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protein-structure-analysis

protein-structure-analysis

github.com/awslabsData & databases6876 installsUpdated 4w ago
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About protein-structure-analysis

A reasoning skill for Agents analyzing protein structures with tools such as Biopython and PyMOL. It focuses on tool selection, parameter choices, format conversion, and pitfalls in common structural workflows.

Key features

  1. 01PDB/mmCIF parsing guidance
  2. 02RMSD atom selection and matching
  3. 03Binding-pocket detection and viewing
  4. 04Contact, secondary-structure, and angle analysis
  5. 05Structure format-conversion rules

Use cases

  1. 01Compare protein structures and calculate RMSD
  2. 02Detect and visualize ligand-binding pockets
  3. 03Convert structures to PDBQT for docking
  4. 04Analyze Ramachandran plots or contact maps

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/awslabs/hcls-agent-skills --skill protein-structure-analysis

After installing, type/protein-structure-analysisin Claude Code to confirm it loaded.

Details

From the project README

Protein Structure Analysis — Pipeline Skill (Thin Scaffold)

Overview

Adds tool-selection logic, format-conversion rules, and niche gotchas for protein structure tasks. The agent already knows Biopython/PyMOL syntax — this skill prevents common parameter and workflow mistakes.

Usage

  • Activate when parsing PDB/mmCIF, computing RMSD, detecting pockets, or converting formats
  • Activate for Ramachandran plots, contact maps, B-factor analysis, or DSSP assignment
  • Activate when preparing structures for downstream docking (PDBQT export)

Core Concepts

SMCRA hierarchy: Structure → Model → Chain → Residue → Atom. Always iterate at the correct level; NMR files have multiple models.

Altloc: Alternate conformations flagged with non-blank code ('A','B'). Filter to one before any geometry calculation.

fpocket output: Writes <basename>_out/ in the current working directory, not next to the input file. Pockets ranked by druggability score (0–1).

Decision Logic

Tool Selection
TaskToolKey consideration
Parse PDB/mmCIFBiopython PDBParser/MMCIFParserAlways pass QUIET=True
RMSD superpositionBio.PDB.SuperimposerRequires equal-length, 1-to-1 atom lists
Binding pocket detectionfpocket CLINeeds clean PDB (no altloc, no HETATM clutter)
Pocket visualizationPyMOL (-cq for headless)byres all within 5 of organic for pocket selection
Contact analysisBio.PDB.NeighborSearch4.0 Å default cutoff; returns atom pairs
Secondary structureDSSP via BiopythonBinary is mkdssp on newer installs
Format: PDB→mmCIFBio.PDB.MMCIFIOLossless for coordinates
Format: PDB→PDBQTobabel -O out.pdbqt -xrAdd -xh for hydrogens first
RamachandranPPBuilder → get_phi_psi_list()Termini return None — must check
RMSD Type Selection
ScenarioAtoms to useNotes
Backbone comparisonCα onlyStandard for fold similarity
Loop flexibilityAll backbone (N, Cα, C, O)Captures local deviations
Binding site comparisonAll-atom within 5 Å of ligandRequires residue selection first
Identical sequencesAll-atomOnly valid for same-length chains

Critical Parameters

ParameterValueWhen to change
NeighborSearch cutoff4.0 Å3.5 for H-bonds, 5.0 for hydrophobic
Superimposer atomsCαAll-atom only for identical sequences
fpocket -m (min alpha spheres)35 (default)Lower to 15 for small/shallow pockets
DSSP binary namemkdsspUse dssp on legacy installs
obabel -xr flagreceptor modeOmit for flexible ligand PDBQT
PPBuilder vs CaPPBuilderPPBuilderCaPPBuilder only for Cα-only traces

Common Mistakes

  • Wrong: Assuming single model in PDB → Right: Always structure[0] or iterate models → Why: NMR ensembles have many models; raw iteration hits unexpected atoms

  • Wrong: Ignoring altloc in geometry → Right: Filter atom.get_altloc() in ('', 'A') → Why: Duplicate atoms corrupt RMSD and dihedral calculations

  • Wrong: All-atom RMSD when backbone intended → Right: Restrict to Cα for fold comparison → Why: Side-chains inflate RMSD and break correspondence across non-identical sequences

  • Wrong: Unequal-length atom lists in Superimposer → Right: Match by residue number, build parallel lists of equal length → Why: set_atoms() requires strict 1-to-1 correspondence

  • Wrong: No hydrogens before PDBQT export → Right: obabel -xh then -xr -O receptor.pdbqt → Why: Crystal PDBs lack H; docking scoring needs them

  • Wrong: Including HETATM/water in backbone calculations → Right: Filter residue.id[0] == ' ' → Why: Heteroatoms and water corrupt phi/psi and backbone RMSD

  • Wrong: math.degrees() on None phi/psi → Right: Check if phi is not None and psi is not None → Why: Chain termini return None; TypeError crashes

  • Wrong: Default dssp binary name → Right: Pass dssp='mkdssp' to DSSP() → Why: Newer installs only provide mkdssp

  • Wrong: Expecting fpocket output next to input → Right: Run from target directory or move output after → Why: fpocket writes to CWD, not input file location

  • Wrong: Forgetting QUIET=True in parser → Right: PDBParser(QUIET=True) → Why: Non-fatal warnings flood stdout and obscure real errors

Response Format

  • Lead with the command or code the user needs — explain after
  • Structure as: confirm inputs → working code → key parameters explained → gotchas
  • One complete working example per task; do not show every alternative
  • Keep code comments minimal and functional
  • Target: 50-100 lines of code with brief surrounding explanation

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