ArticleBioMed research international2015
Computational Analysis of the Binding Specificities of PH Domains.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Tetrylpyamethrazine alleviates hepatic fibrosis induced by experimental mansonic schistosomiasis.Inflammopharmacology · 2025Article
- AnEuropean journal of breast health · 2022Article
- BackboneBiomolecular NMR assignments · 2022Article
- Btk Inhibitors: A Medicinal Chemistry and Drug Delivery Perspective.International journal of molecular sciences · 2021Review
- Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics.Chemical science · 2021Article
- Lipid transfer proteins and instructive regulation of lipid kinase activities: Implications for inositol lipid signaling and disease.Advances in biological regulation · 2020Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleckstrin homology (PH) domains share low sequence identities but extremely conserved structures. They have been found in many proteins for cellular signal-dependent membrane targeting by binding inositol phosphates to perform different physiological functions. In order to understand the sequence-structure relationship and binding specificities of PH domains, quantum mechanical (QM) calculations and sequence-based combined with structure-based binding analysis were employed in our research. In the structural aspect, the binding specificities were shown to correlate with the hydropathy characteristics of PH domains and electrostatic properties of the bound inositol phosphates. By comparing these structure properties with sequence-based profiles of physicochemical properties, PH domains can be classified into four functional subgroups according to their binding specificities and affinities to inositol phosphates. The method not only provides a simple and practical paradigm to predict binding specificities for functional genomic research but also gives new insight into the understanding of the basis of diseases with respect to PH domain structures.
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