Biopython Bioinformatics
aiming-lab/AutoResearchClaw
Quick reference for Biopython work: sequence operations, SeqIO file parsing, BLAST searches, Entrez queries, phylogenetic trees and PDB structure analysis.
Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB.
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-io --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/structural-biology/structure-io .claude/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .claude/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-ioType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-io --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/structural-biology/structure-io .agents/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .agents/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-io --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/structural-biology/structure-io .cursor/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .cursor/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GPTomics/bioSkills.git --path structural-biology/structure-io--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-io --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/structural-biology/structure-io .gemini/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .gemini/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-ioInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/structural-biology/structure-io .github/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .github/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GPTomics/bioSkills bio-structural-biology-structure-io --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/structural-biology/structure-io .opencode/skills/bio-structural-biology-structure-io && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bio-structural-biology-structure-io" agent skill from https://github.com/GPTomics/bioSkills/tree/main/structural-biology/structure-io into .opencode/skills/bio-structural-biology-structure-io/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-structural-biology-structure-io", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
bio-structural-biology-structure-ioReads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB.
Bio Structural Biology Structure Io is an agent skill from GPTomics/bioSkills. Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB. Use when choosing a format (mmCIF/PDBx vs legacy PDB vs BinaryCIF) for a structure that may exceed PDB's ~62-chain / 99,999-atom limits; when residue numbers do not match the paper because of auth vs label numbering (MMCIFParser defaults authresidues=True); when metadata (resolution, method, R-free) is missing because Bio.PDB drops it and MMCIF2Dict is needed; when the deposited coordinates are the asymmetric unit and the…
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `examples/download_structure.py`, `examples/extract_chain.py` and `examples/parse_pdb.py`).
It sits in Research & Science, covering Protein structure and design and Bioinformatics. It works with Biopython. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.
Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
files.rcsb.orgAlso links to:
rcsb.orgwwpdb.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Bio Structural Biology Structure Io loads about 4k tokens when it runs. Until then it costs about 186 tokens; SKILL.md has 1,464 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 1,464 words, ~3,982 tokens.
.claude/skills/bio-structural-biology-structure-io/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Reference examples tested with: biopython 1.85+
Before using code patterns, verify installed versions match. If versions differ:
pip show <package> then help(module.function) to check signaturesIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
"Read a structure file" -> Parse a deposited coordinate file into an in-memory SMCRA tree, or fetch it from a wwPDB mirror.
Bio.PDB.MMCIFParser().get_structure('id', 'file.cif'), Bio.PDB.PDBParser(), Bio.PDB.PDBList()mmCIF (PDBx) is the canonical modern format; the legacy fixed-column PDB format is a frozen, lossy container, and a "parse everything as PDB" reflex silently truncates or fails on anything large. The PDB format was frozen in 2012 and cannot physically exceed 99,999 atoms (5-digit serial), ~62 chains (single alphanumeric chain id), or 9,999 residues per chain (wwPDB file-format documentation; the PDB archive itself is Berman et al. 2000 Nucleic Acids Res 28:235-242). Large assemblies (ribosomes, capsids, spliceosomes, most big cryo-EM structures) therefore exist ONLY as mmCIF, and converting a big mmCIF down to PDB renames multi-character chains and overflows serial numbers, silently corrupting any downstream tool that keys on chain id. mmCIF has been the wwPDB archive standard since 2014 and mandatory for crystallographic depositions since July 2019.
Two further traps compound this. First, Bio.PDB is PERMISSIVE by design: it reads malformed files, and it silently drops anisotropic B-factors (ANISOU), collapses each disordered atom to its highest-occupancy alternate, and never models most metadata (resolution, method, R-free, entity graph, assembly operators). Parse-success is not data integrity. Second, the deposited coordinates for an X-ray entry are usually the ASYMMETRIC UNIT, a crystallographic bookkeeping object that is frequently NOT the biologically functional oligomer -- so any interface, oligomeric-state, or buried-surface question must first obtain the biological assembly (Krissinel & Henrick 2007 J Mol Biol 372:774). "One chain in the file" is never evidence of a monomer.
