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Determinants of ligand binding affinity and cooperativity at the GLUT1 endofacial site.

ABSTRACT: Cytochalasin B (CB) and forskolin (FSK) inhibit GLUT1-mediated sugar transport in red cells by binding at or close to the GLUT1 endofacial sugar binding site. Paradoxically, very low concentrations of each of these inhibitors produce a modest stimulation of sugar transport [ Cloherty, E. K., Levine, K. B., and Carruthers, A. ((2001)) The red blood cell glucose transporter presents multiple, nucleotide-sensitive sugar exit sites. Biochemistry 40 ((51)) 15549-15561]. This result is consistent with the hypothesis that the glucose transporter contains multiple, interacting, endofacial binding sites for CB and FSK. The present study tests this hypothesis directly and, by screening a library of cytochalasin and forskolin analogues, asks what structural features of endofacial site ligands determine binding site affinity and cooperativity. Like CB, FSK competitively inhibits exchange 3-O-methylglucose transport (sugar uptake in cells containing intracellular sugar) but noncompetitively inhibits sugar uptake into cells lacking sugar at 4 °C. This refutes the hypothesis that FSK binds at GLUT1 endofacial and exofacial sugar binding sites. Some forskolin derivatives and cytochalasins inhibit equilibrium [(3)H]-CB binding to red cell membranes depleted of peripheral proteins at 4 °C. Others produce a moderate stimulation of [(3)H]-CB binding when introduced at low concentrations but inhibit binding as their concentration is increased. Yet other analogues modestly stimulate [(3)H]-CB binding at all inhibitor concentrations applied. These findings are explained by a carrier that presents at least two interacting endofacial binding sites for CB or FSK. We discuss this result within the context of models for GLUT1-mediated sugar transport and GLUT1 quaternary structure, and we evaluate the major determinants of ligand binding affinity and cooperativity.

SUBMITTER: Robichaud T

PROVIDER: S-EPMC3465710 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Determinants of ligand binding affinity and cooperativity at the GLUT1 endofacial site.

Robichaud Trista T Appleyard Antony N AN Herbert Richard B RB Henderson Peter J F PJ Carruthers Anthony A

Biochemistry 20110325 15

Cytochalasin B (CB) and forskolin (FSK) inhibit GLUT1-mediated sugar transport in red cells by binding at or close to the GLUT1 endofacial sugar binding site. Paradoxically, very low concentrations of each of these inhibitors produce a modest stimulation of sugar transport [ Cloherty, E. K., Levine, K. B., and Carruthers, A. ((2001)) The red blood cell glucose transporter presents multiple, nucleotide-sensitive sugar exit sites. Biochemistry 40 ((51)) 15549-15561]. This result is consistent with ...[more]

PMID: 21384913

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Project description:Protein mutations, especially those which occur in the binding site, play an important role in inter-individual drug response and may alter binding affinity and thus impact the drug's efficacy and side effects. Unfortunately, large-scale experimental screening of ligand-binding against protein variants is still time-consuming and expensive. Alternatively, in silico approaches can play a role in guiding those experiments. Methods ranging from computationally cheaper machine learning (ML) to the more expensive molecular dynamics have been applied to accurately predict the mutation effects. However, these effects have been mostly studied on limited and small datasets, while ideally a large dataset of binding affinity changes due to binding site mutations is needed. In this work, we used the PSnpBind database with six hundred thousand docking experiments to train a machine learning model predicting protein-ligand binding affinity for both wild-type proteins and their variants with a single-point mutation in the binding site. A numerical representation of the protein, binding site, mutation, and ligand information was encoded using 256 features, half of them were manually selected based on domain knowledge. A machine learning approach composed of two regression models is proposed, the first predicting wild-type protein-ligand binding affinity while the second predicting the mutated protein-ligand binding affinity. The best performing models reported an RMSE value within 0.5 [Formula: see text] 0.6 kcal/mol-1 on an independent test set with an R2 value of 0.87 [Formula: see text] 0.90. We report an improvement in the prediction performance compared to several reported models developed for protein-ligand binding affinity prediction. The obtained models can be used as a complementary method in early-stage drug discovery. They can be applied to rapidly obtain a better overview of the ligand binding affinity changes across protein variants carried by people in the population and narrow down the search space where more time-demanding methods can be used to identify potential leads that achieve a better affinity for all protein variants.

Dataset Information

Determinants of ligand binding affinity and cooperativity at the GLUT1 endofacial site.

Publications

Determinants of ligand binding affinity and cooperativity at the GLUT1 endofacial site.

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