Multi-algorithm particle simulations with spatiocyte / Satya N.V. Arjunan and Koichi Takahashi. GHOSTX : a fast sequence homology search tool for functional annotation of metagenomic data / Shuji Suzuki, Takashi Ishida, Masahito Ohue, Masanori Kakuta, and Yutaka Akiyama -- From gene annotation to function prediction for metagenomics / Fatemeh Sharifi and Yuzhen Ye -- Agile functional analysis of metagenomic data using SUPER-FOCUS / Genivaldo Gueiros Z. Silva, Fabyano A.C. Lopes, and Robert A. Edwards -- MPFit : computational tool for predicting moonlighting proteins / Ishita Khan, Joshua McGraw, and Daisuke Kihara -- Predicting secretory proteins with SignalP / Henrik Nielsen -- ProFunc function prediction server / Roman A. Laskowski -- G-LoSA for prediction of protein-ligand binding sites and structures / Hui Sun Lee and Wonpil Im -- Local alignment of ligand binding sites in Proteins for polypharmacology and drug repositioning / Michal Brylinski -- WATsite2.0 with PyMOL plugin : hydration site prediction and visualization / Ying Yang, Bingjie Hu, and Markus A. Lill -- Enzyme annotation and metabolic reconstruction using KEGG / Minoru Kanehisa -- Ortholog identification and comparative analysis of microbial genomes using MBGD and RECOG / Ikuo Uchiyama -- Exploring protein function using the Saccharomyces genome database / Edith D. Wong -- Network-based gene function prediction in mouse and other model vertebrates using MouseNet server / Eiru Kim and Insuk Lee -- FANTOM5 computation ecosystem : genomic information hub for promoters and active enhancers / Imad Abugessaisa, Shuhei Noguchi, Piero Carninci, and Takeya Kasukawa -- Multi-algorithm particle simulations with spatiocyte / Satya N.V. Arjunan and Koichi Takahashi.
Summary:
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 Protocols is a valuable and practical guide for using bioinformatics tools for investigating protein function</p>.
Series:
Methods in molecular biology, 1064-3745 ; 1611 Springer protocols, 1949-2448
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.