This lecture continues the 'Protein Prediction' lecture. Topics will include (but not be limited to): * Predicting protein function using sequence: sequence alignments, multiple sequence alignments, motifs, domain assignment, annotation transfer by homology, ab initio predictions. * Predicting protein function using structure: structural alignments, structural motifs, annotation transfer via structure similarity. * From structure prediction to function prediction: comparative modeling; prediction of: secondary structure, hydrophilicity profiles, solvent accessibility, transmembrane segments, disordered regions, contact maps, functional residues; template free modeling. * Machine learning.