Successful prediction of substrate-binding pocket in SLC17 transporter sialin.

J Biol Chem

Centre National de la Recherche Scientifique, UMR 8601, Université Paris Descartes, Sorbonne Paris Cité, 45 rue des Saints-Pères, F-75006 Paris, France.

Published: March 2012

AI Article Synopsis

  • Secondary active transporters from the SLC17 protein family play key roles in synaptic transmission, metabolism, and kidney function, with links to various diseases, but lack adequate tools for studying their functions and correcting genetic defects.
  • Researchers utilized techniques like modeling and molecular docking to identify the substrate-binding site of sialin (SLC17A5), a transporter involved in sialic acid export and associated with inherited metabolic disorders.
  • They developed three-dimensional models and discovered a potent inhibitor through virtual screening, which could aid in developing therapeutic tools and enhancing our understanding of related transporters.

Article Abstract

Secondary active transporters from the SLC17 protein family are required for excitatory and purinergic synaptic transmission, sialic acid metabolism, and renal function, and several members are associated with inherited neurological or metabolic diseases. However, molecular tools to investigate their function or correct their genetic defects are limited or absent. Using structure-activity, homology modeling, molecular docking, and mutagenesis studies, we have located the substrate-binding site of sialin (SLC17A5), a lysosomal sialic acid exporter also recently implicated in exocytotic release of aspartate. Human sialin is defective in two inherited sialic acid storage diseases and is responsible for metabolic incorporation of the dietary nonhuman sialic acid N-glycolylneuraminic acid. We built cytosol-open and lumen-open three-dimensional models of sialin based on weak, but significant, sequence similarity with the glycerol-3-phosphate and fucose permeases from Escherichia coli, respectively. Molecular docking of 31 synthetic sialic acid analogues to both models was consistent with inhibition studies. Narrowing the sialic acid-binding site in the cytosol-open state by two phenylalanine to tyrosine mutations abrogated recognition of the most active analogue without impairing neuraminic acid transport. Moreover, a pilot virtual high-throughput screening of the cytosol-open model could identify a pseudopeptide competitive inhibitor showing >100-fold higher affinity than the natural substrate. This validated model of human sialin and sialin-guided models of other SLC17 transporters should pave the way for the identification of inhibitors, glycoengineering tools, pharmacological chaperones, and fluorescent false neurotransmitters targeted to these proteins.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322832PMC
http://dx.doi.org/10.1074/jbc.M111.313056DOI Listing

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