By Duojiao Wu M.D., Ph.D., Haihao Li (auth.), Xiangdong Wang (eds.)
“Bioinformatics of Human Proteomics” discusses the improvement of tools, concepts and functions within the box of protein bioinformatics, a huge course in bioinformatics. It collects contributions from professional researchers with the intention to offer a realistic advisor to this complicated box of analysis. The ebook covers the protein interplay community, drug discovery and improvement, the connection among translational medication and bioinformatics, and advances in proteomic tools, whereas additionally demonstrating vital bioinformatics instruments and techniques to be had at the present time for protein research, interpretation and predication. it's meant for specialists or senior researchers within the fields of medical research-related biostatistics, bioinformatics, computational biology, drugs, statistics, method biology, molecular diagnostics, biomarkers, or drug discovery and improvement. Dr.Xiangdong Wang works as a uncommon professor of respiration medication at Fudan college, Shanghai, China. He serves as Director of Biomedical study heart, Fudan college Zhongshan health facility and adjunct professor of medical Bioinformatics at Lund college, Sweden. His major study is concentrated at the position of scientific bioinformatics within the improvement of disease-specific biomarkers and dynamic community biomarkers, the molecular mechanism of organ disorder and strength therapies.
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Extra resources for Bioinformatics of Human Proteomics
2012;40(Database issue):D857–61. MacBeath G. Protein microarrays and proteomics. Nat Genet. 2002;32(Suppl):526–32. MacCoss MJ, Wu CC, Yates 3rd JR. Probability-based validation of protein identifications using a modified SEQUEST algorithm. Anal Chem. 2002;74(21):5593–9. Mirgorodskaya OA, Korner R, Kozmin YP, Roepstorff P. Absolute quantitation of proteins by acid hydrolysis combined with amino acid detection by mass spectrometry. Methods Mol Biol. 2012;828:115–20. Mueller CL, Jaehning JA. Ctr9, Rtf1, and Leo1 are components of the Paf1/RNA polymerase II complex.
Dr. Li studies on protein interaction network using proteomics approach. He has mapped a dynamic antiviral innate immunity protein interaction network and currently is working on virus-host protein interaction network. By examining the protein network, he is investigating the signaling mechanisms controlling innate antiviral immunity and new drug targets for host defense to viral infection. He published his research on several prestigious journals such as Nature, Immunity, and Molecular Cell. Chapter 3 Protein Function Microarrays: Design, Use and Bioinformatic Analysis in Cancer Biomarker Discovery and Quantitation Jessica Duarte, Jean-Michel Serufuri, Nicola Mulder, and Jonathan Blackburn Abstract Protein microarrays have many potential applications in the systematic, quantitative analysis of protein function, including in biomarker discovery applications.
2006; Ho et al. 2002), Drosophila melanogaster (Guruharsha et al. 2011), and HIV–host interactome (Jager et al. 2012). In vertebrate, this approach has so far been used to define proteomic subspaces or specific signal pathways: antiviral innate immunity pathway (Li et al. 2011), autophagy pathway (Behrends et al. 2010), deubiquitinase interactome (Sowa et al. 2009), endoplasmic reticulum-associated protein degradation network (ERAD) (Christianson et al. 2012), TNF pathway (Bouwmeester et al. 2004), proteasome interaction network (Guerrero et al.