Libraries virtual

Usually an Internet user learns after a while where to go for specific information The Browser provides a bookmark tlmction where all these addresses can be organized by different subjects Typical bookmark folders are Societies, Companies, Journals, Institutes, Databases, Search engines The NDTnet Journal provides a virtual library that makes it easy for newcomers to find NDT sites. Unfortunately, some sites provide a lot of information but do not offer a search function. 

The term enumeration when applied to a combinatorial library refers to the process by which the cormection tables for the product structures in a real or virtual library are produced. It should be noted that a single compound can be considered as a library of one and so enumeration can equally well be applied in this case. However, whereas it is considered reasonable for a chemist to draw the structure of a single compoimd manually (which may have taken days, if not months or years, to synthesise), it is clearly not practical to do so even for small combinatorial libraries. Hence the need for automated tools to perform this procedure. 

R and M M Hann 2000. The In Silico World of Virtual Libraries. Drug Discovery Today 5 326-336. R and I D Kuntz 1990. Conformational Analysis of Flexible Ligands in Macromolecular eptor Sites. Journal of Computational Chemistry 13 730-748. 

The previous sections have summarized the basic techniques available for searching chemical databases for specific types of query. Another important database application is compound selection, the ability to select a subset of a database for submission to a biological testing program. The selection procedure can be applied to in-house databases, to externally available compound collections, or to virtual libraries, that is, sets of compounds that could potentially be synthesized. 

Cathepsin D. The design of inhibitors of the aspartyl protease cathepsin D started from a virtual library of peptide analogs that contained the typical hydroxyethylamine isoster for the cleavable peptide bond. As the availability of starting materials would have generated a library of about 1 billion compounds, virtual screening was applied to reduce this multitude of candidate structures to a reasonable number. The backbone of a peptide... 

Wang RX, Wang SM. How does consensus scoring work for virtual library screening An idealized computer experiment. J Chem Inf Comput Sci 2001 41 1422-6. 

A comprehensive list of neuroscience resources part of the World-Wide Web Virtual Library.)... 

Venoms, nemoactive snake, 21 (1984) 63 Virtual screemng of virtual libraries, 41 (2003) 61... 

Mycobacterium tuberculosis Recursive partitioning, similarity to conceptual virtual libraries 1 hit/4 tested [72]... 

Test a substantial number of compounds. VS methods generally offer enrichment, but most ranked hit lists contain a significant proportion of false positives. Hitlists should be scaled to 1-5% of the compounds in the virtual library screened. In many real world situations, the computational chemist is being asked to choose lists of compounds representing 0.1% or less of the compounds screened (e.g., the best 100 of 100,000 compounds). Typically, VS methods have been validated considering 1%, 5%, or 10% of the total number of compounds in the VS collection. By following up on more compounds, one increases the probability of impact from VS. 

It is particularly effective to pair structure-based design with array synthesis. A relatively larger virtual library of possible analogs can be docked into the structure and the analogs prioritized for synthesis or eliminated if scored low. 

EEVL (Edinburgh Engineering Virtual Library) Internet Guide to Engineering, Mathematics and Computing, www.eevl.ac.uk Heriot-Watt University, Edinburgh, UK... 

World-Wide Web Virtual Library www.che.ufl.edu/WWW-CHEindex.html University of Florida, USA... 

A major drawback of the PSAa is, however, the rather time-consuming calculation, particularly, the Monte Carlo conformational search, which makes PSAa inappropriate for computational screening (e-screening) of large virtual libraries. 

In view of latter developments (see Sections 16.4.9-16.4.11 for further details) the procedure, even with simplifications such as using a single CONCORD/ CORINA-derived 3D geometry instead of performing a Monte Carlo conformational search, is too computationally expensive to be applied to e-screening of virtual libraries. However, it may still be a useful alternative/complement for computing more detailed information about a compound, or to provide a more easily interpretable model to complement other models based on more rapidly computable parameters but which are difficult to interpret in terms of how to modify compounds in order for them to have better intestinal absorption characteristics. 

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