Bigger Is Better in Virtual Drug Screens

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Bigger Is Better in Virtual Drug Screens NEWS & VIEWS RESEARCH might no longer be elusive, but the nitrogen Doney, S. C. Biogeosciences 11, 691–708 (2014). cycle remains a treasure trove for discovery. ■ 6. Knapp, A. N., Casciotti, K. L., Berelson, W. M., Prokopenko, M. G. & Capone, D. G. Proc. Natl Acad. Sci. USA 113, 4398–4403 (2016). Nicolas Gruber is at the Institute of 7. Bonnet, S., Caffin, M., Berthelot, H. & Moutin, T. Biogeochemistry and Pollutant Dynamics, Proc. Natl Acad. Sci. USA 114, E2800–E2801 (2017). ETH Zurich, 8092 Zurich, Switzerland. 8. Wang, W.-L., Moore, J. K., Martiny, A. C. & e-mail: [email protected] Primeau, F. W. Nature 566, 205–211 (2019). 9. DeVries, T. & Primeau, F. J. Phys. Oceanogr. 41, 1. Redfield, A. C. in James Johnstone Memorial Volume 2381–2401 (2011). (ed. Daniel, R. J.) 176–192 (Univ. College Liverpool, 10. Gruber, N. in Nitrogen in the Marine Environment 50 Years Ago 1934). 2nd edn (eds Capone, D. G., Bronk, D. A., 2. Carpenter, E. J. & Capone, D. G. in Nitrogen in the Mulholland, M. R. & Carpenter, E. J.) 1–150 Test tube babies may not be just Marine Environment 2nd edn (eds Capone, D. G., (Elsevier, 2008). Bronk, D. A., Mulholland, M. R. & Carpenter, E. J.) 11. Yang, S., Gruber, N., Long, M. C. & Vogt, M. Glob. round the corner, but the day 141–198 (Elsevier, 2008). Biogeochem. Cycles 31, 1470–1487 (2017). when all the knowledge necessary 3. Gruber, N. Proc. Natl Acad. Sci. USA 113, 12. Kim, I.-N. et al. Science 346, 1102–1106 (2014). to produce them will be available 4246–4248 (2016). 13. Somes, C. J., Landolfi, A., Koeve, W. & Oschlies, A. 4. Deutsch, C., Sarmiento, J. L., Sigman, D. M., Gruber, N. Geophys. Res. Lett. 43, 4500–4509 (2016). may have been brought a stage & Dunne, J. P. Nature 445, 163–167 (2007). 14. Moisander, P. H. et al. Science 327, 1512–1514 nearer by the work reported 5. Luo, Y.-W., Lima, I. D., Karl, D. M., Deutsch, C. A. & (2010). by Dr R. G. Edwards and his colleagues this week … They have fertilized human egg cells COMPUTATIONAL DRUG DISCOVERY in vitro, overcoming the problem of sperm capacitation — how to obtain sperm that are in the right state for fertilization — by Bigger is better in using a medium similar to that recently used successfully with hamster sperm … Now that human virtual drug screens oocytes can be fertilized in vitro, the obvious next step is to culture A system has been devised that computationally screens hundreds of millions them to the blastocyst stage, as has of drug candidates — all of which can be made on demand — against biological already been achieved with the targets. This could help to make drug discovery more efficient. See Article p.224 mouse and is likely soon with the rabbit. From Nature 15 February 1969 DAVID E. GLORIAM (see go.nature.com/2sywxlt), which can be used by any researchers for virtual screening. creening for effective drugs is To evaluate how well virtual screening works tremendously expensive and inefficient. with this extremely high number of chemical 100 Years Ago High-throughput screens can cover up structures, Lyu and colleagues first investi- Sto a few million compounds, but this is just gated whether a few tens to hundreds of known While in London and examining a minute fraction of the total number (1063) ligand molecules could be distinguished the German guns in the Mall, I of ‘drug-like’ molecular structures thought to within the full library of 170 million members came across one with a burst shell exist1,2. Moreover, typically, less than 0.5% of using docking scores — which quantify how in its breech … The shell seems to compounds tested in screens turn out to have strongly compounds bind to given biologi- have burst while being loaded into activity at the chosen biological target3. There cal targets. The authors virtually screened the the gun, and, although it is well is therefore much interest in expanding the libraries against two targets: the enzyme AmpC opened out, only a small portion is number of molecules that can be explored in β-lactamase and the D4 dopamine recep- missing. The retained pieces are of the early screening stages of drug-discovery tor. The top-scoring molecules did indeed interest, for on their inner surfaces programmes, while limiting the number that include known ligands for these targets they are covered with a large need to be synthesized and assayed in the labo- and their close structural analogues. number of small patches of very ratory. On page 224, Lyu et al.4 achieve both The authors went on to synthesize the top- fine ripple marks. These must have these goals by computationally screening scoring compounds that had not previously been produced under the intense ultra-large compound libraries to prioritize been identified as ligands, as well as some pressure of the explosion, for it is compounds to be synthesized and assayed. analogues of these compounds. Many of these well known that the insides of shells Physical drug-screening libraries are were