{"product_id":"computational-approaches-in-cheminformatics-and-bioinformatics-isbn-9780470384411","title":"Computational Approaches in Cheminformatics and Bioinformatics","description":"\u003cp\u003eA breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future\u003c\/p\u003e \u003cp\u003eBridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future.\u003c\/p\u003e \u003cp\u003eUsing algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks.\u003c\/p\u003e \u003cp\u003eComputational Approaches in Cheminformatics and Bioinformatics covers:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eData sources available for modelling and prediction purposes\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDevelopments of conventional Quantitative Structure-Activity Relationships (QSAR)\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eComputational tools for manipulating chemical and biological data\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNovel ways of probing the interactions between small molecules and proteins\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAlso including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.\u003c\/p\u003e \u003cp\u003eContributors vii\u003c\/p\u003e \u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e1 Bridging Chemical and Biological Information: Public Knowledge Spaces 1\u003cbr\u003e \u003ci\u003ePaul A. Thiessen, Wolf-D. Ihlenfeldt, Evan E. Bolton, and Stephen H. Bryant\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Bridging Chemical and Biological Data: Implications for Pharmaceutical Drug Discovery 25\u003cbr\u003e \u003ci\u003eJeremy L. Jenkins, Josef Scheiber, Dmitri Mikhailov, Andreas Bender, Ansgar Schuffenhauer, Ben Cornett, Vivien Chan, Jason Kondracki, Bernhard Rohde, and John W. Davies\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Chemoinformatics Taking Biology Into Account: Proteochemometrics 57\u003cbr\u003e \u003ci\u003eJarl E. S. Wikberg, Ola Spjuth, Martin Eklund, and Maris Lapins\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Compound Activities in Times of Systems Biology 93\u003cbr\u003e \u003ci\u003eDavid E. Patterson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Molecular Descriptors for Biological Systems 107\u003cbr\u003e \u003ci\u003eN. Sukumar, Sourav Das, Michael Krein, Rahul Godawat, Inna Vitol, Shekhar Garde, Kristin P. Bennett, and Curt M. Breneman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Graphs: Flexible Representations of Molecular Structures and Biological Networks 145\u003cbr\u003e \u003ci\u003eMilind Misra, Shawn Martin, and Jean-Loup Faulon\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Workflow Tools for Managing Biological and Chemical Data 179\u003cbr\u003e \u003ci\u003eThorsten Meinl, Bernd Wiswedel, and Michael R. Berthold\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Using Chemical Structure to Infer Biological Function 211\u003cbr\u003e \u003ci\u003eAngelo D. Favia and Irene Nobeli\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Using Chemical Structure as Probes for Biological Networks 239\u003cbr\u003e \u003ci\u003eFlorian Nigsch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 261\u003c\/p\u003e  \u003cb\u003eRAJARSHI GUHA\u003c\/b\u003e, PhD, is a Research Scientist at the NIH Center for Translational Therapeutics in Rockville, Maryland. His research covers a variety of topics in cheminformatics and chemical data mining, addressing software and methodology development as well as applications in areas such as high throughput screening and high content imaging of small molecules and siRNA's. Prior to working at the NIH, he was a visiting assistant professor in the School of Informatics and Computing, Indiana University.  \u003cp\u003e\u003cb\u003eANDREAS BENDER\u003c\/b\u003e, PhD, is a Lecturer for Molecular Informatics with the Unilever Centre for Molecular Science Informatics at the University of Cambridge. His research encompasses ways to integrate—and analyze—chemical, biological, and phenotypic data, with the aim to design molecular structures with a desired property profile. Andreas Bender received his PhD from the University of Cambridge and worked for the Novartis Institutes for Biomedical Research in Cambridge, Massachusetts before returning to his current position in academia.\u003c\/p\u003e  \u003cp\u003eA breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future\u003c\/p\u003e \u003cp\u003eBridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future.\u003c\/p\u003e \u003cp\u003eUsing algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks.\u003c\/p\u003e \u003cp\u003eComputational Approaches in Cheminformatics and Bioinformatics covers:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eData sources available for modelling and prediction purposes\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDevelopments of conventional Quantitative Structure-Activity Relationships (QSAR)\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eComputational tools for manipulating chemical and biological data\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNovel ways of probing the interactions between small molecules and proteins\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAlso including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988964655333,"sku":"NP9780470384411","price":134.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470384411.jpg?v=1761782235","url":"https:\/\/k12savings.com\/products\/computational-approaches-in-cheminformatics-and-bioinformatics-isbn-9780470384411","provider":"K12savings","version":"1.0","type":"link"}