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Positive Impact of Dragonfly™ Discovery in Biochemical Assay

Zobio

Biochemical assays are commonly used to assess how organic compounds impact the activity of a protein of interest (POI). Het bericht Positive Impact of Dragonfly™ Discovery in Biochemical Assay verscheen eerst op ZoBio - Drug Discovery Technology.

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Top 10 Drug Discovery Trends at the Top 20 Pharma

PerkinElmer

Industry leaders reveal how high throughput screening is changing in R&D What do you think are the major trends in drug discovery R&D? Biochemical assays have the highest success rate. Here, we summarize the top 10 survey findings on drug discovery trends for the top 20 Pharma leaders in R&D. Think again.

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Variability in biological activity measurements reported in the drug discovery literature

Molecular Design

As is usual for blog posts here at Molecular Design , quoted text is indented with my comments enclosed in square brackets in red italics. These include the following: Different assay conditions: these can include different buffers, experimental pH, temperature, and duration.

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SARS-CoV-2 main protease. Crowdsourcing, peptidomimetics and fragments

Molecular Design

Satchel Paige (1906-1982) The COVID Moonshot and OSC19 are examples of what are sometimes called crowdsourced or open source approaches to drug discovery. Open source drug discovery originated with OSDD in India and it should be noted that the approach has also been pioneered for malaria by OSM.

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Accelerating Medicinal Chemistry Cycle Times Through Cloud-Accessible Smart Automated Labs - A Preview of Strateos’ Presentation at SLAS 2022

The Strateos Blog: Drug Discovery

However, fractured workflows, operational bottlenecks and non-standardized analog data capture has resulted in high cost and slow cycle times that cannot support the urgent and growing demand for new drug discoveries. Strateos’ multi-facility laboratory located in San Diego and Menlo Park, California, which collectively span 14K sq.

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We Need Better Benchmarks for Machine Learning in Drug Discovery

Practical Cheminformatics

Most papers describing new methods for machine learning (ML) in drug discovery report some sort of benchmark comparing their algorithm and/or molecular representation with the current state of the art. Recent blog posts from Greg Landrum examined the impact of combining IC50 and Ki data from different assays.

Drugs 84
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Are fused tetrahydroquinolines interfering with your assay?

Molecular Design

One criticism that can be made of both BH2010 (original PAINS study) and BW2014 (Chemical con artists foil drug discovery) is that neither study considers the differing implications for drug discovery of these two types of nuisance behavior. In contrast to interference with read-out, an undesirable MoA is a show-stopper.