bio-transcription-translation

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Convert between DNA, RNA, and protein sequences using Biopython.

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About this skill

The largest open-source medical AI skills library for OpenClaw🦞.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-transcription-translation/SKILL.md and read by Ahel’s review.


name: bio-transcription-translation description: Transcribe DNA to RNA and translate to protein using Biopython. Use when converting between DNA, RNA, and protein sequences, finding ORFs, or using alternative codon tables. tool_type: python primary_tool: Bio.Seq measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

Transcription and Translation

Convert between DNA, RNA, and protein sequences using Biopython.

Required Import

from Bio.Seq import Seq

Core Methods

Transcription (DNA to RNA)

dna = Seq('ATGCGATCGATCG')
rna = dna.transcribe()  # Returns Seq('AUGCGAUCGAUCG')

Transcription replaces T with U. Works on coding strand (5' to 3').

Back Transcription (RNA to DNA)

rna = Seq('AUGCGAUCGAUCG')
dna = rna.back_transcribe()  # Returns Seq('ATGCGATCGATCG')

Translation (RNA/DNA to Protein)

# From coding DNA (includes ATG start)
coding_dna = Seq('ATGTTTGGT')
protein = coding_dna.translate()  # Returns Seq('MFG')

# From RNA
rna = Seq('AUGUUUGGU')
protein = rna.translate()  # Returns Seq('MFG')

Translation Options

Stop at First Stop Codon

seq = Seq('ATGTTTGGTTAAGGG')
protein = seq.translate(to_stop=True)  # Stops at TAA, excludes stop

Include Stop Codon Symbol

seq = Seq('ATGTTTGGTTAA')
protein = seq.translate()  # Returns Seq('MFG*')

Alternative Codon Tables

Biopython supports NCBI codon tables. Common tables:

IDNameUse Case
1StandardDefault, most organisms
2Vertebrate MitochondrialHuman/vertebrate mitochondria
4Mold MitochondrialFungi, protozoa mitochondria
5Invertebrate MitochondrialInsects, worms mitochondria
6Ciliate NuclearTetrahymena, Paramecium
11Bacterial/ArchaealProkaryotes, plastids
# Bacterial translation
seq = Seq('ATGTTTGGT')
protein = seq.translate(table=11)

# Mitochondrial translation
protein = seq.translate(table=2)

# By name
protein = seq.translate(table='Vertebrate Mitochondrial')

CDS Translation (Complete Coding Sequence)

For validated coding sequences with proper start/stop:

cds = Seq('ATGTTTGGTTAA')  # Must start with start codon, end with stop
protein = cds.translate(cds=True)  # Validates and removes stop

The cds=True option:

  • Validates start codon (ATG or alternative)
  • Validates stop codon at end
  • Removes stop codon from result
  • Raises error if invalid CDS

Code Patterns

Basic Transcription and Translation Pipeline

dna = Seq('ATGTTTGGTCATTAA')
rna = dna.transcribe()
protein = rna.translate()
print(f'DNA: {dna}')
print(f'RNA: {rna}')
print(f'Protein: {protein}')

Translate All Six Reading Frames

def six_frame_translation(seq):
    frames = []
    for strand, s in [('+', seq), ('-', seq.reverse_complement())]:
        for frame in range(3):
            length = 3 * ((len(s) - frame) // 3)
            fragment = s[frame:frame + length]
            frames.append((strand, frame, fragment.translate()))
    return frames

seq = Seq('ATGCGATCGATCGATCGATCG')
for strand, frame, protein in six_frame_translation(seq):
    print(f'{strand}{frame}: {protein}')

Find All ORFs (Start to Stop)

def find_orfs(seq, min_length=30):
    orfs = []
    for strand, s in [('+', seq), ('-', seq.reverse_complement())]:
        for frame in range(3):
            trans = s[frame:].translate()
            aa_start = 0
            while True:
                start = trans.find('M', aa_start)
                if start == -1:
                    break
                stop = trans.find('*', start)
                if stop == -1:
                    stop = len(trans)
                orf = trans[start:stop]
                if len(orf) * 3 >= min_length:
                    orfs.append((strand, frame, start * 3 + frame, str(orf)))
                aa_start = start + 1
    return orfs

seq = Seq('ATGCGATCGATCGATCGATCGTAA')
for strand, frame, pos, orf in find_orfs(seq, min_length=3):
    print(f'{strand} frame {frame} pos {pos}: {orf}')

Translate with Quality Check

def translate_cds_safe(seq):
    try:
        return seq.translate(cds=True)
    except Exception as e:
        return seq.translate(to_stop=True)  # Fallback

Get Codon Table Info

from Bio.Data import CodonTable

table = CodonTable.unambiguous_dna_by_id[1]
print(f'Start codons: {table.start_codons}')
print(f'Stop codons: {table.stop_codons}')

Common Errors

ErrorCauseSolution
TranslationError: First codon is not a start codonUsed cds=True without valid startRemove cds=True or fix sequence
TranslationError: Final codon is not a stop codonUsed cds=True without stop codonRemove cds=True or add stop codon
TranslationError: Sequence length not multiple of 3Partial codons at endTrim sequence to multiple of 3
Unexpected amino acidsWrong codon tableSpecify correct table for organism

Decision Tree

Need to convert sequence?
β”œβ”€β”€ DNA to RNA?
β”‚   └── Use seq.transcribe()
β”œβ”€β”€ RNA to DNA?
β”‚   └── Use seq.back_transcribe()
β”œβ”€β”€ DNA/RNA to protein?
β”‚   β”œβ”€β”€ Complete CDS with start/stop?
β”‚   β”‚   └── Use translate(cds=True)
β”‚   β”œβ”€β”€ Stop at first stop codon?
β”‚   β”‚   └── Use translate(to_stop=True)
β”‚   β”œβ”€β”€ Non-standard organism?
β”‚   β”‚   └── Use translate(table=N)
β”‚   └── Get all including stop symbol?
β”‚       └── Use translate()
└── Find all ORFs?
    └── Translate all six frames, search for M...*

Related Skills

  • seq-objects - Create Seq objects for translation
  • reverse-complement - Translate both strands (six-frame translation)
  • codon-usage - Analyze codon bias in coding sequences
  • sequence-io/read-sequences - Parse GenBank files with CDS features
  • database-access/entrez-fetch - Fetch CDS sequences from NCBI for translation

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026

Ahel review

  • K1binfo
    installs-packages (in usage-guide.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
bio-transcription-translation
Source
github.com/freedomintelligence/openclaw-medical-skills