Home Bioinformatics • New PDF release: Chemoinformatics: Theory, Practice, & Products

New PDF release: Chemoinformatics: Theory, Practice, & Products

By Barry A. Bunin, Brian Siesel, Guillermo Morales, Jürgen Bajorath

ISBN-10: 1402050003

ISBN-13: 9781402050008

ISBN-10: 1402050011

ISBN-13: 9781402050015

Chemoinformatics: concept, perform & Products covers concept, commercially on hand programs and purposes of Chemoinformatics. Chemoinformatics is widely outlined because the use of data expertise to help within the acquisition, research and administration of information and knowledge on the subject of chemicals and their houses. This levels from molecular modelling, to reactions, to spectra, to structure-activity relationships linked to chemical compounds. Computational scientists, chemists, and biologists all depend on the quickly evolving box of Chemoinformatics. Chemoinformatics: idea, perform & Products is a vital instruction manual for picking the ideal Chemoinformatics process or expertise to exploit. there was an explosion of recent Chemoinformatics instruments and methods. every one procedure has its personal software, scope, and barriers, in addition to assembly resistance to take advantage of via experimentalists. the aim of Chemoinformatics: idea, perform & Products is to supply computational scientists, medicinal chemists and biologists with specific functional info and the underlying theories in terms of glossy Chemoinformatics and similar drug discovery informatics technologies.

The ebook additionally offers a precis of at present to be had, cutting-edge, advertisement Chemoinformatics items, with a particular specialize in databases, toolkits, and modelling applied sciences designed for drug discovery. it will likely be generally important as a reference textual content for experimentalists wishing to quickly navigate the increasing box, in addition to the extra specialist computational scientists wishing to stick as much as date.

It is basically meant for utilized researchers from the chemical and pharmaceutical undefined, educational investigators, and graduate scholars.

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Additional info for Chemoinformatics: Theory, Practice, & Products

Sample text

Hopfinger AJ, Wang S, Tokarski JS et al. (1997) Construction of 3D-QSAR models using the 4D-QSAR analysis formalism. J Am Chem Soc 119:10509–10524. Jarvis RA, Patrick EA (1973) Clustering using a similarity measure based on shared near neighbors. IEEE Trans Comput C22:1025–1034. Johnson MA, Maggiora GM (eds) (1990) Concepts and applications of molecular similarity. Wiley, New York, 1990. Kier LB (1997) Kappa shape indices for similarity analysis. Med Chem Res 7:394–406. Kitchen DB, Stahura FL, Bajorath J (2004) Computational techniques for diversity analysis and compound classification.

27. In this case, a total of 122 compounds were selected by VS calculations and assayed. Five new and structurally diverse hits were identified, all having low micromolar potency (which is a fairly typical level of potency observed for hits from VS). 27. Summary of a VS project. Partitioning I and II refer to two distinct partitioning methods (figures 1. 28 were kindly provided by Florence L. Stahura) Importantly, each of the different VS methods used here identified one or two distinct hits that were not detected by the other methods.

Passive absorption, the ability of molecules to pass through membranes, provides another example for a physico-chemical property that can be well predicted using a simple filter function. Two descriptors accounting for polar molecular surface area and log P(o/w), the octanol/water partition coefficient, are generally sufficient for accurate predictions and compounds with less than 140Å2 polar surface area and a log P(o/w) between zero and four usually have favorable absorption characteristics (Egan et al.

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Chemoinformatics: Theory, Practice, & Products by Barry A. Bunin, Brian Siesel, Guillermo Morales, Jürgen Bajorath

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