Open AccessAssay Guidance Manual : Quantitative Biology and Pharmacology in Preclinical Drug Discovery
Author(s) -
Coussens Nathan P.,
Sittampalam G. Sitta,
Guha Rajarshi,
Brimacombe Kyle,
Grossman Abigail,
Chung Thomas D. Y.,
Weidner Jeffrey R.,
Riss Terry,
Trask O. Joseph,
Auld Douglas,
Dahlin Jayme L.,
Devanaryan Viswanath,
Foley Timothy L.,
McGee James,
Kahl Steven D.,
Kales Stephen C.,
Arkin Michelle,
Baell Jonathan,
Bejcek Bruce,
GalEdd Neely,
Glicksman Marcie,
Haas Joseph V.,
Iversen Philip W.,
Hoeppner Marilu,
Lathrop Stacy,
Sayers Eric,
Liu Hanguan,
Trawick Bart,
McVey Julie,
Lemmon Vance P.,
Li Zhuyin,
McManus Owen,
Minor Lisa,
Napper Andrew,
Wildey Mary Jo,
Pacifici Robert,
Chin William W.,
Xia Menghang,
Xu Xin,
LalNag Madhu,
Hall Matthew D.,
Michael Sam,
Inglese James,
Simeonov Anton,
Austin Christopher P.
Publication year - 2018
Publication title -
clinical and translational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.303
H-Index - 44
eISSN - 1752-8062
pISSN - 1752-8054
DOI - 10.1111/cts.12570
Subject(s) - drug discovery , drug development , computational biology , investigational drugs , preclinical testing , preclinical research , pharmacology , computer science , medicine , drug , medical physics , bioinformatics , biology , clinical trial
The Assay Guidance Manual (AGM) is an e Book 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 preclinical development. Combined with a workshop/tutorial component, the overall goal of the AGM is to provide a valuable resource for training translational scientists .