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Drug discovery in the kinase inhibitory field using the nested chemical library™ technology

  • György Kéri
  • , Zsolt Székelyhidi
  • , Péter Bánhegyi
  • , Zoltán Varga
  • , Bálint Hegymegi-Barakonyi
  • , Csaba Szántai-Kis
  • , Doris Hafenbradl
  • , Bert Klebl
  • , Gerhard Muller
  • , Axel Ullrich
  • , Dániel Erös
  • , Zoltán Horváth
  • , Zoltán Greff
  • , Jenö Marosfalvi
  • , János Pató
  • , István Szabadkai
  • , Ildikó Szilágyi
  • , Zsolt Szegedi
  • , István Varga
  • , Frigyes Wáczek
  • László Örfi

Research output: Contribution to journalReview articlepeer-review

Abstract

Kinase inhibitors are at the forefront of modern drug research, where mostly three technologies are used for hit-and-lead finding: high throughput screening of random libraries, three-dimensional structure-based drug design based on X-ray data, and focused libraries around limited number of new cores. Our novel Nested Chemical Library™ (NCL) (Vichem Chemie Research Ltd., Budapest, Hungary) technology is based on a knowledge base approach, where focused libraries around selected cores are used to generate pharmacophore models. NCL was designed on the platform of a diverse kinase inhibitory library organized around 97 core structures. We have established a unique, proprietary kinase inhibitory chemistry around these core structures with small focused sublibraries around each core. All the compounds in our NCL library are stored in a big unified Structured Query Language database along with their measured and calculated physicochemical and ADME/toxicity (ADMET) properties, together with thousands of molecular descriptors calculated for each compound. Biochemical kinase inhibitory assays on selected, cloned kinase enzymes for a few hundred NCL compound sets can provide sufficient biological data for rational computerized design of new analogues, based on our pharmacophore model-generating 3DNET4W™ QSPAR (quantitative structure-property/activity relationships) approach. Using this pharmacophore modeling approach and the ADMET filters, we can preselect synthesizable compounds for hit-and-lead optimization. Starting from this point and integrating the information from QSPAR, high-quality leads can be generated within a small number of optimization cycles. Applying NCL technology we have developed lead compounds for several validated kinase targets.

Original languageEnglish (US)
Pages (from-to)543-551
Number of pages9
JournalAssay and Drug Development Technologies
Volume3
Issue number5
DOIs
StatePublished - Oct 2005
Externally publishedYes

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