Key Points
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Fragment-based drug design is based on screening smaller numbers of compounds (typically several thousand) in the hopes of finding low-affinity fragments (Kd values in the high micromolar to millimolar range), in contrast to conventional high-throughput screening (HTS), which attempts to evaluate as many compounds as technologically possible (typically a million or more) in the hopes of finding relatively potent drug leads (Kd values ideally less than 1 μM).
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The combination of broader sampling of the potential chemical universe than HTS and increased hit rates for molecules of low complexity makes fragment-based screening a powerful tool for lead generation. Fragment-based screening is also less prone to artefacts as the low-molecular-mass compounds tend to be more soluble and the methods of detection are simpler and more robust.
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Two-dimensional, isotope-edited nuclear magnetic resonance (NMR) spectroscopy was the first approach used in fragment-based drug design. It is well suited to this purpose as NMR chemical shifts are exquisitely sensitive to ligand binding, and problems with compound interference can be solved by spectral editing.
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During the past decade, the popularity of fragment-based screening has grown at a remarkable rate in both industry and academia. A range of different strategies have been developed, including alternative NMR-based approaches that obviate the need for isotope labelling, approaches based on X-ray-crystallography and fragment tethering, which are discussed here.
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The ability to obtain NMR or X-ray crystal structures on fragment leads has a dramatic influence on the success of fragment-based drug design.
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The successful applications of fragment-based drug design have provided ample support that the use of fragments could, in many cases, be the most direct route to the best achievable balance between potency and pharmacokinetics.
Abstract
Since the early 1990s, several technological and scientific advances — such as combinatorial chemistry, high-throughput screening and the sequencing of the human genome — have been heralded as remedies to the problems facing the pharmaceutical industry. The use of these technologies in some form is now well established at most pharmaceutical companies; however, the return on investment in terms of marketed products has not met expectations. Fragment-based drug design is another tool for drug discovery that has emerged in the past decade. Here, we describe the development and evolution of fragment-based drug design, analyse the role that this approach can have in combination with other discovery technologies and highlight the impact that fragment-based methods have made in progressing new medicines into the clinic.
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References
Butcher, E. C. Can cell systems biology rescue drug discovery? Nature Rev. Drug Discov. 4, 461–467 (2005).
van der Greef, J. & McBurney, R. N. Innovation: Rescuing drug discovery: in vivo systems pathology and systems pharmacology. Nature Rev. Drug Discov. 4, 961–967 (2005).
Hardy, L. W. & Peet, N. P. The multiple orthogonal tools approach to define molecular causation in the validation of druggable targets. Drug Discov. Today 9, 117–126 (2004).
Betz, U. A., Farquhar, R. & Ziegelbauer, K. Genomics: success or failure to deliver drug targets? Curr. Opin. Chem. Biol. 9, 387–391 (2005).
Zambrowicz, B. P. & Sands, A. T. Knockouts model the 100 best-selling drugs — will they model the next 100? Nature Rev. Drug Discov. 2, 38–51 (2003).
Macarron, R. Critical review of the role of HTS in drug discovery. Drug Discov. Today 11, 277–279 (2006). An important analysis of the current and future impact of high-throughput screening on the drug discovery process.
Silverman, L., Campbell, R. & Broach, J. R. New assay technologies for high-throughput screening. Curr. Op. Chem. Biol. 2, 397–403 (1998).
Oprea, T. I. & Matter, H. Integrating virtual screening in lead discovery. Curr. Opin. Chem. Biol. 8, 349–358 (2004).
Shoichet, B. K. Virtual screening of chemical libraries. Nature 432, 862–865 (2004).
Scapin, G. Structural biology and drug discovery. Curr. Pharm. Des. 12, 2087–2097 (2006).
Brown, D. & Superti-Furga, G. Rediscovering the sweet spot in drug discovery. Drug Discov. Today 8, 1067–1077 (2003).
Bohm, H. J. Site-directed structure generation by fragment-joining. Persp. Drug. Disc. Design 3, 21–33 (1995).