The escape hatch for all three ceilings (assembly generation, very large structures, full mmCIF fidelity) is gemmi (Wojdyr 2022 JOSS 7:4200); Bio.PDB cannot apply the assembly operators itself. Prefer Bio.PDB for teaching, small structures, and hierarchy walks; reach for gemmi when the questions above appear.
| Format | Best when | Fails when | Hard limits |
|---|---|---|---|
mmCIF / PDBx (.cif, .cif.gz) | Any modern default; large assemblies; full metadata; auth+label numbering; ANISOU/entities | A legacy tool only reads fixed-column PDB | None |
Legacy PDB (.pdb, .ent) | Small structure feeding an old tool that demands PDB columns | Structure exceeds the format's limits (silently truncates/renames) | 99,999 atoms, ~62 chains, 9,999 resseq/chain, single-char chain id |
BinaryCIF (.bcif, .bcif.gz) | Compact binary transport at bandwidth/scale; the current binary format | An ecosystem still expects the retired MMTF | None (lossless mmCIF encoding) |
MMTF (.mmtf) | Nothing new -- RCSB stopped serving MMTF on 2 July 2024 | Any live download (the endpoint is decommissioned); treat as read-only-legacy | Retired upstream |
| Task | Tool | Why |
|---|---|---|
| Hierarchy walk, small X-ray/NMR structure, teaching | Bio.PDB | Readable SMCRA tree, pure Python, ubiquitous |
| Read metadata Bio.PDB drops (resolution, method, R-free, assembly ops) | Bio.PDB MMCIF2Dict | Raw category access without object-model loss |
| Generate the biological assembly from deposited coords | gemmi | Applies _pdbx_struct_oper_list; Bio.PDB has no operator-application code |
| Very large structure (>100k atoms), many structures, fast neighbor search | gemmi | C++ core scales; Bio.PDB's pure-Python tree is slow/memory-heavy |
| mmCIF round-trip without data loss (entities, label scheme, ANISOU) | gemmi | Full PDBx data model; writes hybrid-36 serials when >99,999 |
from Bio.PDB import PDBParser, MMCIFParser, PDBIO, MMCIFIO, PDBList, Select
from Bio.PDB.MMCIF2Dict import MMCIF2Dict
from Bio.PDB.binary_cif import BinaryCIFParserfrom Bio.PDB import MMCIFParser
# auth_residues/auth_chains default to True: numbering matches the paper/UniProt.
parser = MMCIFParser(QUIET=True)
structure = parser.get_structure('4hhb', '4hhb.cif')
# label numbering is contiguous 1..N with no insertion codes -- a DIFFERENT scheme.
label_parser = MMCIFParser(QUIET=True, auth_residues=False, auth_chains=False)
label_structure = label_parser.get_structure('4hhb', '4hhb.cif')Setting auth_residues=False renumbers to the mmCIF internal label scheme, so residue 100 in one parse is a different residue in the other. This is the single most common "my selection points at the wrong residue" bug. auth is what matches the literature and sequence databases; label is gap-free internal bookkeeping. Pick one scheme and stay in it.
from Bio.PDB import PDBParser
# QUIET=True suppresses PDBConstructionWarning (discontinuous chains, missing occupancy).
parser = PDBParser(QUIET=True)
structure = parser.get_structure('1crn', '1crn.pdb')from Bio.PDB.binary_cif import BinaryCIFParser
# .get_structure(id, source); gz is handled transparently.
parser = BinaryCIFParser()
structure = parser.get_structure('1gbt', '1gbt.bcif.gz')MMTF is intentionally absent here. RCSB retired it on 2 July 2024 and MMTFParser.get_structure_from_url targets a decommissioned service; BinaryCIF is the replacement.
from Bio.PDB.MMCIF2Dict import MMCIF2Dict
# MMCIF2Dict returns category -> list[str]; index [0] and cast yourself.
meta = MMCIF2Dict('4hhb.cif')
resolution = meta.get('_refine.ls_d_res_high', ['NA'])[0]
method = meta.get('_exptl.method', ['NA'])[0]
r_free = meta.get('_refine.ls_R_factor_R_free', ['NA'])[0]
r_work = meta.get('_refine.ls_R_factor_R_work', ['NA'])[0]The parser's thin structure.header omits resolution/R-free for many files; the dict reaches anything in the mmCIF, including assembly operators the object model never builds.
from Bio.PDB import PDBList
pdbl = PDBList()
# pdir=None writes into a two-char divided subdirectory tree (e.g. hh/4hhb.cif),
# NOT the current directory; pass pdir='.' to control the location.
path = pdbl.retrieve_pdb_file('4HHB', pdir='.', file_format='mmCif')
# file_format 'pdb' fetches legacy PDB only when the entry fits the format.
legacy_path = pdbl.retrieve_pdb_file('4HHB', pdir='.', file_format='pdb')file_format='mmCif' (that exact casing) is the current default recommendation. retrieve_pdb_file has no assembly_num parameter in current Biopython -- download the assembly directly (below).
