Sentence examples for structural class of compounds from inspiring English sources

Dr. Korth then tried dozens of drugs that belong to this structural class of compounds and found two that killed prion-infected cells.

The α1d pharmacophore was based primarily on one structural class of compounds, but has good predictivity for a heterogeneous test set.

The development, in each structural class, of compounds that have advanced to late-stage clinical trials is summarized in this review.

The present work further demonstrates the ability of this structural class of compounds to act as DASIs.

This structural class of compound can prove to be useful for the design and development of potent anticonvulsant agents.

Various structural classes of compounds have been synthesized and tested in vitro for activity against transporters of three monoamine signaling molecules: noradrenaline (NET); serotonin (SERT) and dopamine (DAT).

One of modestly researched therapeutic targets in the field of antibacterial discovery is DNA gyrase B. In the present work we synthesized a focused library of potential DNA gyrase B inhibitors composed of two key pharmacophoric moieties linked by three types of sp3-rich linkers to obtain three structural classes of compounds.

Various structural classes of compounds have been identified as effective ingredients.

The discovery of multiple structural classes of compounds that modulate gamma-secretase activity, instead of inhibiting it, offers the potential promise of avoiding the mechanism-based adverse events observed with gamma-secretase inhibitors.

Human threshold values or TTC values have been determined for structural classes of compounds using probabilistic approaches based on databases of toxicological testing for both cancer and non-cancer endpoints on a wide variety of chemical structures (EFSA 2012).

The fact that different ERbeta-selective agonists might elicit different biological results points to the need of a careful evaluation of diverse structural classes of compounds in various disease models to identify the optimal ERbeta agonist in each condition.