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Virtual Screening: An Alternative or Complement to High Throughput Screening?
 
 
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Virtual Screening: An Alternative or Complement to High Throughput Screening? [Hardcover]

Gerhard Klebe (Editor)

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Book Description

0792366336 978-0792366331 December 15, 2000 1st
In the next couple of years the human genome will be fully sequenced. This will provide us with the sequence and overall function of all human genes as well as the complete genome for many micro-organisms. Subsequently it is hoped, by means of powerful bioinformatic tools, to determine the gene variants that contribute to various multifactorial diseases and genes that exist in certain infectious agents but not humans. As a consequence, this will allow us to define the most appropriate levels for drug intervention. It can be expected that the number of potential drug targets will increase, possibly by a factor of 10 or more. Nevertheless, sequencing the human genome or, for that matter, the genome of other species will only be the starting point for the understanding of their biological function. Structural genomics is a likely follow-up, combined with new techniques to validate the therapeutic relevance of such newly discovered targets. Accordingly, it can be expected that in the near future we will witness a substantial increase in novel putative targets for drugs. To address these new targets effectively, we require new approaches and innovative tools. At present, two alternative, yet complementary, techniques are employed: experimental high-throughput screening (HTS) of large compound libraries, increasingly provided by combinatorial chemistry, and computational methods for virtual screening and de novo design. As kind of status report on the maturity of virtual screening as a technique in drug design, the first workshop on new approaches in drug design and discovery was held in March 1999, at Schloß Rauischholzhausen, near Marburg in Germany. More than 80 scientists gathered and discussed their experience with the different techniques. The speakers were invited to summarize their contributions together with their impressions on the present applicability of their approach. Several of the speakers followed this request which is summarized in this publication.

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Inside This Book (learn more)
First Sentence:
Measures of inter-molecular similarity play an important role in drug- and pesticide-discovery programmes, being used for both database searching [1] and structure-activity studies [2]. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combinatorial docking algorithm, pipecolinic acid derivative, hydrophobicity maps, most hydrophobic points, bump penalty, combinatorial run, pyridine library, affinity fingerprints, crop protection compounds, consensus molecules, protein atom types, combinatorial chemistry experiment, ligand atom types, combinatorial subsets, docking tools, docking scores, nonpolar fragments, observed binding affinities, reference sphere radius, burial factor, predicted free energies, protein atoms, strategic bonds, reactant pools, reactant space
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Aided Mol, Proteins Struct, Drug Discov, New York, Protein Sci, Kluwer Academic Publishers, World Drug Index, Tripos Inc, American Chemical Society, Derwent Information, Germany Summary, Available Chemicals Directory, Brookhaven Protein Data Bank, John Wiley, Metric Size Reactants Products Min, Protein Eng, San Francisco, University of Sheffield, Acta Crystallogr, Blackie Academic, Boehringer Ingelheim Pharma, Molecular Simulations Inc, Protein Chem, San Leandro, Sankt Augustin
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