klamt-lab/straindesign

StrainDesign is a python package for the computational design of metabolic networks and based on COBRApy

Language: Python - Size: 39.3 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 42 - Forks: 7

klamt-lab/autopacmen

Retrieves kcat data and adds protein allocation constraints to stoichiometric metabolic models according to the sMOMENT method

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klamt-lab/TCOSA

Thermodynamic Cofactor Swapping Analysis

Language: Python - Size: 3.7 GB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

klamt-lab/GDP-Fucose_OptMet2023_Paper

Contains all relevant data of the 2023 GDP-Fucose paper.

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klamt-lab/OptMSP

Language: Jupyter Notebook - Size: 4.79 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

klamt-lab/astheriscPackage

Search for and find thermodynamic advantages for product synthesis using metabolic single-species community models

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klamt-lab/Kinetic-models-of-E.-coli

Kinetic model of E. coli's central metabolism under anaerobic conditions. These models are part of a submitted manuscript of Boecker et al.

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klamt-lab/Models_E.coli_High_ATP_Demand

Kinetic and stoichiometric model for the simulation of enforced ATPwasting in E.coli

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klamt-lab/CNApy

The Klamt lab is the main developer of CNApy, an integrated environment for metabolic network analysis which you can find here: https://github.com/cnapy-org/CNApy

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klamt-lab/CommModelPy

Create stoichiometric metabolic network models of single-species or multi-species communities

Language: Python - Size: 6.54 MB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

klamt-lab/CNAhelpers

A bunch of functions that come in handy when working with CNA

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klamt-lab/MEMO

Models and scripts for the MEMO paper

Language: MATLAB - Size: 2.38 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

klamt-lab/MCS_growth-coupling

Scripts to compute MCS for different growth coupling degrees

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klamt-lab/Anleitung

Anleitung zur Benutzung unserer GitHub-Organisation

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klamt-lab/FLB_NB_benchmarks

Functions and data for running the benchmarks

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klamt-lab/MCS_extended

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klamt-lab/characterize_and_rank_MCS

Characterizing and Ranking Computed Metabolic Engineering Strategies, Schneider P and Klamt S (2019), Bioinformatics, 25: 3063-3072

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