import gzip, shutil, urllib.request
# The ASU is often not the functional oligomer; RCSB pre-applies the operators
# in the -assemblyN file, so downloading it is safer than regenerating.
pdb_id = '1abc'
url = f'https://files.rcsb.org/download/{pdb_id.upper()}-assembly1.cif.gz'
urllib.request.urlretrieve(url, f'{pdb_id}-assembly1.cif.gz')
with gzip.open(f'{pdb_id}-assembly1.cif.gz', 'rb') as fin, open(f'{pdb_id}-assembly1.cif', 'wb') as fout:
shutil.copyfileobj(fin, fout)Bio.PDB has no operator-application code, so if only the deposited ASU is on disk it cannot construct the assembly -- use the RCSB assembly file or gemmi's transform_to_assembly.
from Bio.PDB import PDBParser, MMCIFIO
parser = PDBParser(QUIET=True)
structure = parser.get_structure('1crn', '1crn.pdb')
# Writing mmCIF preserves multi-char chains and >99,999 serials; PDB cannot.
io = MMCIFIO()
io.set_structure(structure)
io.save('1crn_out.cif')from Bio.PDB import PDBParser, PDBIO, Select
class ProteinChainSelect(Select):
def __init__(self, chain_id):
self.chain_id = chain_id
def accept_chain(self, chain):
return chain.id == self.chain_id
def accept_residue(self, residue):
# id[0] is the hetflag: ' ' standard, 'W' water, 'H_XXX' hetero.
return residue.id[0] == ' '
parser = PDBParser(QUIET=True)
structure = parser.get_structure('1crn', '1crn.pdb')
io = PDBIO()
io.set_structure(structure)
io.save('chain_A_protein.pdb', ProteinChainSelect('A'))Override any of accept_model, accept_chain, accept_residue, accept_atom to return truthy to keep. Writing a large mmCIF back out as PDB through PDBIO is where multi-character chains and serial overflow silently corrupt the output.
from Bio.PDB import PDBParser
import warnings
# QUIET=True is the reflex, but it hides 'chain is discontinuous' -- the warning
# that flags a numbering gap or a merge the parser should not have made.
parser = PDBParser(QUIET=False)
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter('always')
structure = parser.get_structure('unknown', 'unknown.pdb')
for w in caught:
print(w.message)| Symptom | Cause | Fix |
|---|---|---|
| Residue numbers do not match the paper / a UniProt mapping | Parsed with auth_residues=False, so numbering is the label scheme | Use the default auth_residues=True; only switch to label for gap-free internal indexing, never mix schemes |
resolution/R-free is None from structure.header | Bio.PDB's header dict is thin and omits refinement metadata | Read _refine.ls_d_res_high, _refine.ls_R_factor_R_free, _exptl.method via MMCIF2Dict |
TypeError: retrieve_pdb_file() got an unexpected keyword 'assembly_num' | Current Biopython PDBList has no assembly_num parameter | Download ...-assembly1.cif.gz from files.rcsb.org directly (or use gemmi) |
| Downloaded file is not in the current directory | pdir=None writes a two-char divided subdirectory tree (hh/4hhb.cif) | Pass an explicit pdir='.' (or the target dir) to retrieve_pdb_file |
| MMTF download 404s / connection fails | RCSB retired MMTF on 2 July 2024; the endpoint is gone | Use BinaryCIF (.bcif) or mmCIF; treat MMTF files as read-only-legacy |
| Chains renamed and atom serials wrong after PDB output | A large mmCIF exceeded PDB's ~62-chain / 99,999-atom limits on write | Stay in mmCIF (MMCIFIO), or use gemmi's hybrid-36 writer |
| Analyzing a "monomer" that is really half a dimer | Computed on the deposited ASU, not the biological assembly | Fetch the -assembly1 file (or generate with gemmi) before any interface/oligomer analysis |
| Download URL 404s for a newly deposited entry | The 4-char id space is being exhausted (~2028) and RCSB is phasing in extended 12-char ids (pdb_00006uv8) | Use the full extended id in the files.rcsb.org path; a hard-coded 4-char assumption breaks once extended ids arrive |
| Anisotropic B-factors (ANISOU) lost after a Bio.PDB round-trip | ANISOU is parsed but not reliably written back | Preserve the original file, or round-trip through gemmi when ANISOU matters |
| Distances/clashes look wrong at a partially disordered site | A disordered atom silently forwards to its highest-occupancy altloc | Enumerate altlocs with atom.disordered_get_list() and set an explicit altloc policy (see structure-navigation) |
KeyError fetching a residue by integer, e.g. chain[100] | Residue id is the tuple (hetflag, resseq, icode); insertion codes and hetero break the bare-int path | Key on the full 3-tuple, e.g. chain[(' ', 100, ' ')] |
BinaryCIFParser import fails from Bio.PDB | It lives in the submodule Bio.PDB.binary_cif, not the top-level package | from Bio.PDB.binary_cif import BinaryCIFParser |
| Silent wrong results on a malformed file that "parsed fine" | Bio.PDB is permissive; parse-success is not data integrity | Parse with QUIET=False and inspect PDBConstructionWarnings for unfamiliar files |
© GPTomics, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in structural-biology/structure-io of GPTomics/bioSkills.
