Exécutez n'importe quel Skill dans Manus
en un clic

Exécutez n'importe quel Skill dans Manus en un clic

Biochimistes et biophysiciens

Sciences de la vie, physiques et sociales · Compétences professionnelles · SOC 19-1021 · 1,722 skills

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▶3 tâches typiques d'O*NET

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.

Les données sur les tâches sont extraites de la O*NET® 29.1 Database de l’USDOL/ETA et utilisées sous CC BY 4.0.

glycoengineering

K-Dense-AI/scientific-agent-skills

Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.

molecular-dynamics

K-Dense-AI/scientific-agent-skills

Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.

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.

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).

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