found to be pharmacologically active in are turned smooth, polished, and predominantly limited to compounds that assays. Impressively, one of the compounds varnished. It is, of course, difficult are available in-house or off-the-shelf from is the most potent AmpC inhibitor known to say whether a study of these commercial catalogues. By contrast, Lyu et al. among those that do not bind irreversibly to ripple marks will prove of scientific docked — computationally simulated the bind- the enzyme (potency describes the biological value, but seeing that the gun and ing of — 170 million compounds that could be response of a target to its ligand, rather than its shell are probably exposed to made on demand by a commercial supplier. the binding affinity of the ligand for the target). the rain, and as these unique ripple More than 97% of these compounds were not One of the D4-stimulating compounds has marks may soon corrode away, I … available from other vendors’ collections. The unprecedented affinity for D4 and selectivity suggest that this particular gun and number of compounds in the authors’ make- for it over the related D2 and D3 receptor sub- its shell should be protected against on-demand library has since grown, and is types. Moreover, some of the other identified further injury by being removed to projected to contain 1 billion within 2 years. D4 ligands were functionally selective — they a geological museum. The authors have made this library available as preferentially activated either the Gi protein From Nature 13 February 1919 a public database of 3D molecular structures or the β-arrestin cellular signalling pathways ©2019 Spri nger Nature Li mited. All ri ghts reserved. ©2019 Spri nger Nature Li mited. All ri ghts reserve14d. FEBRUARY 2019 | VOL 566 | NATURE | 193 RESEARCH NEWS & VIEWS Furthermore, the 24% and 11% experimental a Screening Lead Medicinal chemistry hit rates obtained for compounds physically compounds tested in the D4 and AmpC assays, respectively, Physical library Months Several years show that it is still necessary to synthesize a (a few million compounds) large number of compounds to find potent molecules straight away. The lower hit rate for AmpC reflects the general difficulty of finding b compounds that have high affinity for binding sites that lack a confined cavity. In principle, Virtual library ~ 1 day Several weeks this problem can be overcome by screening (170 million Virtual lead Advanced peptides — but peptide docking has signifi- compounds compounds compounds) Virtual Synthesis and cantly lower throughput and accuracy than screening assaying does small-molecule virtual screening7. Future development of docking methods should explore whether aspects of human Figure 1 | Virtual screening of ultra-large libraries can improve the efficiency of drug discovery. a, In prioritization can be incorporated into the conventional drug discovery, libraries containing a few million compounds are screened in automated scoring function, to improve the high-throughput assays to find compounds that can be used as leads for further development. quality of hits. The scientists who eyeballed These compounds typically have low potency and specificity for the biological target. Analogues of the top-scoring compounds mainly filtered the lead compounds are then iteratively made and assayed in a medicinal-chemistry programme, to out molecules whose docking conformations develop advanced compounds that have high potency and specificity. The whole process typically takes 4 were strained, and favoured compounds that several years. b, Lyu et al. computationally screened 170 million compounds in a virtual library in about formed certain interactions with their tar- a day. Several of the resulting virtual lead compounds were then synthesized and tested in physical assays, gets — an approach that can also be used to and some were found to have biological profiles as good as those of advanced compounds developed conventionally. The overall process took only a few weeks. distinguish between molecules that stimulate or inhibit certain receptors8. Studies are also needed to test the feasibility of using other that lead from D4. It has been proposed that prioritize which ones to test. Unexpectedly, Lyu docking software in huge screens, and how drugs that exhibit such functional selectivity and colleagues’ study revealed that, although well Lyu and colleagues’ method works for a might be safer than currently available ones5. the hit rates of compounds selected with human wide variety of other molecular targets. Al together, these results show how compounds input (about 24%) were similar to those selected Nonetheless, the new work clearly that have biological activities comparable using docking scores alone, the human- demonstrates the advantages of using to those of highly optimized drugs can be inspected compounds had higher affinities, ultra-large libraries to discover potent and identified simply by expanding the size and efficacies and potencies.
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