
Bio Restriction Sites
- 3 installs
- 1.1k repo stars
- Updated July 25, 2026
- gptomics/bioskills
Find restriction enzyme cut sites in a DNA sequence with single enzymes or batches using Biopython Bio.Restriction.
About
Finds restriction enzyme cut sites in DNA sequences using Biopython's Bio.Restriction in Python. Developers use it to search with single enzymes, enzyme batches, or commercial sets and get cut positions for linear or circular DNA.
- Search single enzymes, batches, or commercial sets
- Cut positions for linear or circular DNA
Bio Restriction Sites by the numbers
- 3 all-time installs (skills.sh)
- Ranked #1,661 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 3 |
|---|---|
| repo stars | ★ 1.1k |
| Last updated | July 25, 2026 |
| Repository | gptomics/bioskills ↗ |
What it does
Find restriction enzyme cut sites in a DNA sequence with single enzymes or batches using Biopython Bio.Restriction.
Files
Finding Restriction Sites
Core Pattern
from Bio import SeqIO
from Bio.Restriction import EcoRI, BamHI, HindIII, RestrictionBatch, Analysis
record = SeqIO.read('sequence.fasta', 'fasta')
seq = record.seq
# Single enzyme
sites = EcoRI.search(seq) # Returns list of cut positionsSearch with Single Enzyme
from Bio.Restriction import EcoRI
sites = EcoRI.search(seq)
print(f'EcoRI cuts at positions: {sites}')
print(f'Number of sites: {len(sites)}')
# Check if enzyme cuts
if EcoRI.search(seq):
print('EcoRI cuts this sequence')
else:
print('EcoRI does not cut')Search with Multiple Enzymes
from Bio.Restriction import RestrictionBatch, EcoRI, BamHI, HindIII, XhoI
batch = RestrictionBatch([EcoRI, BamHI, HindIII, XhoI])
# Method 1: batch.search()
results = batch.search(seq)
for enzyme, sites in results.items():
if sites:
print(f'{enzyme}: {sites}')
# Method 2: Analysis class
analysis = Analysis(batch, seq)
results = analysis.full()Use Built-in Enzyme Collections
from Bio.Restriction import AllEnzymes, CommOnly
# All known enzymes (800+)
analysis = Analysis(AllEnzymes, seq)
# Commercially available only
analysis = Analysis(CommOnly, seq)
# Get results
results = analysis.full()
for enzyme, sites in results.items():
if sites:
print(f'{enzyme}: {sites}')Linear vs Circular DNA
from Bio.Restriction import EcoRI, Analysis, RestrictionBatch
# Linear DNA (default)
sites_linear = EcoRI.search(seq, linear=True)
# Circular DNA (plasmid)
sites_circular = EcoRI.search(seq, linear=False)
# With Analysis class
batch = RestrictionBatch([EcoRI, BamHI])
analysis = Analysis(batch, seq, linear=False) # CircularFilter Results
from Bio.Restriction import Analysis, CommOnly
analysis = Analysis(CommOnly, seq)
# Only enzymes that cut
analysis.print_that_cut()
# Only enzymes that don't cut (non-cutters)
analysis.print_that_dont_cut()
# Enzymes that cut once
analysis.print_once_cutters()
# Enzymes that cut twice
analysis.print_twice_cutters()
# Get as dictionary
cutters = analysis.only_cut()
non_cutters = analysis.only_dont_cut()
once_cutters = analysis.once_cutters()
twice_cutters = analysis.twice_cutters()Get Enzyme Information
from Bio.Restriction import EcoRI
# Recognition sequence
print(f'Site: {EcoRI.site}') # GAATTC
print(f'Esite: {EcoRI.esite}') # Recognition with cut position
# Cut characteristics
print(f'Overhang: {EcoRI.ovhg}') # 4 (positive = 5' overhang)
print(f'Blunt: {EcoRI.is_blunt()}') # False
print(f'5\' overhang: {EcoRI.is_5overhang()}') # True
print(f'3\' overhang: {EcoRI.is_3overhang()}') # False
# Overhang sequence
print(f'Overhang seq: {EcoRI.ovhgseq}') # AATT
# Isoschizomers (same recognition, different cut)
print(f'Isoschizomers: {EcoRI.isoschizomers()}')
# Compatible enzymes (same overhang)
print(f'Compatible: {EcoRI.compatible_end()}')Common Cloning Enzymes
from Bio.Restriction import (
EcoRI, BamHI, HindIII, XhoI, SalI, NotI, XbaI, SpeI,
NcoI, NdeI, BglII, PstI, KpnI, SacI, EcoRV, SmaI
)
common_enzymes = RestrictionBatch([
EcoRI, BamHI, HindIII, XhoI, SalI, NotI, XbaI,
NcoI, NdeI, BglII, PstI, KpnI, SacI, EcoRV, SmaI
])
analysis = Analysis(common_enzymes, seq)
results = analysis.full()Access Enzymes by Name
from Bio.Restriction import AllEnzymes
# Get enzyme by string name
ecori = AllEnzymes.get('EcoRI')
sites = ecori.search(seq)
# Check if enzyme exists
if 'EcoRI' in AllEnzymes:
print('EcoRI is in database')Search Multiple Sequences
from Bio import SeqIO
from Bio.Restriction import RestrictionBatch, EcoRI, BamHI
batch = RestrictionBatch([EcoRI, BamHI])
for record in SeqIO.parse('sequences.fasta', 'fasta'):
analysis = Analysis(batch, record.seq)
results = analysis.full()
print(f'{record.id}:')
for enzyme, sites in results.items():
if sites:
print(f' {enzyme}: {sites}')Notes
- Positions are 1-based - first base is position 1
- Cut position - where enzyme cuts (between bases)
- Linear default - set
linear=Falsefor circular DNA - Case insensitive - recognition matches regardless of case
- Ambiguous bases - some enzymes recognize N, R, Y, etc.
Related Skills
- restriction-mapping - Visualize cut positions on sequence
- enzyme-selection - Choose enzymes by criteria
- fragment-analysis - Analyze resulting fragments
Related skills
Data Science & MLanalytics