A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima
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Updated
Sep 30, 2020 - Python
A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima
List of protein (enzymes, antibody, and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
KIF - Key Interactions Finder. A python package to identify the key molecular interactions that regulate any conformational change.
Web scraper to retrieve protein data catalogued by the CAZy, UniProt, NCBI, GTDB and PDB websites/databases.
A way to extract specific information from CAZy
Workflow for generate a database of proteins with quantum properties
MicrobeRX
QM/DMD engine. Protein Hybrid Discrete Dynamics/DFT
contains general information about the openTECR database
Graph Analysis Course Notes
This repository contains labs and tutorials on Convolutional Graph Networks (GCNs).
A library for parsing out data from the BRENDA database html files
Molecular size calculations for enzyme reaction screening in metal--organic frameworks
contains the actual data for the openTECR database
Figure 5 - Learning to read and write in evolution: from static pseudoenzymes and pseudosignalers to dynamic gear shifters
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
Destruction of Aqueous Microfibers Enzymatically (DAME): A novel Synthetic Biology systems approach to destroying Polyester-based Microplastic fibers
An interactive enzyme substrate simulation for LSI at Georgia Tech
Generalized yields of coupled enzymatic reactions.
Pipeline developed during my MSc thesis: "Detection of Metagenomic Enzyme Variants of Biotechnological and Ecological Interest: The Case of Plastic-Degrading Enzymes"
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