Score CDR mutations before the expression run.
Antibody optimization campaigns burn time and budget on expression and SPR screening of variants that are predictably worse. ProtSynq ranks CDR substitutions by predicted binding ΔΔG so your expression list starts with the variants most likely to improve.
The antibody optimization workflow with ProtSynq
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Upload the antibody–antigen complex PDB. ProtSynq identifies the CDR loops automatically and maps the binding interface — each position's contact network, buried surface area contribution, and role in paratope geometry.
Binding ΔΔG scan
ProtSynq scores all single-residue substitutions across CDR regions, returning a per-position binding ΔΔG heatmap. Positions that tolerate substitution without binding loss are flagged; positions critical to the binding geometry are marked as high-risk.
Affinity + stability shortlist
Final output is a ranked list of CDR variants with predicted ΔΔG binding (affinity), predicted ΔΔG stability (Fv domain stability), and confidence bands. Select based on your Pareto tradeoff: maximum affinity gain, or balanced affinity + stability improvement.
Performance on antibody interface predictions
Evaluated against published alanine scanning datasets and deep mutational scanning studies of therapeutic antibody interfaces. Internal validation only — not published.
Shorten your next optimization round.
Upload the antibody–antigen complex and get a ranked CDR substitution list. Research tier: ten structure jobs per month. Institutional tier: unlimited.