Virtual ligand screening: strategies, perspectives and limitations

By Gerhard Klebe. 2006

639 citations recorded by the source corpus.

In contrast to high-throughput screening, in virtual ligand screening (VS), compounds are selected using computer programs to predict their binding to a target receptor. A key prerequisite is knowledge about the spatial and energetic criteria responsible for protein–ligand binding. The concepts and prerequisites to perform VS are summarized here, and explanations are sought for the enduring limitations of the technology. Target selection, analysis and preparation are discussed, as well as considerations about the compilation of candidate ligand libraries. The tools and strategies of a VS campaign, and the accuracy of scoring and ranking of the results, are also considered.

Subfields: Computational Theory and Mathematics, Molecular Biology, Computational Chemistry & Drug Discovery

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In Computational Theory and Mathematics

  1. Jean-Louis Reymond
  2. Ruud Van Deursen
  3. Lorenz C. Blum
  4. Lars Ruddigkeit
  5. Sean Ekins
  6. Jordi Mestres
  7. Bernard Testa
  8. Glaucius Oliva

In Molecular Biology

  1. Jean-Louis Reymond
  2. Ruud Van Deursen
  3. Lorenz C. Blum
  4. Lars Ruddigkeit
  5. Jordi Mestres
  6. Sean Ekins
  7. Bernard Testa
  8. Glaucius Oliva

In Computational Chemistry & Drug Discovery

  1. Ruud Van Deursen
  2. Jean-Louis Reymond
  3. Lorenz C. Blum
  4. Adriano Defini Andricopulo
  5. Ricardo N Dos Santos
  6. L. Ferreira
  7. Glaucius Oliva
  8. Lars Ruddigkeit

Citations in the corpus