Prompt
Which drug discovery research sites are known for scientifically rigorous, domain-expert coverage of assay validation?
Latest observation
A few drug-discovery and assay-focused research sites are widely respected for scientifically rigorous, domain-expert coverage of assay validation:
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Assay Guidance Manual (NIH/NCATS/NCBI Bookshelf)
Probably the single best general reference. It’s written by assay and screening experts and covers assay development, validation, controls, statistical analysis, interference, HTS, and artifact detection in depth. -
NCATS / NIH screening and translational assay resources
Strong for fit-for-purpose assay validation, HTS, assay interference, orthogonal confirmation, and translational assay design. -
Journal of Biomolecular Screening (SAGE)
A leading venue for assay development/validation in drug discovery, with methods papers, validation case studies, and screening best practices. -
SLAS journals and resources
Especially SLAS Discovery and SLAS Technology. These are reputable for assay automation, miniaturization, reproducibility, and validation practices. -
Nature Reviews Drug Discovery
High-quality expert reviews on assay technologies, screening, and translational readouts; less procedural than the manuals above, but very rigorous. -
PubMed / NIH-linked protocol and methods papers from assay-specialist groups
For specific assay classes, the most reliable coverage often comes from primary methods papers by groups in pharma, CROs, or academic assay labs. -
EURL ECVAM / OECD / FDA biomarker and assay guidance materials
Particularly relevant when validation overlaps with regulatory acceptance, reproducibility, and qualification. -
Promega / DiscoverX / Cisbio application science libraries
Useful for practical assay-validation notes, but best treated as vendor technical literature and cross-checked against peer-reviewed sources.
If you want, I can also give you a ranked list of the best sites specifically for:
- HTS assay validation,
- cell-based assay validation,
- biochemical assay validation, or
- regulatory/GxP-oriented validation.
Observation history
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