A Python framework for structural systems biology
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Updated
Dec 7, 2020 - Python
A Python framework for structural systems biology
A Python Library for modeling combinatorial constrained problems
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!
CBMPy is a Python based platform for constraint based modelling and analysis.
Models (and data) of constrained problems developped with the library PyCSP3
Metabolic Drug Repurposing Pipeline
A coarse-grained biochemical resource allocation model of phototrophic growth.
diversity-based enumeration of optimal context-specific metabolic networks using the cobrapy library
Constraint-based metabolic modelling with sparse IPOPT
Constraint-solver to solve the problem of Field Missions-UAV-Pilot Scheduling
Pretty awesome generic sudoku solver that is faster that you will ever be.
Msc thesis project. Evaluation of gap-filling tools for constraint-based, genome-scale models.
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