University of Graz
2023-2024

Abstract Proteins are used in various biotechnological applications, often requiring the optimization of protein properties by introducing specific amino‐acid exchanges. Deep mutational scanning (DMS) is an effective high‐throughput method for evaluating effects these exchanges on function. DMS data can then inform training a neural network to predict impact mutations. Most approaches use some representation sequence and prediction. As proteins characterized complex structures intricate...

10.1002/prot.26686 article EN cc-by Proteins Structure Function and Bioinformatics 2024-03-19

Enzymatic decarboxylation of biobased hydroxycinnamic acids gives access to phenolic styrenes for adhesive production. Phenolic acid decarboxylases are proficient enzymes that have been applied in aqueous systems, organic solvents, biphasic and deep eutectic which makes stability a key feature. Stabilization the enzyme would increase total turnover number thus reduce energy consumption waste accumulation associated with biocatalyst In this study, we used ancestral sequence reconstruction...

10.1021/acssuschemeng.3c06513 article EN cc-by ACS Sustainable Chemistry & Engineering 2024-02-21

Abstract Proteins are utilized in various biotechnological applications, often requiring the optimization of protein properties by introducing specific amino acid exchanges. Deep mutational scanning (DMS) is an effective high-throughput method for evaluating effects these exchanges on function. DMS data can then inform training a neural network to predict impact mutations. Most approaches employ some representation sequence and prediction. As proteins characterized complex structures...

10.1101/2023.03.27.534314 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-03-27
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