Literature DB >> 11933066

Contributions to the binding free energy of ligands to avidin and streptavidin.

Themis Lazaridis1, Artëm Masunov, Francois Gandolfo.   

Abstract

The free energy of binding of a ligand to a macromolecule is here formally decomposed into the (effective) energy of interaction, reorganization energy of the ligand and the macromolecule, conformational entropy change of the ligand and the macromolecule, and translational and rotational entropy loss of the ligand. Molecular dynamics simulations with implicit solvation are used to evaluate these contributions in the binding of biotin, biotin analogs, and two peptides to avidin and streptavidin. We find that the largest contribution opposing binding is the protein reorganization energy, which is calculated to be from 10 to 30 kcal/mol for the ligands considered here. The ligand reorganization energy is also significant for flexible ligands. The translational/rotational entropy is 4.5-6 kcal/mol at 1 M standard state and room temperature. The calculated binding free energies are in the correct range, but the large statistical uncertainty in the protein reorganization energy precludes precise predictions. For some complexes, the simulations show multiple binding modes, different from the one observed in the crystal structure. This finding is probably due to deficiencies in the force field but may also reflect considerable ligand flexibility. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11933066     DOI: 10.1002/prot.10086

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  38 in total

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Authors:  Michael S Lee; Mark A Olson
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4.  Calculating the free energy of association of transmembrane helices.

Authors:  Jinming Zhang; Themis Lazaridis
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5.  Absolute binding free energy calculations using molecular dynamics simulations with restraining potentials.

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Journal:  Biophys J       Date:  2006-07-14       Impact factor: 4.033

6.  Motifs for molecular recognition exploiting hydrophobic enclosure in protein-ligand binding.

Authors:  Tom Young; Robert Abel; Byungchan Kim; Bruce J Berne; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-04       Impact factor: 11.205

7.  Ligand configurational entropy and protein binding.

Authors:  Chia-en A Chang; Wei Chen; Michael K Gilson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

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9.  An improved method to predict the entropy term with the MM/PBSA approach.

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Journal:  J Comput Aided Mol Des       Date:  2008-09-10       Impact factor: 3.686

10.  Detailed potential of mean force studies on host-guest systems from the SAMPL6 challenge.

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Journal:  J Comput Aided Mol Des       Date:  2018-08-24       Impact factor: 3.686

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