ReviewClinical and translational science2018
Assay Guidance Manual: Quantitative Biology and Pharmacology in Preclinical Drug Discovery.
Review in Clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 49 citations in OpenAlex.
- Assessing the impact of data harmonization on human liver microsomal stability prediction model performance.Results in chemistry · 2026Article
- ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability Prediction.Journal of chemical information and modeling · 2025Article
- Characterization and quantitation of baculoviral DNA in rAAV vectors produced in Sf9 cells.Molecular therapy. Methods & clinical development · 2025Article
- Development of high-throughput analytical methods for characterization and quantitation of rAAV genome integrity.Molecular therapy. Methods & clinical development · 2025Article
- Article
- Advanced Computational Techniques for Plasmonic Metasurfaces in the Detection of Neglected Infectious Diseases.Analytical chemistry · 2025Review
- Role of Data in Development and Application of Quantitative Systems Pharmacology Models.Handbook of experimental pharmacology · 2025Review
- Establishment of human post-vaccination SARS-CoV-2 standard reference sera.Journal of immunological methods · 2024Article
- Artificial Intelligence in ADME Property Prediction.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Standardization of zebrafish drug testing parameters for muscle diseases.Disease models & mechanisms · 2024Article
- Exploiting the Integrated Valorization ofInternational journal of molecular sciences · 2023Article
- Technical framework for enabling high quality measurements in new approach methodologies (NAMs).ALTEX · 2023Article
- Article
- The NCATS Assay Guidance Manual programme: advancing the practice and rigour of preclinical translation.Nature reviews. Drug discovery · 2022Article
- Preparation of screening assays for ADP-ribosyl readers and erasers using the GAP-tag as a binding probe.STAR protocols · 2022Article
- Ultra-high-throughput CaiScience · 2022Article
- A high-throughput screening RT-qPCR assay for quantifying surrogate markers of immunity from PBMCs.Frontiers in immunology · 2022Article
- Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints.Methods in molecular biology (Clifton, N.J.) · 2022Review
- A platform of assays for the discovery of anti-Zika small-molecules with activity in a 3D-bioprinted outer-blood-retina model.PloS one · 2022Article
- Screening of GPCR drugs for repurposing in breast cancer.Frontiers in pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
45 authors at 20 institutions in 6 countries.
Funding
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 preclinical development. Combined with a workshop/tutorial component, the overall goal of the AGM is to provide a valuable resource for training translational scientists.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.