Protein Function Prediction: Methods and Protocols

by Daisuke Kihara (Editor)

Overview

This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls.

Thorough and cutting-edge, Protein Function Prediction: Methods and Prools is a valuable and practical guide for using bioinformatics tools for investigating protein function

Product Details

ISBN-13:	9781493983681
Publisher:	Springer New York
Publication date:	07/17/2018
Series:	Methods in Molecular Biology , #1611
Edition description:	Softcover reprint of the original 1st ed. 2017
Pages:	239
Product dimensions:	7.01(w) x 10.00(h) x (d)

Table of Contents

Using PFP and ESG Protein Function Prediction Web Servers.- GHOSTX: A Fast Sequence Homology Search Tool for Functional Annotation of Metagenomic Data.- From Gene Annotation to Function Prediction for Metagenomics.- An Agile Functional Analysis of Metagenomic Data using SUPER-FOCUS.- MPFit: Computational Tool for Predicting Moonlighting Proteins.- Predicting Secretory Proteins with SignalP.- The ProFunc Function Prediction Server.- G-LoSA for Prediction of Protein-Ligand Binding Sites and Structures.- Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning.- WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and Visualization.- Enzyme Annotation and Metabolic Reconstruction Using KEGG.- Ortholog Identification and Comparative Analysis of Microbial Genomes using MBGD and RECOG.- Exploring Protein Function Using the Saccharomyces Genome Database.- Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates using MouseNet Server.- The FANTOM5 Computation Ecosystem: Genomic Information Hub for Promoters and Active Enhancers.- Multi-Algorithm Particle Simulations with Spatiocyte.