The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv
Open accessAbstract
SUMMARY There is an urgent need for the discovery and development of new antitubercular agents that target new biochemical pathways and treat drug resistant forms of the disease. One approach to addressing this need is through high throughput screening of medicinally relevant libraries against the whole bacterium in order to discover a variety of new, active scaffolds that will stimulate new biological research and drug discovery. Through the Tuberculosis Antimicrobial Acquisition and Coordinating Facility (www.taacf.org), a large, medicinally relevant chemical library was screened against M. tuberculosis strain H37Rv. The screening methods and a medicinal chemistry analysis of the results are reported herein.
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Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Ring-substituted quinolines as potential anti-tuberculosis agents
Vangapandu, S., Jain, M., Jain, R., Kaur, S., & Pal Singh, P. (2004) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2004.03.045 · Cited by 103
Substituted 4-methylquinolines as a new class of anti-tuberculosis agents
Jain, R., Vaitilingam, B., Nayyar, A., & Palde, P. B. (2003) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/s0960-894x(03)00074-x · Cited by 62
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Stanley, S. A., Grant, S. S., Kawate, T., Iwase, N., Shimizu, M., Wivagg, C., Silvis, M., Kazyanskaya, E., Aquadro, J., Golas, A., et al. (2012) · ACS Chemical Biology · doi:10.1021/cb300151m · Cited by 253
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Abrahams, K. A., Cox, J. A. G., Spivey, V. L., Loman, N. J., Pallen, M. J., Constantinidou, C., Fernández, R., Alemparte, C., Remuiñán, M. J., Barros, D., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052951 · Cited by 177
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
Clark, A. M., Dole, K., Coulon-Spektor, A., McNutt, A., Grass, G., Freundlich, J. S., Reynolds, R. C., & Ekins, S. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00143 · Cited by 114
Self-citationDiscovery of neuroprotective compounds by machine learning approaches
Fang, J., Pang, X., Yan, R., Lian, W., Li, C., Wang, Q., Liu, A.-L., & Du, G.-H. (2016) · RSC Advances · doi:10.1039/c5ra23035g · Cited by 31
Metadata
- Authors
- Ananthan, S., Faaleolea, E. R., Goldman, R. C., Hobrath, J. V., Kwong, C. D., Laughon, B. E., Maddry, J. A., Mehta, A., Rasmussen, L., Reynolds, R. C., Secrist, J. A., Shindo, N., Showe, D. N., Sosa, M. I., Suling, W. J., & White, E. L.
- Venue
- Tuberculosis
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 89
- Issue
- 5
- Pages
- 334-353
- ISSN
- 1472-9792 (ISSN-L)
- OpenAlex
- W2115544494
- Cited by
- 279
- References
- 3
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- green
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- Ananthan, S., Faaleolea, E. R., Goldman, R. C., Hobrath, J. V., Kwong, C. D., Laughon, B. E., Maddry, J. A., Mehta, A., Rasmussen, L., Reynolds, R. C., Secrist, J. A., Shindo, N., Showe, D. N., Sosa, M. I., Suling, W. J., & White, E. L. (2009). High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv. Tuberculosis. https://doi.org/10.1016/j.tube.2009.05.008
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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.
