[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CWGYEWDXADAGPTYQM5520E":3,"skill-same:01M6CWGYEWDXADAGPTYQM5520E":61},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":27,"commitSha":28,"skillDirectory":5,"forksCount":29,"repositoryHtmlUrl":30,"repositoryHomepageUrl":6,"ownerHtmlUrl":31,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":32,"install":33,"resources":46},"01M6CWGYEWDXADAGPTYQM5520E","biochemistry",null,"Chemical processes in living 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When studying enzyme mechanisms and inhibition\n- When analyzing metabolic pathways and disorders\n- When characterizing biomolecules and their interactions\n- When investigating cellular biochemistry and signaling\n- When developing biochemical assays and diagnostics\n\n## Key Concepts\n\n### Major Metabolic Pathways\n\n**Glycolysis**: Glucose → Pyruvate + ATP\n**Citric Acid Cycle**: Acetyl-CoA oxidation + electron carriers\n**Oxidative Phosphorylation**: ATP synthesis via electron transport\n**Gluconeogenesis**: Glucose synthesis from non-carbohydrates\n**Beta-Oxidation**: Fatty acid catabolism\n**Photosynthesis**: Light reactions + Calvin cycle\n\n### Enzyme Kinetics\n\n```python\n# Example: Michaelis-Menten kinetics\nimport numpy as np\n\ndef michaelis_menten(S, Vmax, Km):\n    \"\"\"\n    Calculate reaction velocity.\n    S: Substrate concentration\n    Vmax: Maximum velocity\n    Km: Michaelis constant\n    \"\"\"\n    return (Vmax * S) \u002F (Km + S)\n\ndef lineweaver_burk(S, v, Vmax, Km):\n    \"\"\"Linearize Michaelis-Menten for parameter estimation.\"\"\"\n    return 1\u002Fv, 1\u002FS, 1\u002FVmax, -1\u002FKm\n```\n\n### Key Techniques\n\n- Spectroscopy: UV-Vis, fluorescence, circular dichroism\n- Chromatography: HPLC, FPLC, affinity chromatography\n- Electrophoresis: SDS-PAGE, native PAGE, 2D gel\n- Mass spectrometry: MALDI-TOF, LC-MS\n- Calorimetry: ITC, DSC\n- Microscopy: Confocal, cryo-EM\n","## What I do\n\n- Analyze chemical reactions and processes in living systems\n- Study enzyme kinetics and catalytic mechanisms\n- Investigate metabolic pathways and regulation\n- Characterize biomolecules (proteins, nucleic acids, lipids, carbohydrates)\n- Research protein structure-function relationships\n- Apply biochemical techniques to solve biological problems\n\n## When to use me\n\n- When studying enzyme mechanisms and inhibition\n- When analyzing metabolic pathways and disorders\n- When characterizing biomolecules and their interactions\n- When investigating cellular biochemistry and signaling\n- When developing biochemical assays and diagnostics\n\n## Key Concepts\n\n### Major Metabolic Pathways\n\n**Glycolysis**: Glucose → Pyruvate + ATP\n**Citric Acid Cycle**: Acetyl-CoA oxidation + electron carriers\n**Oxidative Phosphorylation**: ATP synthesis via electron transport\n**Gluconeogenesis**: Glucose synthesis from non-carbohydrates\n**Beta-Oxidation**: Fatty acid catabolism\n**Photosynthesis**: Light reactions + Calvin cycle\n\n### Enzyme Kinetics\n\n```python\n# Example: Michaelis-Menten kinetics\nimport numpy as np\n\ndef michaelis_menten(S, Vmax, Km):\n    \"\"\"\n    Calculate reaction velocity.\n    S: Substrate concentration\n    Vmax: Maximum velocity\n    Km: Michaelis constant\n    \"\"\"\n    return (Vmax * S) \u002F (Km + S)\n\ndef lineweaver_burk(S, v, Vmax, Km):\n    \"\"\"Linearize Michaelis-Menten for parameter estimation.\"\"\"\n    return 1\u002Fv, 1\u002FS, 1\u002FVmax, -1\u002FKm\n```\n\n### Key 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