Miranker, A. & Karplus, M. Functionality maps of binding sites: a multiple copy simultaneous search method. Proteins 11, 29–34 (1991).
Hajduk, P. J., Meadows, R. P. & Fesik, S. W. NMR-based screening in drug discovery. Q. Rev. Biophys. 32, 211–240 (1999).
Shuker, S. B., Hajduk, P. J., Meadows, R. P. & Fesik, S. W. Discovering high-affinity ligands for proteins: SAR by NMR. Science 274, 1531–1534 (1996). A seminal paper describing the SAR by NMR method.
Hajduk, P. J. et al. Discovery of potent nonpeptide inhibitors of stromelysin using SAR by NMR. J. Am. Chem. Soc. 119, 5818–5827 (1997). Application of the SAR by NMR concept to matrix metalloproteinases, ultimately resulting in the first compound designed using a fragment-based approach to reach the clinic (see reference 18 below).
Beckett, R. P., Davidson, A. H., Drummond, A. H., Huxley, P. & Whittaker, M. Recent advances in matrix metalloproteinase inhibitor research. Drug. Disc. Today 1, 16–26 (1996).
Wada, C. K. et al. Phenoxyphenyl sulfone N-formylhydroxylamines (Retorhydroxamates) as potent, selective, orally bioavailable matrix metalloproteinase inhibitors. J. Med. Chem. 45, 219–232 (2002).
Oltersdorf, T. et al. An inhibitor of Bcl-2 family proteins induces regression of solid tumours. Nature 435, 677–681 (2005). The most recent example of the SAR by NMR approach applied to a protein–protein interaction target, ultimately resulting in a compound that is currently in Phase I clinical trials for the treatment of cancer.
Kirkin, V., Joos, S. & Zornig, M. The role of Bcl-2 family members in tumorigenesis. Biochim. Biophys. Acta 1644, 229–249 (2004).
Petros, A. M. et al. Discovery of a potent inhibitor of the antiapoptotic protein Bcl-xL from NMR and parallel synthesis. J. Med. Chem. 49, 656–663 (2006).
Lepre, C. A., Moore, J. M. & Peng, J. W. Theory and applications of NMR-based screening in pharmaceutical research. Chem. Rev. 104, 3641–3676 (2004).
Meyer, B. & Peters, T. NMR spectroscopy techniques for screening and identifying ligand binding to protein receptors. Angew. Chem. Int. Ed. Engl. 42, 864–890 (2003). An excellent overview of the numerous applications of NMR in fragment-based screening.
Dalvit, C. et al. A general NMR method for rapid, efficient, and reliable biochemical screening. J. Am. Chem. Soc. 125, 14620–14625 (2003).
London, R. E. Theoretical analysis of the inter-ligand overhauser effect: a new approach for mapping structural relationships of macromolecular ligands. J. Magn. Reson. 141, 301–311 (1999).
Becattini, B. et al. Structure-activity relationships by interligand NOE-based design and synthesis of antiapoptotic compounds targeting Bid. Proc. Natl Acad. Sci. USA 103, 12602–12606 (2006).
Lin, M., Shapiro, M. J. & Wareing, J. R. Diffusion-edited NMR-affinity NMR for direct observation of molecular interactions. J. Am. Chem. Soc. 119, 5249–5250 (1997).
Fejzo, J. et al. The SHAPES strategy: An NMR-based approach for lead generation in drug discovery. Chem. Biol. 6, 755–769 (1999).
Stockman, B. J. NMR spectroscopy as a tool for structure-based drug design. Prog. Nucl. Magn. Reson. Spectrosc. 33, 109–151 (1998).
Dalvit, C. et al. NMR-based screening with competition water-ligand observed via gradient spectroscopy experiments: detection of high-affinity ligands. J. Med. Chem. 45, 2610–2614 (2002).
Nienaber, V. L. et al. Discovering novel ligands for macromolecules using X-ray crystallographic screening. Nature Biotechnol. 18, 1105–1108 (2000).
