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What features of ligands are relevant to the opening of cryptic pockets in drug targets?

Informatics 9:8 (2022)
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Open Access Gold
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Small-molecule drug design aims to identify inhibitors that can specifically bind to a functionally important region on the target, i.e., an active site of an enzyme. Identification of potential binding pockets is typically based on static three-dimensional structures. However, small molecules may induce and select a dynamic binding pocket that is not visible in the apo protein, which presents a well-recognized challenge for structure-based drug discovery. Here, we assessed whether it is possible to identify features in molecules, which we refer to as inducers, that can induce the opening of cryptic pockets. The volume change between apo and bound protein conformations was used as a metric to differentiate chemical features in inducers vs. non-inducers. Based on the dataset of holo-apo pairs, classification models were built to determine an optimum threshold. The model analysis suggested that inducers preferred to be more hydrophobic and aromatic. The impact of sulfur was ambiguous, while phosphorus and halogen atoms were overrepresented in inducers. The fragment analysis showed that small changes in the structures of molecules can strongly affect the potential to induce a cryptic pocket. This analysis and developed model can be used to design inducers that can potentially open cryptic pockets for undruggable proteins.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Inducer ; Ligand ; Machine Learning ; Pocket Change ; Pocket Volume
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2227-9709
e-ISSN 2227-9709
Journal Informatics
Quellenangaben Volume: 9, Issue: 1, Pages: , Article Number: 8 Supplement: ,
Publisher MDPI
Reviewing status Peer reviewed
POF-Topic(s) 30203 - Molecular Targets and Therapies
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503000-001
Grants China Scholarship Council
Scopus ID 85124371166
Erfassungsdatum 2022-06-24