Target‐Family‐Oriented Focused Libraries for Kinases—Conceptual Design Aspects and Commercial Availability

Parallelization and automation techniques have significantly altered the drug-discovery process over the past few years. Highly sophisticated robotic systems allow screening, processing, and analysis of the generated data sets of a million compounds within several days. Automation in the medicinal chemistry section allows the synthesis of large multipurpose screening libraries or, in turn, may provide mid-sized libraries suitable for elucidating preliminary SAR trends of hits, thus speeding up the lead identification and optimization. Nevertheless, the screening of compounds is a costly enterprise, and both the availability of sufficient protein quantities and a robust assay amenable for high throughput are prerequisites in conducting the screening of large compound numbers. Should only a limited amount of protein be available or the assay design allow only a medium throughput, a broad screening approach appears questionable, and the screening of selected compound sets instead seems favorable. Additionally, such compound arrays can be used for rapid chemical-target validation or general drugability assessments. The human kinome comprises a minimum of 518 different kinases. Undoubtedly, the kinase protein family comprises a rich source of validated targets, such as bcr-abl, EGFR, or VEGF. These enzymes play fundamental roles in many biochemical pathways, such as cell differentiation, cell-cycle control, and apoptosis. All such mechanisms are tightly regulated and entail a well-functioning and balanced counterplay of all biochemical switches involved. Upor down-regulation of individual kinases due to malfunction may result in the onset of cancer or other diseases, for example, diabetes or inflammation. However, the presence of closely related but distinct targets requires some alterations of common library-design approaches, especially in view of employing virtual descriptors and generalizing target criteria. This effort implies more than just collecting compounds derived from various structural classes. In the meantime, several companies have commercialized their focused libraries of tentative kinase inhibitors. Whereas several of these focus primarily on the established set of kinase-related scaffolds, others claim to address this matter through the design of novel scaffolds. This article will summarize conceptual approaches toward the design and the synthesis of focused libraries specifically generated to inhibit kinases, and will reflect some more recent commercial activities in this field. In general, approaches for library design are driven either by structural or by descriptor properties. In the recent past, promising approaches to designing target-family-oriented libraries have surfaced for both areas.

[1]  B. Ruggeri,et al.  Development of vascular endothelial growth factor receptor (VEGFR) kinase inhibitors as anti-angiogenic agents in cancer therapy. , 2004, Current medicinal chemistry.

[2]  L Xue,et al.  Molecular scaffold-based design and comparison of combinatorial libraries focused on the ATP-binding site of protein kinases. , 1999, Journal of molecular graphics & modelling.

[3]  Ralph Mazitschek,et al.  Niedermolekulare Verbindungen als Inhibitoren Cyclin-abhängiger Kinasen , 2003 .

[4]  S. Hubbard,et al.  Structures of the tyrosine kinase domain of fibroblast growth factor receptor in complex with inhibitors. , 1997, Science.

[5]  I. Hardcastle,et al.  Designing inhibitors of cyclin-dependent kinases. , 2002, Annual review of pharmacology and toxicology.

[6]  Stephen D. Pickett,et al.  Classification of Kinase Inhibitors Using BCUT Descriptors , 2000, J. Chem. Inf. Comput. Sci..

[7]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[8]  L. Sorbera,et al.  Bay-43-9006: Oncolytic raf kinase inhibitor , 2002 .

[9]  Mika A. Kastenholz,et al.  GRID/CPCA: a new computational tool to design selective ligands. , 2000, Journal of medicinal chemistry.

[10]  Stephen Mackinnon,et al.  Imatinib mesylate--the new gold standard for treatment of chronic myeloid leukemia. , 2003, The New England journal of medicine.

[11]  P. Furet,et al.  Strategies toward the design of novel and selective protein tyrosine kinase inhibitors. , 1999, Pharmacology & therapeutics.

[12]  Paul Workman,et al.  The Cyclin-dependent Kinase Inhibitor CYC202 (R-Roscovitine) Inhibits Retinoblastoma Protein Phosphorylation, Causes Loss of Cyclin D1, and Activates the Mitogen-activated Protein Kinase Pathway , 2004, Cancer Research.

