The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Structural biology and bioinformatics in drug design: opportunities and challenges for target identification and lead discovery
Open accessAbstract
Impressive progress in genome sequencing, protein expression and high-throughput crystallography and NMR has radically transformed the opportunities to use protein three-dimensional structures to accelerate drug discovery, but the quantity and complexity of the data have ensured a central place for informatics. Structural biology and bioinformatics have assisted in lead optimization and target identification where they have well established roles; they can now contribute to lead discovery, exploiting high-throughput methods of structure determination that provide powerful approaches to screening of fragment binding.
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Cites
Friesner, R. A., Banks, J. L., Murphy, R. B., Halgren, T. A., Klicic, J. J., Mainz, D. T., Repasky, M. P., Knoll, E. H., Shelley, M., Perry, J. K., et al. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm0306430 · Cited by 10,057
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305
A new approach to protein fold recognition
Jones, D. T., Taylort, W. R., & Thornton, J. M. (1992) · Nature · doi:10.1038/358086a0 · Cited by 1,221
Insights into DNA recombination from the structure of a RAD51–BRCA2 complex
Pellegrini, L., Yu, D. S., Lo, T., Anand, S., Lee, M., Blundell, T. L., & Venkitaraman, A. R. (2002) · Nature · doi:10.1038/nature01230 · Cited by 704
Self-citation
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Uddin, T. M., Chakraborty, A. J., Khusro, A., Zidan, B. R. M., Mitra, S., Emran, T. B., Dhama, K., Ripon, M. K. H., Gajdács, M., Sahibzada, M. U. K., et al. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.10.020 · Cited by 1,311
Small molecules, big targets: drug discovery faces the protein–protein interaction challenge
Scott, D. E., Bayly, A. R., Abell, C., & Skidmore, J. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.29 · Cited by 1,137
Modulating protein–protein interactions: the potential of peptides
Nevola, L., & Giralt, E. (2015) · Chemical Communications · doi:10.1039/c4cc08565e · Cited by 289
Structural Biology and Drug Discovery of Difficult Targets: The Limits of Ligandability
Surade, S., & Blundell, T. L. (2012) · Chemistry & Biology · doi:10.1016/j.chembiol.2011.12.013 · Cited by 230
Self-citationTargeting Protein–Protein Interactions and Fragment-Based Drug Discovery
Valkov, E., Sharpe, T., Marsh, M., Greive, S., & Hyvönen, M. (2011) · Topics in Current Chemistry · doi:10.1007/128_2011_265 · Cited by 107
Metadata
- Authors
- Blundell, T. L., Sibanda, B. L., Montalvão, R. W., Brewerton, S., Chelliah, V., Worth, C. L., Harmer, N. J., Davies, O., & Burke, D.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2006-02-03
- Volume
- 361
- Issue
- 1467
- Pages
- 413-423
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2143411881
- Cited by
- 177
- References
- 4
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- green
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- Blundell, T. L., Sibanda, B. L., Montalvão, R. W., Brewerton, S., Chelliah, V., Worth, C. L., Harmer, N. J., Davies, O., & Burke, D. (2006). Structural biology and bioinformatics in drug design: opportunities and challenges for target identification and lead discovery. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2005.1800
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
