Annual Reports in Computational Chemistry, Vol. 4 by Ralph A. Wheeler, David C. Spellmeyer

By Ralph A. Wheeler, David C. Spellmeyer

Annual studies in Computational Chemistry is a brand new periodical delivering well timed and demanding stories of significant themes in computational chemistry as utilized to all chemical disciplines. themes lined comprise quantum chemistry, molecular mechanics, strength fields, chemical schooling, and functions in educational and business settings. each one quantity is geared up into (thematic) sections with contributions written through specialists. concentrating on the latest literature and advances within the box, each one article covers a selected subject of value to computational chemists. Annual reviews in Computational Chemistry is a "must" for researchers and scholars wishing to stick up to date on present advancements in computational chemistry.

* vast assurance of computational chemistry and updated info
* issues coated contain bioinformatics, drug discovery, protein NMR, simulation methodologies, and functions in educational and commercial settings
* every one bankruptcy studies the latest literature on a particular subject of curiosity to computational chemists

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Extra resources for Annual Reports in Computational Chemistry, Vol. 4

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Target assessment for antiparasitic drug discovery. Trends Parasitol. 2007, 23, 589–95. 4. , Williams-Jones, B. High-throughput electronic biology: Mining information for drug discovery. Nature Rev. Drug. Discov. 2007, 6, 220–30. 5. , Ullrich, A. Strategies to overcome resistance to targeted protein kinase inhibitors. Nature Rev. Drug Disc. 2004, 3, 1001–10. 6. M. Features of selective kinase inhibitors. Chem. Biol. 2005, 12, 621–37. 7. H. Rapid computational identification of the targets of protein kinase inhibitors.

R. The druggable genome. Nat. Rev. Drug Discov. 2002, 1, 727–30. 62. L. How many drug targets are there? Nature Rev. Drug Discov. 2006, 5, 993–6. 63. , Pervaiz, S. Druggability of human disease genes. Int. J. Biochem. Cell Biol. 2007, 39, 1156–64. 64. A. Interrogating the druggable genome with structural informatics. Mol. Divers. 2006, 10, 273–81. 65. , Lampel, S. The druggable genome: An update. Drug Discov. Today 2005, 10, 1607–10. 66. K. The promise of genomics to identify novel therapeutic targets.

Gene 1988, 73, 237–44. Predicting Selectivity and Druggability in Drug Discovery 35 27. S. 0: A tool for editing, annotating, and analyzing multiple sequence alignments. BMC Bioinformatics 2007, 8, 381. 28. J. The jalview java alignment editor. Bioinformatics 2004, 20, 426–7. 29. , Kumar, S. 0. Mol. Biol. Evolution 2007, 24, 1596–9. 30. , Dominguez, C. MAP kinase p38 inhibitors: Clinical results and an intimate look at their interactions with p38alpha protein. Curr. Med. Chem. 2005, 12, 2979–94.

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