1,721,251 research outputs found

    Metabolites: structure determination and prediction

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    Structure determination and prediction of metabolites are essential to modern drug discovery. Experimental investigation of the metabolism of drug molecules is particularly resource demanding and therefore computational methods are of considerable interest to complement experimental approaches

    FragExplorer: GRID-Based Fragment Growing and Replacement

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    Understanding which chemical modifications can be made to known ligands is a key aspect of structure-based drug design and one that was pioneered by the software GRID. We developed FragExplorer with the explicit aim of showing GRID users which fragments would best match the GRID molecular interaction fields in a protein binding site, given a bound ligand as a starting point. Users can grow ligands or replace existing moieties; the R-Group Exploration mode identifies all potential R-Groups and searches for replacements automatically; the Scaffold Exploration mode does the same for all potential scaffolds. For a ligand with three points of variation, R-Group Exploration will typically explore a chemical space of 1016 potential molecules; including Scaffold Exploration increases this to 1022. FragExplorer was designed to be integrated within an interactive 3D Editor/Designer; therefore, the speed of computation was an important consideration; a typical fragment search takes 20 seconds. In a fragment reprediction test, FragExplorer demonstrates an overall fragment retrieval rate of 55%, increasing to 69% for smaller fragments. At a 90% substructural match, the retrieval rate increases to ∼80%. We also show how the approach could have been used to hop from olmesartan to azilsartan or to optimize a p38 MAP kinase lead to a compound that bears similarity to a known nanomolar inhibitor

    Molecular fields in drug discovery: getting old or reaching maturity?

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    With GRID first published 23 years ago, and CoMFA 20 years ago, the two most widely known methods that apply molecular fields to drug discovery are now into their third decade. Are molecular-field-based methods still applicable to modern drug discovery? Are they old and outdated? Or are they maturing into their full potential
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