Carr, R. A., Congreve, M., Murray, C. W. & Rees, D. C. Fragment-based lead discovery: leads by design. Drug Discov. Today 10, 987–992 (2005). A concise description of the theory, advantages and applications of fragment-based drug design.
Erlanson, D. A., Wells, J. A. & Braisted, A. C. Tethering: fragment-based drug discovery. Annu. Rev. Biophys. Biomol. Struct. 33, 199–223 (2004).
Martin, Y. C. Challenges and prospects for computational aids to molecular diversity. Perspect. Drug Discov. Des. 7–8, 159–172 (1997).
Jacoby, E. et al. Key aspects of the Novartis compound collection enhancement project for the compilation of a comprehensive chemogenomics drug discovery screening collection. Curr. Top. Med. Chem. 5, 397–411 (2005).
Davis, A. M., Keeling, D. J., Steele, J., Tomkinson, N. P. & Tinker, A. C. Components of successful lead generation. Curr. Top. Med. Chem. 5, 421–439 (2005).
Fink, T., Bruggesser, H. & Reymond, J. L. Virtual exploration of the small-molecule chemical universe below 160 Daltons. Angew. Chem. Int. Ed. Engl. 44, 1504–1508 (2005).
Hann, M. M., Leach, A. R. & Harper, G. Molecular complexity and its impact on the probability of finding leads for drug discovery. J. Chem. Inf. Comput. Sci. 41, 856–864 (2001). The authors provide a sound theoretical basis for the success of fragment-based screening based on molecular complexity and basic principles of molecular recognition.
Schuffenhauer, A. et al. Library design for fragment based screening. Curr. Top. Med. Chem. 5, 751–762 (2005).
Hajduk, P. J., Huth, J. R. & Fesik, S. W. Druggability indices for protein targets derived from NMR-based screening data. J. Med. Chem. 48, 2518–2525 (2005). An analysis that establishes the utility of using fragment-based screening not only for lead identification, but also for characterizing the druggability of protein targets with small-molecule ligands. A computational analysis of protein druggability is also described.
McGovern, S. L., Caselli, E., Grigorieff, N. & Shoichet, B. K. A common mechanism underlying promiscuous inhibitors from virtual and high-throughput screening. J. Med. Chem. 45, 1712–1722 (2002).
Huth, J. R. et al. ALARM NMR: a rapid and robust experimental method to detect reactive false positives in biochemical screens. J. Am. Chem. Soc. 127, 217–224 (2005).
Hajduk, P. J. & Burns, D. J. Integration of NMR and high-throughput screening. Comb. Chem. High Throughput Screen. 5, 613–621 (2002).
Qian, J. et al. Discovery of novel inhibitors of Bcl-xL using multiple high-throughput screening platforms. Anal. Biochem. 328, 131–138 (2004).
Abad-Zapatero, C. & Metz, J. T. Ligand efficiency indices as guideposts for drug discovery. Drug Discov. Today 10, 464–469 (2005).
Hopkins, A. L., Groom, C. R. & Alex, A. Ligand efficiency: a useful metric for lead selection. Drug Discov. Today 9, 430–431 (2004). This work (together with reference 45) provides some benchmarks for evaluating the usefulness of drug leads based on relationships between potency and mass.
Oprea, T. I., Davis, A. M., Teague, S. J. & Leeson, P. D. Is there a difference between leads and drugs? A historical perspective. J. Chem. Inf. Comput. Sci. 41, 1308–1315 (2001). An important analysis of the process of lead optimization, in which quantitative measures of the changes in mass, hydrophobicity and other physicochemical properties that occur during synthetic optimization are given.
Lipinski, C. A. Drug-like properties and the causes of poor solubility and poor permeability. J. Pharmacol. Toxicol. Methods 44, 235–249 (2000). A landmark paper correlating oral bioavailability with various physicochemical properties such as mass and hydrophobicity. The guidelines described in this paper are now used throughout the pharmaceutical industry.