[13]  K. Fukasawa,et al.  Structure-based generation of a new class of potent Cdk4 inhibitors: new de novo design strategy and library design. , 2001, Journal of medicinal chemistry.

[14]  Yasuharu Sasaki,et al.  A Protein Kinase Inhibitor, Fasudil (AT‐877): A Novel Approach to Signal Transduction Therapy , 1998 .

[15]  H. Matter,et al.  Structural classification of protein kinases using 3D molecular interaction field analysis of their ligand binding sites: target family landscapes. , 2002, Journal of medicinal chemistry.

[16]  A H Calvert,et al.  Identification of novel purine and pyrimidine cyclin-dependent kinase inhibitors with distinct molecular interactions and tumor cell growth inhibition profiles. , 2000, Journal of medicinal chemistry.

[17]  L. Toledo,et al.  Structural analysis of the lymphocyte-specific kinase Lck in complex with non-selective and Src family selective kinase inhibitors. , 2000, Structure.

[18]  D. Boschelli,et al.  4-Anilino-6,7-dialkoxyquinoline-3-carbonitrile inhibitors of epidermal growth factor receptor kinase and their bioisosteric relationship to the 4-anilino-6,7-dialkoxyquinazoline inhibitors. , 2000, Journal of medicinal chemistry.

[19]  G. Müller,et al.  Medicinal chemistry of target family-directed masterkeys. , 2003, Drug discovery today.

[20]  P. Schneider,et al.  Glossary of Terms Used in Combinatorial Chemistry , 1999 .

[21]  A. Huwe,et al.  Small molecules as inhibitors of cyclin-dependent kinases. , 2003, Angewandte Chemie.

[22]  S H Kim,et al.  Exploiting chemical libraries, structure, and genomics in the search for kinase inhibitors. , 1998, Science.

[23]  P. Cohen,et al.  Specificity and mechanism of action of some commonly used protein kinase inhibitors , 2000 .

[24]  P. Goodford A computational procedure for determining energetically favorable binding sites on biologically important macromolecules. , 1985, Journal of medicinal chemistry.

[25]  C. Sawyers Opportunities and challenges in the development of kinase inhibitor therapy for cancer. , 2003, Genes & development.

[26]  A. Levitzki,et al.  Tyrosine kinase inhibition: an approach to drug development. , 1995, Science.

[27]  G. S. Weston,et al.  The use of computational methods in the discovery and design of kinase inhibitors. , 2002, Current pharmaceutical design.

[28]  J. Ochs Rationale and clinical basis for combining gefitinib (IRESSA, ZD1839) with radiation therapy for solid tumors. , 2004, International journal of radiation oncology, biology, physics.

[29]  D. Boschelli,et al.  Pyrido[2,3-d]pyrimidin-7-one inhibitors of cyclin-dependent kinases. , 2000, Journal of medicinal chemistry.

[30]  J. Drevs,et al.  Receptor tyrosine kinases: the main targets for new anticancer therapy. , 2003, Current drug targets.

[31]  Robert S. Pearlman,et al.  Metric Validation and the Receptor-Relevant Subspace Concept , 1999, J. Chem. Inf. Comput. Sci..

[32]  L. Kuyper,et al.  Binding mode of the 4-anilinoquinazoline class of protein kinase inhibitor: X-ray crystallographic studies of 4-anilinoquinazolines bound to cyclin-dependent kinase 2 and p38 kinase. , 2000, Journal of medicinal chemistry.

[33]  Punit Marathe,et al.  Discovery of aminothiazole inhibitors of cyclin-dependent kinase 2: synthesis, X-ray crystallographic analysis, and biological activities. , 2002, Journal of medicinal chemistry.

[34]  T. Hunter,et al.  The Protein Kinase Complement of the Human Genome , 2002, Science.

[35]  J. Adams,et al.  A strategy for the design of multiplex inhibitors for kinase-mediated signalling in angiogenesis. , 2002, Current opinion in chemical biology.