pmipred PMIpred Evo-MD peptide protein membrane interaction predictor curvature sensing Hilten Verwei Methorst Bernatavicius Risselada biophysics logo
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PMIpred predicts protein-membrane interactions for peptides and proteins

With increasing membrane-binding affinity, proteins can be classified as “non-binders” (stay in solution), “sensors” (only bind to curved membranes), and “binders” (bind to membranes without curvature selectivity)1. We performed MD simulations to quantify the affinity of >50,000 peptides for lipid packing defects on the surface of curved/stretched membranes and trained a neural network on these data.

You can use PMIpred to predict membrane interactions for either peptides (7-24 amino acids) or protein structures (uploading a PDB-file).

pmipred PMIpred Evo-MD peptide protein membrane interaction predictor curvature sensing Hilten Verwei Methorst Bernatavicius Risselada biophysics classification


When using PMIpred, please cite:

Van Hilten, N.; Verwei, N.; Methorst, J; Nase, C.; Bernatavicius, A.; Risselada, H.J., Bioinformatics, 2024, 40(2).