Fast yet accurate routine rational design of novel enzymes
FASTEN aims to develop a rapid computational method for designing efficient enzymes, enhancing industrial enzyme catalysis and sustainability through advanced computational techniques.
Projectdetails
Introduction
Life could not be sustained without the presence of enzymes, which are responsible for accelerating the chemical reactions in a biologically compatible timescale. Enzymes present other advantageous features such as high specificity and selectivity, plus they operate under very mild biological conditions.
Motivation
Inspired by these extraordinary characteristics, many scientists wondered about the possibility of designing new enzymes for industrially relevant targets. Unfortunately, none of the current enzyme design strategies is able to rapidly design tailor-made enzymes at a reduced cost. This limitation affects the general routine application of enzyme catalysis in industry, thus impacting chemical manufacturing competitiveness.
Project Goal
The goal of this project is to develop a fast yet accurate computational enzyme design approach for allowing the routine design of highly efficient enzymes.
Methodology
FASTEN combines several advanced techniques:
- Computational chemistry
- Deep learning
- Graph theory
- Computational geometry
These techniques are used for controlling the complexity of enzyme catalysis in a new computational protocol that will capture the chemical steps and conformational changes that take place along the catalytic itinerary.
Design Predictions
Active site and distal activity-enhancing mutations are predicted based on correlation and co-evolutionary-based guidelines. The catalytic potential of the new designs is estimated by means of geometry-based oracles.
Validation
This new computational approach will be validated with the design of enzymes presenting complex conformational dynamics and multi-step mechanisms. The experimental evaluation of many of the designs will finally reveal the potential of this new approach for the fast routine design of industrially relevant enzymes.
Impact
FASTEN has the potential of making the routine design of enzymes possible, thus improving our current lives and leading to a more sustainable world for our generations.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.996.250 |
Totale projectbegroting | € 1.996.250 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITAT DE GIRONApenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Computational design of industrial enzymes for green chemistryGREENZYME aims to revolutionize enzyme design using deep learning and computational methods to create efficient, eco-friendly catalysts, reducing drug production costs and promoting green chemistry. | ERC Proof of... | € 150.000 | 2023 | Details |
Development of rationally designed enzyme kitsKITZYME aims to create patentable enzyme kits for stereoselective carbon-carbon bond formation using advanced computational methods to enhance catalytic efficiency sustainably and cost-effectively. | ERC Proof of... | € 150.000 | 2024 | Details |
Continuous Enzyme Evolution – solving bottlenecks in enzyme engineering to design next-generation biocatalystsThe ContiZymes project aims to develop a scalable continuous evolution platform for rapidly engineering valuable biocatalysts, enhancing enzyme efficiency and mapping their functional properties. | ERC Consolid... | € 1.999.991 | 2024 | Details |
Electrifying Peptide Synthesis for Directed Evolution of Artificial EnzymesThis project aims to develop robust artificial enzymes through directed evolution with artificial amino acids, enhancing energy conversion efficiency for renewable energy applications. | ERC Consolid... | € 1.997.993 | 2022 | Details |
Energy Transfer Catalysis: A Highway to Molecular ComplexityHighEnT aims to innovate synthetic methodologies using visible light-mediated EnT catalysis to create complex organic molecules for pharmacological applications, enhancing chemical space and reaction design. | ERC Advanced... | € 2.499.250 | 2023 | Details |
Computational design of industrial enzymes for green chemistry
GREENZYME aims to revolutionize enzyme design using deep learning and computational methods to create efficient, eco-friendly catalysts, reducing drug production costs and promoting green chemistry.
Development of rationally designed enzyme kits
KITZYME aims to create patentable enzyme kits for stereoselective carbon-carbon bond formation using advanced computational methods to enhance catalytic efficiency sustainably and cost-effectively.
Continuous Enzyme Evolution – solving bottlenecks in enzyme engineering to design next-generation biocatalysts
The ContiZymes project aims to develop a scalable continuous evolution platform for rapidly engineering valuable biocatalysts, enhancing enzyme efficiency and mapping their functional properties.
Electrifying Peptide Synthesis for Directed Evolution of Artificial Enzymes
This project aims to develop robust artificial enzymes through directed evolution with artificial amino acids, enhancing energy conversion efficiency for renewable energy applications.
Energy Transfer Catalysis: A Highway to Molecular Complexity
HighEnT aims to innovate synthetic methodologies using visible light-mediated EnT catalysis to create complex organic molecules for pharmacological applications, enhancing chemical space and reaction design.