Protein Function Prediction for Omics Era

Chapter 1 Computational Protein Function Prediction: Framework and Challenges

Chapter 2 Enhanced Sequence-Based Function Prediction Methods and Application to Functional Similarity Networks

Chapter 3 Gene Cluster Prediction and Its Application to Genome Annotation

Chapter 4 Functional Inference in Microbial Genomics Based on Large-Scale Comparative Analysis

Chapter 5 Predicting Protein Functional Sites with Phylogenetic Motifs: Past, Present and Beyond

Chapter 6 Exploiting Protein Structures to Predict Protein Functions

Chapter 7 Sequence Order Independent Comparison of Protein Global Backbone Structures and Local Binding Surfaces for Evolutionary and Functional Inference

Chapter 8 Protein Binding Ligand Prediction Using Moments-Based Methods

Chapter 9 Computational Methods for Predicting DNA-Binding Sites at a Genomic Scale

Chapter 10 Electrostatic Properties for Protein Functional Site Prediction

Chapter 11 Function Prediction of Genes: From Molecular Function to Cellular Function

Chapter 12 Predicting Gene Function Using Omics Data: From Data Preparation to Data Integration

Chapter 13 Protein Function Prediction Using Protein–Protein Interaction Networks

Chapter 14 KEGG and GenomeNet Resources for Predicting Protein Function from Omics Data Including KEGG PLANT Resource

Chapter 15 Towards Elucidation of the Escherichia coli K-12 Unknowneome