Protein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures. Information may come from nucleic acid sequence homology, gene expression profiles, protein domain structures, text mining of publications, phylogenetic profiles, phenotypic profiles, and protein-protein interaction. Protein function is a broad term: the roles of proteins range from catalysis of biochemical reactions to transport to signal transduction, and a single protein may play a role in multiple processes or cellular pathways.

In the present book, eleven typical literatures about protein function prediction published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on protein function prediction. We hope this book can demonstrate advances in protein function prediction as well as give references to the researchers, students and other related people.