The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-Content Screening: A New Approach to Easing Key Bottlenecks in the Drug Discovery Process
Open accessAbstract
Recent improvements in target discovery and high throughput screening (HTS) have increased the pressure at key points along the drug discovery pipeline. High-content screening (HCS) was developed t...
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Citations
Cites
The Efficiency of Light-Directed Synthesis of DNA Arrays on Glass Substrates
McGall, G. H., Barone, A. D., Diggelmann, M., Fodor, S. P. A., Gentalen, E., & Ngo, N. (1997) · Journal of the American Chemical Society · doi:10.1021/ja964427a · Cited by 282
Cited by
Adaptation of High-Throughput Screening in Drug Discovery—Toxicological Screening Tests
Szymański, P., Markowicz, M., & Mikiciuk-Olasik, E. (2011) · International Journal of Molecular Sciences · doi:10.3390/ijms13010427 · Cited by 454
Analytical methods to assess nanoparticle toxicity
Marquis, B. J., Love, S. A., Braun, K. L., & Haynes, C. L. (2009) · The Analyst · doi:10.1039/b818082b · Cited by 406
High content screening applied to large-scale cell biology
Abraham, V (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2003.10.012 · Cited by 288
Metadata
- Authors
- Giuliano, K. A., DeBiasio, R. L., Dunlay, R. T., Gough, A., Volosky, J. M., Zock, J., Pavlakis, G. N., & Taylor, D. L.
- Venue
- SLAS Discovery
- Publisher
- Elsevier BV
- Published
- 1997-06
- Volume
- 2
- Issue
- 4
- Pages
- 249-259
- ISSN
- 2472-5552 (ISSN-L)
- OpenAlex
- W2083750996
- Cited by
- 229
- References
- 1
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Giuliano, K. A., DeBiasio, R. L., Dunlay, R. T., Gough, A., Volosky, J. M., Zock, J., Pavlakis, G. N., & Taylor, D. L. (1997). High-Content Screening: A New Approach to Easing Key Bottlenecks in the Drug Discovery Process. SLAS Discovery. https://doi.org/10.1177/108705719700200410
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.
