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Name: Laboratory for Metabolic Systems Engineering
Type: Organization
Location: Toronto, Canada
Blog: lmse.utoronto.ca
Name: Laboratory for Metabolic Systems Engineering
Type: Organization
Location: Toronto, Canada
Blog: lmse.utoronto.ca
Simulated Annealing-based branched novel biochemical pathway prediction tool
Analyzing Yeasts by Reconstructing Ancestry of Homologs
Bhanu's 2023 summer project.
Increasing evenness and stability in synthetic microbial consortia
Source code and input files for reproducing the results presented in "A gap-filling algorithm for prediction of metabolic interactions in microbial communities".
Enzyme Activity Prediction of Sequence Variants onNovel Substrates using Improved Substrate Encodings and Convolutional Pooling
Identifying mutations on the COVID-19 sequences gathered from https://www.gisaid.org/ database.
Nonlinear programming reformulation of dynamic flux balance analysis models
This repository contains implementations and illustrative code to accompany DeepMind publications
deep protein solubility prediction
Source code for EMILiO: A fast algorithm for genome-scale strain design.
Code to generate modeling results and parse experimental data for the research article titled "Model guided design of enhanced bi-stable controllers to effectively switch cellular states" - Raj et al (2022)
ETFL: A formulation for flux balance models accounting for expression, thermodynamics, and resource allocation constraints
Code for modeling and computational analyses for EG-to-Glycolate conversion in E. coli
Fungi pan-genome-scale network reconstruction
A repository highlighting and linking existing resources and datasets for generative protein modeling.
Gene based modification of MoVE - a tool that identifies metabolic valves to switch from a growth to a production stage.
Place of genomes. Extracting genomic protein sequences from genomic nucleotide sequences, and annotation with AYbRAH.
Perform identifiability analysis in small kinetic models for experimental design using steady state fluxes and concentrations.
The impact framework is designed to help scientists extract insight from experimental data in a transparent and reproducible fashion.
Code for Model-based Design of Bistable Cell Factories for Metabolic Engineering
this repository analyzes collected kinetic regulation in the in-house database and apply ML algorithms to estimate missing values.
The hierarchical ontology of the KinMod database allows flexible exploration of data attributes and investigation of metabolic relationships within- and cross-species. Representing missing experimental values supports the rational experimental design to abridge kinetic parameter measurements. Linking multi-omics data and providing data on the metabolic regulation network encourages the development of novel machine learning techniques for predicting missing kinetic parameters and promotes accurate kinetic model construction of cells metabolism by providing a comprehensive list of available kinetic measurements. To define a thorough depiction of KinMod data, we develop six analyses to visualize associations between data classes belonging to separate sections of the metabolism. Through these analyses, we demonstrate that the KinMod database provides a unique framework for biologists and engineers to retrieve, evaluate and compare the functional metabolism of species, including the regulatory network, and discover the extent of available and missing experimental values of the metabolic regulation.
Models associated with the research article - "An interspecies malate-pyruvate shuttle reconciles redox imbalance in an anaerobic microbial community"
A two stage optimization framework that finds optimal operating points to maximize desired process variables. First introduced in the article - "Novel two-stage processes for optimal chemical production in microbes"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.