Open the folder on GitHubat commit d91ed3d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.
Bio Structural Biology Structure Io next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bio Structural Biology Structure Io this skillGPTomics/bioSkills | 1.2k | 1 repos | ~4k | Automated safety check: Pass | MIT | |
| Biopython Bioinformaticsaiming-lab/AutoResearchClaw | 15k | — | ~810 | Automated safety check: Pass | MIT | |
| Ggetdavila7/claude-code-templates | 33k | 10 repos | ~6.3k | Automated safety check: Pass | MIT | |
| Bio Pdb Geometric AnalysisFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~3.2k | Automated safety check: Pass | None | |
| Bio Pdb Structure IoFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bio Pdb Structure ModificationFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.8k | Automated safety check: Pass | None |
aiming-lab/AutoResearchClaw
Quick reference for Biopython work: sequence operations, SeqIO file parsing, BLAST searches, Entrez queries, phylogenetic trees and PDB structure analysis.
davila7/claude-code-templates
CLI/Python toolkit for rapid bioinformatics queries. An agent skill from davila7/claude-code-templates.
FreedomIntelligence/OpenClaw-Medical-Skills
Perform geometric calculations on protein structures using Biopython Bio.PDB.
FreedomIntelligence/OpenClaw-Medical-Skills
Parse and write protein structure files using Biopython Bio.PDB.
FreedomIntelligence/OpenClaw-Medical-Skills
Modify protein structures using Biopython Bio.PDB. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.
FreedomIntelligence/OpenClaw-Medical-Skills
Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model.
GPTomics/bioSkills
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO.
GPTomics/bioSkills
Installs the bioSkills collection of 425 bioinformatics skills in one step, or only chosen categories, so sequencing, RNA-seq, single-cell and variant tasks get specialized help.
GPTomics/bioSkills
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO.
GPTomics/bioSkills
Soft- or hard-clips PCR primer footprints from aligned amplicon BAMs so primer bases stop masquerading as confirmed reference sequence.
GPTomics/bioSkills
Filters BAM alignments by FLAG bits, mapping quality and regions with samtools view or pysam, with recipes for common keep and drop cases.
GPTomics/bioSkills
Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam.
Works with
Categories
Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB. Bio Structural Biology Structure Io is an agent skill from GPTomics/bioSkills.PDB.
Bio Structural Biology Structure Io fits situations like: choosing a format (mmCIF/PDBx vs legacy PDB vs BinaryCIF) for a structure that may exceed PDBs ~62-chain / 99; 999-atom limits; residue numbers do not match the paper because of auth vs label numbering (MMCIFParser defaults authresidues=True); metadata (resolution.
Run `npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a claude-code`. Or copy the skill folder (structural-biology/structure-io in GPTomics/bioSkills) into .claude/skills/bio-structural-biology-structure-io in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a codex`. Or copy the skill folder (structural-biology/structure-io in GPTomics/bioSkills) into .agents/skills/bio-structural-biology-structure-io in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GPTomics/bioSkills --skill bio-structural-biology-structure-io -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-structural-biology-structure-io, .gemini/skills/bio-structural-biology-structure-io, .github/skills/bio-structural-biology-structure-io and .opencode/skills/bio-structural-biology-structure-io in your project.
Going by SKILL.md and its folder, Bio Structural Biology Structure Io needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: files.rcsb.org; the agent is likely to contact it when it follows the instructions. As links in the text: rcsb.org and wwpdb.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Bio Structural Biology Structure Io is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Bio Structural Biology Structure Io: Biopython Bioinformatics (aiming-lab/AutoResearchClaw, 15k stars), Gget (davila7/claude-code-templates, 33k stars), Bio Pdb Geometric Analysis (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Bio Pdb Structure Io (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,218 GitHub stars. The repository holds 559 skills in this directory. The repository was last updated on August 15, 2026.
Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.