Accurate Prediction of Ligand Affinities for a Proton-Dependent Oligopeptide Transporter. Issue 2 (18th February 2016)
- Record Type:
- Journal Article
- Title:
- Accurate Prediction of Ligand Affinities for a Proton-Dependent Oligopeptide Transporter. Issue 2 (18th February 2016)
- Main Title:
- Accurate Prediction of Ligand Affinities for a Proton-Dependent Oligopeptide Transporter
- Authors:
- Samsudin, Firdaus
Parker, Joanne L.
Sansom, Mark S.P.
Newstead, Simon
Fowler, Philip W. - Abstract:
- Summary: Membrane transporters are critical modulators of drug pharmacokinetics, efficacy, and safety. One example is the proton-dependent oligopeptide transporter PepT1, also known as SLC15A1, which is responsible for the uptake of the β-lactam antibiotics and various peptide-based prodrugs. In this study, we modeled the binding of various peptides to a bacterial homolog, PepTSt, and evaluated a range of computational methods for predicting the free energy of binding. Our results show that a hybrid approach (endpoint methods to classify peptides into good and poor binders and a theoretically exact method for refinement) is able to accurately predict affinities, which we validated using proteoliposome transport assays. Applying the method to a homology model of PepT1 suggests that the approach requires a high-quality structure to be accurate. Our study provides a blueprint for extending these computational methodologies to other pharmaceutically important transporter families. Graphical Abstract: Highlights: A hierarchical computational approach determines ligand affinities to transporters Lysine-containing dipeptides proposed to bind vertically like a tripeptide Experimental structures are vital for the accurate prediction of affinities A model of prodrug interactions to human PepT1 is suggested Abstract : Samsudin et al. demonstrate how a hierarchical free energy method can predict the affinities of ligands for a peptide transporter protein. This approach may be used toSummary: Membrane transporters are critical modulators of drug pharmacokinetics, efficacy, and safety. One example is the proton-dependent oligopeptide transporter PepT1, also known as SLC15A1, which is responsible for the uptake of the β-lactam antibiotics and various peptide-based prodrugs. In this study, we modeled the binding of various peptides to a bacterial homolog, PepTSt, and evaluated a range of computational methods for predicting the free energy of binding. Our results show that a hybrid approach (endpoint methods to classify peptides into good and poor binders and a theoretically exact method for refinement) is able to accurately predict affinities, which we validated using proteoliposome transport assays. Applying the method to a homology model of PepT1 suggests that the approach requires a high-quality structure to be accurate. Our study provides a blueprint for extending these computational methodologies to other pharmaceutically important transporter families. Graphical Abstract: Highlights: A hierarchical computational approach determines ligand affinities to transporters Lysine-containing dipeptides proposed to bind vertically like a tripeptide Experimental structures are vital for the accurate prediction of affinities A model of prodrug interactions to human PepT1 is suggested Abstract : Samsudin et al. demonstrate how a hierarchical free energy method can predict the affinities of ligands for a peptide transporter protein. This approach may be used to optimize drug-transporter interactions. … (more)
- Is Part Of:
- Cell chemical biology. Volume 23:Issue 2(2016)
- Journal:
- Cell chemical biology
- Issue:
- Volume 23:Issue 2(2016)
- Issue Display:
- Volume 23, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 23
- Issue:
- 2
- Issue Sort Value:
- 2016-0023-0002-0000
- Page Start:
- 299
- Page End:
- 309
- Publication Date:
- 2016-02-18
- Subjects:
- Biochemistry -- Periodicals
572.05 - Journal URLs:
- http://www.cell.com/cell-chemical-biology/home ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.chembiol.2015.11.015 ↗
- Languages:
- English
- ISSNs:
- 2451-9456
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3097.733000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14474.xml