Biochemists and Biophysicists

Life, Physical, and Social Science Occupations · Job Skills & Competencies · SOC 19-1021 · 1,780 skills

Occupation context

These O*NET tasks describe the occupation. They provide context for this SOC mapping, but do not mean every listed Skill performs every task.

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.

O*NET task statements are shown in their source language (English). Task data excerpted from the O*NET® 29.1 Database (USDOL/ETA) and used under CC BY 4.0.

Representative sources

A bounded sample of popular skills mapped to this occupation, with at most one Skill from each GitHub repository. The complete mapped list follows.

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.

All mapped skills

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Skill names and descriptions remain in the language supplied by their source repository.

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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.

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.

cell-free-expression

FreedomIntelligence/OpenClaw-Medical-Skills

Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).