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David Mobley

Publications and source records attributed to David Mobley.

2 recordsLinked to original sources

Multiple binding modes of ibuprofen in human serum albumin identified by absolute binding free energy calculations

Human serum albumin possesses multiple binding sites and transports a wide range of ligands that include the anti-inflammatory drug ibuprofen. A complete map of the binding sites of ibuprofen in albumin is difficult to obtain in traditional experiments, because of the structural adaptability of this protein in accommodating small ligands. In this work, we provide a set of predictions covering the geometry, affinity of binding and protonation state for the pharmaceutically most active form (S- isomer) of ibuprofen to albumin, by using absolute binding free energy calculations in combination with classical molecular dynamics (MD) simulations and molecular docking. The most favorable binding modes correctly reproduce several experimentally identified binding locations, which include the two Sudlows drug sites (DS2 and DS1) and the fatty acid binding sites 6 and 2 (FA6 and FA2). Previously unknown details of the binding conformations were revealed for some of them, and formerly undetected binding modes were found in other protein sites. The calculated binding affinities exhibit trends which seem to agree with the available experimental data, and drastically degrade when the ligand is modeled in a protonated (neutral) state, indicating that ibuprofen associates with albumin preferentially in its charged form. These findings provide a detailed description of the binding of ibuprofen, help to explain a wide range of results reported in the literature in the last decades, and demonstrate the possibility of using simulation methods to predict ligand binding to albumin.\n\nGraphical abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC=\"FIGDIR/small/068502_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (31K):\norg.highwire.dtl.DTLVardef@1b04be9org.highwire.dtl.DTLVardef@147e748org.highwire.dtl.DTLVardef@1a13803org.highwire.dtl.DTLVardef@164624f_HPS_FORMAT_FIGEXP M_FIG C_FIG FocusAlchemical free energy methods can identify favored binding modes of a ligand within a large protein with multiple binding sites\n\nHighlightsO_LIHuman serum albumin binds the anti-inflammatory drug ibuprofen in multiple sites\nC_LIO_LIAlchemical free energy calculations predicted favored binding modes of ibuprofen\nC_LIO_LIBound geometry, affinity and protonation state of the ligand were determined\nC_LIO_LISimulations identified a number of previously undetected binding sites for ibuprofen\nC_LIO_LIFree energy methods can be used to study large proteins with multiple binding sites\nC_LI

Biochemistry

Sensitivity in binding free energies due to protein reorganization

Tremendous recent improvements in computer hardware, coupled with advances in sampling techniques and force fields, are now allowing protein-ligand binding free energy calculations to be routinely used to aid pharmaceutical drug discovery projects. However, despite these recent innovations, there are still needs for further improvement in sampling algorithms to more adequately sample protein motion relevant to protein-ligand binding. Here, we report our work identifying and studying such clear and remaining needs in the apolar cavity of T4 Lysozyme L99A. In this study, we model recent experimental results that show the progressive opening of the binding pocket in response to a series of homologous ligands.1 Even while using enhanced sampling techniques, we demonstrate that the predicted relative binding free energies (RBFE) are sensitive to the initial protein conformational state. Particularly, we highlight the importance of sufficient sampling of protein conformational changes and demonstrate how inclusion of three key protein residues in the hot region of the FEP/REST simulation improves the sampling and resolves this sensitivity.

Biophysics