AI Article Synopsis

  • Methods that identify protein binding hotspots are valuable for assessing drug targets and guiding ligand discovery.
  • Fragment Hotspot Maps utilizes interaction data from the Cambridge Structural Database to pinpoint these hotspots using small chemical fragments, aiding in drug design.
  • The introduction of the Hotspots API enhances accessibility to this algorithm, allowing users to programmatically access its features and streamline analysis, with practical applications demonstrated in protein docking workflows.

Article Abstract

Methods that survey protein surfaces for binding hotspots can help to evaluate target tractability and guide exploration of potential ligand binding regions. Fragment Hotspot Maps builds upon interaction data mined from the CSD (Cambridge Structural Database) and exploits the idea of identifying hotspots using small chemical fragments, which is now widely used to design new drug leads. Prior to this publication, Fragment Hotspot Maps was only publicly available through a web application. To increase the accessibility of this algorithm we present the Hotspots API (application programming interface), a toolkit that offers programmatic access to the core Fragment Hotspot Maps algorithm, thereby facilitating the interpretation and application of the analysis. To demonstrate the package's utility, we present a workflow which automatically derives protein hydrogen-bond constraints for molecular docking with GOLD. The Hotspots API is available from https://github.com/prcurran/hotspots under the MIT license and is dependent upon the commercial CSD Python API.

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Source
http://dx.doi.org/10.1021/acs.jcim.9b00996DOI Listing

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