数据与复现生物信息与基因组学K-Dense-AI/claude-scientific-skills数据与复现
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COBRApy

维护者 K-Dense Inc. · 最近更新 2026年4月1日

COBRApy is a Python library for constraint-based reconstruction and analysis (COBRA) of metabolic models, essential for systems biology research. Work with genome-scale metabolic models, perform computational simulations of cellular metabolism, conduct metabolic engineering analyses, and predict phenotypic behaviors.

Claude CodeOpenClawNanoClaw分析处理复现实验cobrapymaterialspackagematerials science & chemistry

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/cobrapy

维护者
K-Dense Inc.
许可
GPL-2.0 license
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • COBRApy是一个Python 库 ,用于 constraint-based reconstruction 、 analysis (COBRA) of metabolic models,essential ,用于 systems biology research. Work ,支持 genome-scale metabolic models,perform computational 模拟s of cellular metabolism,conduct metabolic engineering analyses,、 predict phenotypic behaviors。
  • model = load_model("textbook") # E. coli core model model = load_model("ecoli") # Full E. coli model model = load_model("salmonella")。

原始文档

SKILL.md 摘录

Core Capabilities

COBRApy provides comprehensive tools organized into several key areas:

1. Model Management

Load existing models from repositories or files:

from cobra.io import load_model

## Load from files

from cobra.io import read_sbml_model, load_json_model, load_yaml_model
model = read_sbml_model("path/to/model.xml")
model = load_json_model("path/to/model.json")
model = load_yaml_model("path/to/model.yml")
python
from cobra.io import write_sbml_model, save_json_model, save_yaml_model
write_sbml_model(model, "output.xml")  # Preferred format
save_json_model(model, "output.json")  # For Escher compatibility
save_yaml_model(model, "output.yml")   # Human-readable

适用场景

  • Use COBRApy ,用于 genomics 、 bioinformatics workflows。
  • Apply COBRApy to sequencing,variant,或 omics analysis tasks。
  • Use cobrapy ,用于 medicinal chemistry 、 drug-discovery work。
  • Apply cobrapy to compound,target,或 screening workflows。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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