Hajduk, P. J. Fragment-based drug design: how big is too big? J. Med. Chem. 49, 6972–6976 (2006). A retrospective analysis of the process of fragment optimization, in which it is demonstrated that the ultimate ligand efficiency of an optimized inhibitor is dictated by the fragment core, thereby enabling a quantitative evaluation of lead selection and optimization.
Lipinski, C., Lombardo, F., Dominy, B. & Feeney, P. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Delivery Rev. 23, 3–25 (1997).
Wunberg, T. et al. Improving the hit-to-lead process: data-driven assessment of drug-like and lead-like screening hits. Drug Discov. Today 11, 175–180 (2006).
Wolfson, W. Fragmentary solutions Astex Therapeutics puts the pieces together. Chem. Biol. 13, 799–801 (2006).
Barker, J., Courtney, S., Hesterkamp, T., Ullmann, D. & Whittaker, M. Fragment screening by biochemical assay. Expert Opin. Drug Discov. 1, 225–236 (2006).
Vanwetswinkel, S. et al. TINS, target immobilized NMR screening: an efficient and sensitive method for ligand discovery. Chem. Biol. 12, 207–216 (2005).
Lehn, J. M. & Eliseev, A. V. Dynamic combinatorial chemistry. Science 291, 2331–2332 (2001).
Otto, S., Furlan, R. L. & Sanders, J. K. Recent developments in dynamic combinatorial chemistry. Curr. Opin. Chem. Biol. 6, 321–327 (2002).
Vajda, S. & Guarnieri, F. Characterization of protein–ligand interaction sites using experimental and computational methods. Curr. Opin. Drug Discov. Devel. 9, 354–362 (2006).
Hajduk, P. J. et al. Design of adenosine kinase inhibitors from the NMR-based screening of fragments. J. Med. Chem. 43, 4781–4786 (2000).
Liu, G. et al. Novel p-arylthio cinnamides as antagonists of leukocyte function-associated antigen-1/ intracellular adhesion molecule-1 interaction. 2. Mechanism of inhibition and structure-based improvement of pharmaceutical properties. J. Med. Chem. 44, 1202–1210 (2001).
Szczepankiewicz, B. G. et al. Discovery of a potent, selective protein tyrosine phosphatase 1B inhibitor using a linked-fragment strategy. J. Am. Chem. Soc. 125, 4087–4096 (2003).
Sanders, W. J. et al. Discovery of potent inhibitors of dihydroneopterin aldolase using CrystaLEAD high-throughput X-ray crystallographic screening and structure-directed lead optimization. J. Med. Chem. 47, 1709–1718 (2004).
Astex Therapeutics. Clincal candidates: AT13387. Astex Therapeutics web site[online].
Gill, A. L. et al. Identification of novel p38a MAP kinase inhibitors using fragment-based lead generation. J. Med. Chem. 48, 414–426 (2005).
Lange, G. et al. Requirements for specific binding of low affinity inhibitor fragments to the SH2 domain of (pp60)Src are identical to those for high affinity binding of full length inhibitors. J. Med. Chem. 46, 5184–5195 (2003).
Lesuisse, D. et al. SAR and X-ray. A new approach combining fragment-based screening and rational drug design: application to the discovery of nanomolar inhibitors of Src SH2. J. Med. Chem. 45, 2379–2387 (2002).
Forino, M. et al. Efficient synthetic inhibitors of anthrax lethal factor. Proc. Natl Acad. Sci. USA 102, 9499–9504 (2005).
Card, G. L. et al. A family of phosphodiesterase inhibitors discovered by cocrystallography and scaffold-based drug design. Nature Biotech. 23, 201–207 (2005).
Oblak, M. et al. In silico fragment-based discovery of indolin-2-one analogues as potent DNA gyrase inhibitors. Bioorg. Med. Chem. Lett. 15, 5207–5210 (2005).
