| Title |
Assay Guidance Manual: Quantitative Biology and Pharmacology in Preclinical Drug Discovery
|
|---|---|
| Published in |
CTS: Clinical & Translational Science, July 2018
|
| DOI | 10.1111/cts.12570 |
| Pubmed ID | |
| Authors |
Nathan P. Coussens, G. Sitta Sittampalam, Rajarshi Guha, Kyle Brimacombe, Abigail Grossman, Thomas D. Y. Chung, Jeffrey R. Weidner, Terry Riss, O. Joseph Trask, Douglas Auld, Jayme L. Dahlin, Viswanath Devanaryan, Timothy L. Foley, James McGee, Steven D. Kahl, Stephen C. Kales, Michelle Arkin, Jonathan Baell, Bruce Bejcek, Neely Gal‐Edd, Marcie Glicksman, Joseph V. Haas, Philip W. Iversen, Marilu Hoeppner, Stacy Lathrop, Eric Sayers, Hanguan Liu, Bart Trawick, Julie McVey, Vance P. Lemmon, Zhuyin Li, Owen McManus, Lisa Minor, Andrew Napper, Mary Jo Wildey, Robert Pacifici, William W. Chin, Menghang Xia, Xin Xu, Madhu Lal‐Nag, Matthew D. Hall, Sam Michael, James Inglese, Anton Simeonov, Christopher P. Austin |
| Abstract |
The Assay Guidance Manual (AGM) is an eBook of best-practices for the design, development, and implementation of robust assays for early drug discovery. Initiated by pharmaceutical company scientists, the manual provides guidance for designing a "testing funnel" of assays to identify genuine hits using high-throughput screening (HTS) and advancing them through pre-clinical development. Combined with a workshop/tutorial component, the overall goal of the AGM is to provide a valuable resource for training translational scientists. This article is protected by copyright. All rights reserved. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 16% |
| Student > Master | 10 | 11% |
| Other | 9 | 10% |
| Researcher | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Other | 6 | 7% |
| Unknown | 33 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Materials Science | 4 | 5% |
| Engineering | 3 | 3% |
| Other | 16 | 18% |
| Unknown | 36 | 41% |