How LambdaPP works
LambdaPP pipeline: Starting with an amino acid sequence, LambdaPP orchestrates the prediction of protein structure using AlphaFold DB ; (2) per-protein features: Gene Ontology (GO) annotations using goPredSim, subcellular location using LA; (3) per-residue features: binding residues using bindEmbed21DL, conservation using ProtT5cons, disorder using SETH, secondary structure using ProtT5-sec, helical and barrel transmembrane (TM) regions using TMbed; and variant effect scores using VESPAl.
Per Residue
Binding, Conservation, Disorder, Secondary Structure, Transmembrane
Sample Prediction
Single Amino Acid Variant Effect
Sample Prediction
Structure
Protein 3D Structure
Sample Prediction