Blaney, J., Nienaber, V. L. & Burley, S. in Fragment-Based Approaches in Drug Discovery (eds Jahnke, W. & Erlanson, D. A.) 215–248 (Wiley–VCH, Weinheim, Germany, 2006).
Warner, S. L. et al. Identification of a lead small-molecule inhibitor of the Aurora kinases using a structure-assisted, fragment-based approach. Mol. Cancer Ther. 5, 1764–1773 (2006).
Zhu, Z. et al. Heterocyclic aspartyl protease inhibitors. US Patent 20060111370 (2006).
Chan, T-Y. et al. Kinase inhibitors. European Patent WO2006081230 (2006).
Sunesis. Pipeline programs: SNS-314. Sunesis web site[online].
Braisted, A. C. et al. Discovery of a potent small molecule IL-2 inhibitor through fragment assembly. J. Am. Chem. Soc. 125, 3714–3715 (2003).
Choong, I. C. et al. Identification of potent and selective small-molecule inhibitors of caspase-3 through the use of extended tethering and structure-based drug design. J. Med. Chem. 45, 5005–5022 (2002).
O'Brien, T. et al. Structural analysis of caspase-1 inhib-itors derived from Tethering. Acta Crystallograph. Sect. F Struct. Biol. Cryst. Commun. 61, 451–458 (2005).
Sem, D. in Fragment-Based Approaches in Drug Discovery (eds Jahnke, W. & Erlanson, D. A.) 149–177 (Wiley–VCH, Weinheim, Germany, 2006). One of a series of chapters in a book dedicated to the theory, implementation and application of fragment-based drug design.
Moore, J. et al. Leveraging structural approaches: applications of NMR-based screening and X-ray crystallography for inhibitor design. J. Synchrotron Radiat. 11, 97–100 (2004).
Acknowledgements
The authors would like to thank R. Artis (Plexxikon), M. Congreve (Astex), D. Erlanson (Sunesis), R. Hubbard (Vernalis), W. Jahnke (Novartis), C. Lepre (Vertex), and D. Wyss (Schering–Plough) for help in gathering the data for Table 1.
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Glossary
- Forward and reverse genetics
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Forward genetics approaches involve proceeding from phenotype to genotype by positional cloning or candidate-gene analysis. Reverse genetics approaches involve proceeding from genotype to phenotype through gene-manipulation techniques.
- New chemical entity
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A medication containing an active ingredient that has not been previously approved for marketing in any form.
- Kd values
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The equilibrium dissociation constant of a compound that reflects the concentration needed to reach half-maximal saturation of binding sites. Kd reflects the strength of binding of a compound to its specific binding site.
- Pharmacophore
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The ensemble of steric and electronic features that is necessary to ensure optimal interactions with a specific biological target structure and to trigger (or to block) its biological response.
- Two-dimensional, isotope-edited nuclear magnetic resonance (NMR) spectroscopy
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NMR experiments that exploit nuclear coupling to correlate the chemical shifts of protons with other NMR-active nuclei, most often carbon-13 or nitrogen-15.
- Structure–activity relationships
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Correlations that are constructed between the features of chemical structure in a set of candidate compounds and parameters of biological activity, such as potency, selectivity and toxicity.
- IC50 value
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The half maximal inhibitory concentration. Represents the concentration of an inhibitor that is required for 50% inhibition of a biological or molecular process.
- Druggability
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The ability of a target to be modulated by a lead candidate that has the requisite physicochemical and absorption, distribution, metabolism and excretion properties for development as a drug candidate.
- Rule-of-five
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The 'rule of five' identifies several key properties that should be considered for compounds with oral delivery in mind. These properties are molecular mass <500 Da, cLogP <5, number of hydrogen-bond donors <5 and number of hydrogen-bond acceptors <10.
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Hajduk, P., Greer, J. A decade of fragment-based drug design: strategic advances and lessons learned. Nat Rev Drug Discov 6, 211–219 (2007). https://doi.org/10.1038/nrd2220
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DOI: https://doi.org/10.1038/nrd2220
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