Lesson plan

ASD (database)

Allosteric Database (ASD) provides a central resource for the display, search, and analysis of the structure, function, and related annotation for allosteric molecules. Allostery is the most direct and efficient way for the regulation of biological macromolecule function induced by the binding of a ligand at an allosteric site topographically distinct from the orthosteric site. Due to the inherent high receptor selectivity and lower target-based toxicity, it is also expected to play a more positive role in drug discovery and bioengineering, leading to rapid growth in allosteric findings. As of 2023 , ASD contains allosteric proteins from 425 species and modulators in three main categories (activators, inhibitors, and regulators). Each protein is annotated with a detailed description of allostery, biological process, and related diseases, and each modulator with binding affinity, physicochemical properties, and therapeutic area. Integrating information from allosteric proteins in ASD should allow the prediction of allostery for unknown proteins, eventually making them ideal targets for experimental validation. In addition, modulators curated in ASD can be used to investigate potent allosteric targets for the query compound, and also help chemists implement structure modifications for novel allosteric drug designs.…

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Article summary

Allosteric Database (ASD) provides a central resource for the display, search, and analysis of the structure, function, and related annotation for allosteric molecules. Allostery is the most direct and efficient way for the regulation of biological macromolecule function induced by the binding of a ligand at an allosteric site topographically distinct from the orthosteric site. Due to the inherent high receptor selectivity and lower target-based toxicity, it is also expected to play a more positive role in drug discovery and bioengineering, leading to rapid growth in allosteric findings. As of 2023 , ASD contains allosteric proteins from 425 species and modulators in three main categories (activators, inhibitors, and regulators). Each protein is annotated with a detailed description of allostery, biological process, and related diseases, and each modulator with binding affinity, physicochemical properties, and therapeutic area. Integrating information from allosteric proteins in ASD should allow the prediction of allostery for unknown proteins, eventually making them ideal targets for experimental validation. In addition, modulators curated in ASD can be used to investigate potent allosteric targets for the query compound, and also help chemists implement structure modifications for novel allosteric drug designs.…

Key claims

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Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  3. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

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Key claims and bibliography are generated from the same tracked claims and sources as the article page.