Biochemiker und Biophysiker

Natur- und Sozialwissenschaften · Berufliche Fähigkeiten & Kompetenzen · SOC 19-1021 · 1.822 Skills

Beruflicher Kontext

Diese O*NET-Aufgaben beschreiben den Beruf und geben Kontext für die SOC-Zuordnung. Sie bedeuten nicht, dass jeder aufgeführte Skill jede Aufgabe erfüllt.

Share research findings by writing scientific articles or by making presentations at scientific conferences.
Teach or advise undergraduate or graduate students or supervise their research.
Study physical principles of living cells or organisms and their electrical or mechanical energy, applying methods and knowledge of mathematics, physics, chemistry, or biology.

Die O*NET-Aufgaben werden in ihrer Ausgangssprache (Englisch) angezeigt. Die Aufgabendaten sind der O*NET® 29.1 Database der USDOL/ETA entnommen und werden gemäß CC BY 4.0 verwendet.

Repräsentative Quellen

Eine begrenzte Auswahl beliebter, diesem Beruf zugeordneter Skills, mit höchstens einem Skill je GitHub-Repository. Darunter folgt die vollständige Zuordnung.

davila7/claude-code-templates

Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.

molecular-optimization

synthetic-sciences/openscience

Iterative lead optimization with analyze-reason-generate-verify-evaluate loop. Paper-backed (MT-Mol, DrugR, MultiMol).

bio-molecular-descriptors

FreedomIntelligence/OpenClaw-Medical-Skills

Calculates molecular descriptors and fingerprints using RDKit. Computes Morgan fingerprints (ECFP), MACCS keys, Lipinski properties, QED drug-likeness, TPSA, and 3D conformer descriptors. Use when featurizing molecules for machine learning or filtering by drug-likeness criteria.

Alle zugeordneten Skills

Durchsuchen Sie die vollständige Zuordnung nach Repository-Beliebtheit oder jüngster Quellaktivität.

Namen und Beschreibungen der Skills bleiben in der vom Quell-Repository bereitgestellten Sprache.

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davila7/claude-code-templates

Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.

molecular-optimization

synthetic-sciences/openscience

Iterative lead optimization with analyze-reason-generate-verify-evaluate loop. Paper-backed (MT-Mol, DrugR, MultiMol).

pocket-detection

synthetic-sciences/openscience

Multi-method binding pocket detection and druggability assessment. Grid-based, fpocket, and P2Rank detection with druggability scoring, visualization, and cross-structure comparison.

brenda-database

synthetic-sciences/openscience

Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.

bio-molecular-descriptors

FreedomIntelligence/OpenClaw-Medical-Skills

Calculates molecular descriptors and fingerprints using RDKit. Computes Morgan fingerprints (ECFP), MACCS keys, Lipinski properties, QED drug-likeness, TPSA, and 3D conformer descriptors. Use when featurizing molecules for machine learning or filtering by drug-likeness criteria.

bio-pdb-geometric-analysis

FreedomIntelligence/OpenClaw-Medical-Skills

Perform geometric calculations on protein structures using Biopython Bio.PDB. Use when measuring distances, angles, and dihedrals, superimposing structures, calculating RMSD, or computing solvent accessible surface area (SASA).

bio-pdb-structure-io

FreedomIntelligence/OpenClaw-Medical-Skills

Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.

bio-pdb-structure-modification

FreedomIntelligence/OpenClaw-Medical-Skills

Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.

bio-pdb-structure-navigation

FreedomIntelligence/OpenClaw-Medical-Skills

Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use when accessing models, chains, residues, and atoms, iterating over structure levels, or extracting sequences from PDB files.

bio-structural-biology-alphafold-predictions

FreedomIntelligence/OpenClaw-Medical-Skills

Access and analyze AlphaFold protein structure predictions. Use when predicted structures are needed for proteins without experimental structures, or for confidence scores (pLDDT).

bio-structural-biology-modern-structure-prediction

FreedomIntelligence/OpenClaw-Medical-Skills

Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. Use when predicting structures for novel proteins, protein complexes, or when comparing predictions across multiple methods.

bio-virtual-screening

FreedomIntelligence/OpenClaw-Medical-Skills

Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.