Bioinformatics and Drug Discovery by Kubilay Demir, Michael Boutros (auth.), Richard S. Larson

By Kubilay Demir, Michael Boutros (auth.), Richard S. Larson (eds.)

Recent advances in drug discovery were swift. the second one version of Bioinformatics and Drug Discovery hasbeen thoroughly up-to-date to incorporate issues that diversity from new applied sciences in aim id, genomic research, cheminformatics, protein research, and community or pathway research. every one bankruptcy presents a longer advent that describes the idea and alertness of the expertise. within the moment a part of each one bankruptcy, specific methods with regards to using those applied sciences and software program were included. Written within the hugely profitable Methods in Molecular Biology™ sequence layout, the chapters comprise the type of specified description and implementation suggestion that's the most important for purchasing optimum ends up in the laboratory.

Thorough and intuitive, Bioinformatics and Drug Discovery, moment version seeks to help scientists within the additional examine of the quickly increasing box of drug discovery.

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1. General Analysis of Exon Expression Datasets The most direct way to evaluate alternative exon statistics computed by AltAnalyze is to view significantly up- and down-regulated probesets in DomainGraph. After importing the AltAnalyze statistics file into DomainGraph, the user is automatically provided with a table view containing the AltAnalyze results with information on gene symbols, Reactome and WikiPathway pathway occurrences, miRNA-binding site disruption, and alternative splicing 40 D. Emig et al.

Dove A (1999) Proteomics: translating genomics into products? Nat Biotechnol 17:233–236 5. Kitano H (2002) Computational systems biology. Nature 420:206–210 6. Araujo RP, Liotta LA, Petricoin EF (2007) Proteins, drug targets and the mechanisms they control: the simple truth about complex networks. Nat Rev Drug Discov 6:871–880 7. Ryan TE, Patterson SD (2002) Proteomics: drug target discovery on an industrial scale. Trends Biotechnol 20:S45–51 8. Luscombe NM, Greenbaum D, Gerstein M (2001) What is bioinformatics?

Tools of this kind are also useful for finding synonyms, as the results obtained by functional genomics methods may also use different nomenclature from the computational tools used later in the analysis process. Moreover, such tools can also help when it comes to hypothetical proteins 2 Using Functional Genomics to Identify Drug Targets… 27 that sometimes form a part of the experimental dataset, as well as to resolve dilemmas in situations when, for example, more than one target protein can be the result of the spectrometric analysis.

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