Technology
Quickly communicate enabled technology and turnkey leadership skills. Uniquely enable accurate supply chains rather than frictionless technology. Globally network focused materials vis-a-vis cost effective products.
Scale-Up framework for Industrial Enzyme/Protein Developments ®
7D- Grid-AI Enzyme Engineering Technology ®
- Kcat Enzymatic brings Enzyme Engineering & Biocatalysis Revolution by using upfront in-silico in-house developed methods and algorithms using 7D Grid Technology for enzyme engineering.
- 7D Grid Technology uses Quantum Mechanic probes to “capture information across the enzymatic reaction and across the enzyme-substrate system”. This information is used by AI methods, Convolutional Neural Networks, and Support Vector Machines, to predict the kinetic properties of the enzyme.
AI/ML Technologies For Enzyme Engineering
We have developed fine-tuned algorithms involving convolutional neural networks, support vector machines, and regression fitting to predict hotspots and substitutions in enzymes.
Mechanics Of Kcat Enzymatic’s Enzyme Engineering Framework
Still, most enzyme engineering project relies on directed evolution although it is an expensive affair. Our aim is to disrupt this and make engineering very much possible with fewer experiments. On average it takes a minimum of 5000 enzyme variants to be tested in the lab to make an enzyme that works on the industrial scale and that “makes a business”.
In-Silico Guided CRISPR-Cas9 Driven Enzyme Engineering Technology
Salient features of Kcat Enzymatic CRISPR-Cas9 Enzyme EngineeringTechnology (Kit): The source gene (enzyme) of interest will be provided by Kcat Enzymatic. The kit contains
Proprietary CRISPR-Cas9 enzymes with the customized vectors, sgRNAs, and PAM that can do both specific and random mutations based on which the hotspots and regions to be mutated will be given by Kcat Enzymatic.
PHP & SSM Technology
Kcat Enzymatic advances in enzyme engineering algorithms hybridized with the Quantum Mechanics (QM) approach to derive functional hotspots and substitutions. The Site Saturated Mutagenesis (SSM) technology based on 7D Grid technology performs SSM to substitute targeted hotspots with any other naturally occurring amino acid to produce libraries of single-residue substitutions.
QM-MM Metadynamics
Kcat enzymatic has developed a proprietary QM/MM method using Fragment Molecular Orbitals (FMO) that can account for the fundamental studies, deriving the rate-limiting steps, and predicting the possible transitions and transient states of enzyme-substrate reaction.
A Server To Be Rolled Out For Enzyme Engineers
An AI Based Approach To Predict (R)/(S)-Selective Enzyme And Its Enantiomeric Excess For A Given Substrate
Metabolic Pathway and Strain Engineering
Metabolic pathway and strain engineering is the key element in constructing robust microbial chemical factories within the constraints of cost-effective production. Here in kcat enzymatic, we develop computational algorithms, novel modules and methods, and omics-based techniques combined with modeling refinement, enabling a reduction in development time and thus advancing the field of industrial biotechnology.
7d Grid Enzyme Engineering Technology ®
Kcat Enzymatic brings Enzyme Engineering & Biocatalysis Revolution by using upfront in-silico in-house developed methods and algorithms using 7D Grid Technology for enzyme engineering.
7d Grid Enzyme Engineering Technology ®
AI/ML Technologies For Enzyme Engineering
We have developed fine-tuned algorithms involving convolutional neural networks, support vector machines, and regression fitting to predict hotspots and substitutions in enzymes.
AI/ML Technologies For Enzyme Engineering
Mechanics Of Kcat Enzymatic’s Enzyme Engineering Framework
Still, most of the enzyme engineering project relies on directed evolution although it is an expensive affair.
Mechanics Of Kcat Enzymatic’s Enzyme Engineering Framework
QM-MM Metadynamics
Kcat enzymatic has developed a proprietary QM/MM method using Fragment Molecular Orbitals (FMO) that can account for the fundamental studies
QM-MM Metadynamics
An AI Based Approach To Predict (R)/(S)-Selective Enzyme And Its Enantiomeric Excess For A Given Substrate
A Server To Be Rolled Out For Enzyme Engineers
An AI Based Approach To Predict (R)/(S)-Selective Enzyme And Its Enantiomeric Excess For A Given Substrate
Metabolic Pathway and Strain Engineering
Metabolic pathway and strain engineering is the key element in constructing robust microbial chemical factories within the constraints of cost-effective production.
Metabolic Pathway and Strain Engineering
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Our Insilico Capabilities
Length And Time Scales Of Different Simulation Methods And Experimental Techniques
Computational modeling and simulation of biomolecules unravel the mechanisms of molecular-level events and predict the dynamics of complex systems at a level of detail that cannot be directly measured in experiments. With in-house designed forcefields optimized by ab initio QM calculations the effect of point mutations and bio-catalysis reaction mechanisms are studied in detail at Kcat Enzymatic
Optimization Of Substrate Diffusion And Product Egress
Optimization Of Substrate Diffusion And Product Egress Profiling substrate diffusion and product egress pathways with kinetic information account for the dynamic nature of enzyme-substrate interaction. This can enable molecular reengineering of enzymes and process optimization of enzymatic catalysis. The kinetics of enzymes is dependent on the accessibility of substrate and egress of the product.
Building Biolmolecular System
Building a biomolecular system is the crucial step for establishing multiple components in the system which makes it more realistic in in-vitro conditions. A well-built biomolecular system plays a crucial role in facilitating biological interactions and behavior of enzymes with all components in the system.