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AbMutaGen

Explore Protein Mutations. Prioritize What to Investigate.

Explore amino-acid substitutions, compare transparent sequence-based scores and shortlist candidate variants for further evaluation. It ranks candidates and does not guarantee improved binding.

Parent sequence
  • Q3E
  • Q3N
  • Q3K

Illustrative example sequence. Variants are candidates to evaluate, not predicted improvements.

What it is

A bioinformatics platform for antibody sequence characterization and mutation analysis. It identifies substitutions, insertions and deletions across antibody regions, including CDRs and framework regions, and maps them for comparison.

Supporting antibody engineering, optimization, therapeutic development and drug discovery.

  1. A · Sequence input

    Start with your protein sequence

    Drop a FASTA file or paste a raw amino-acid sequence. A multi-chain FASTA makes each chain selectable.

    • FASTA or raw sequence
    • Multi-chain files supported
    Start with your protein sequence
  2. A · Sequence input

    Choose how to explore it

    Say what the sequence is, pick a mutation set and a scoring model, and set a length limit.

    • Type: VH, VL, full antibody, antigen, enzyme or general
    • Set: all 20, conservative, hydrophobic, charged, aromatic or top BLOSUM62
    • Model: BLOSUM62, ΔΔG proxy or combined
    Choose how to explore it
  3. B · Mutation design

    See where to look

    Each residue is coloured by how many variants it has, with predicted CDR loops outlined. Click to select a position, or shift-click for a range.

    • Variant density per residue
    • Predicted CDR loops
    • Single and range selection

    CDR regions are estimated with a sequence heuristic, not IMGT or Kabat numbering.

    See where to look
  4. B · Mutation design

    Narrow it down with a position filter

    Specify exact substitutions per position, one rule per line. Positions you do not list keep all their mutations.

    • Rule format: position: AA,AA,AA
    • Applied or cleared in one step
    Narrow it down with a position filter
  5. C · Analysis

    Compare scores at a glance

    Average BLOSUM62 and ΔΔG proxy by residue type, plus the top CDR mutations ranked by combined score.

    • Summary counts for the run
    • Scores by residue type
    • Top-ranked CDR mutations

    Heuristic scores. They rank candidates and do not establish improved binding or stability.

    Compare scores at a glance
  6. C · Analysis

    Inspect every candidate

    A full mutation table you can search and filter by position, type and region, with a CSV download.

    • Position, region, original and mutant residue
    • Conservative or radical
    • BLOSUM62, ΔΔG proxy and property change
    Inspect every candidate
  7. C · Analysis

    Read the mutant sequences

    Full sequences with the substitution highlighted, filterable and exportable as CSV or FASTA.

    • Substitution highlighted in context
    • Sequences CSV and FASTA export
    Read the mutant sequences
  8. C · Analysis

    Check charge along the sequence

    Per-residue charge at pH 7.4 along the sequence, and a histogram with a kernel density estimate. Both plots can be downloaded.

    • Charge fluctuation plot
    • Histogram and KDE of residue charges
    Check charge along the sequence
D · Next step

A shortlist to investigate further

Candidates, scores, sequences and charge plots can be exported as CSV, FASTA and SVG. Scores rank candidates for further computational or experimental evaluation; they do not establish improved binding, stability or activity.

Interactive example

Explore a mutation

Pick a position, then a replacement. Every value is computed live by the same scoring rules.

1 · Choose a position
2 · Replace D (Aspartic acid) at position 3 with
Variant · D3G
BLOSUM62
−1
Substitution-matrix similarity
ΔΔG proxy
0.00
Positive = predicted destabilising
Combined
−0.60
0.6 × BLOSUM62 − 0.5 × ΔΔG proxy
Type
radical
Property change
negative → polar
Δ hydrophobicity
+3.10
Δ volume (ų)
−51.0

Illustrative sequence example. Predicted scores and sequence descriptors do not establish biological benefit.

Turn Sequence Variation into a Research Shortlist

Explore candidate substitutions, compare sequence-level descriptors and organize promising variants for further investigation.