Binding free energy prediction in strongly hydrophobic biomolecular systems

被引:21
|
作者
Charlier, Landry
Nespoulous, Claude
Fiorucci, Sebastien
Antonczaka, Serge
Golebiowski, Jerome
机构
[1] Univ Nice, CNRS, Fac Sci Nice, LCMBA,UMR 6001,UFR Sci, F-06108 Nice 2, France
[2] Univ Paris 11, NOPA BOG, UMR 1197, INRA, F-38352 Jouy En Josas, France
关键词
D O I
10.1039/b710186d
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We present a comparison of various computational approaches aiming at predicting the binding free energy in ligand-protein systems where the ligand is located within a highly hydrophobic cavity. The relative binding free energy between similar ligands is obtained by means of the thermodynamic integration (TI) method and compared to experimental data obtained through isothermal titration calorimetry measurements. The absolute free energy of binding prediction was obtained on a similar system (a pyrazine derivative bound to a lipocalin) by TI, potential of mean force (PMF) and also by means of the MMPBSA protocols. Although the TI protocol performs poorly either with an explicit or an implicit solvation scheme, the PMF calculation using an implicit solvation scheme leads to encouraging results, with a prediction of the binding affinity being 2 kcal mol(-1) lower than the experimental value. The use of an implicit solvation scheme appears to be well suited for the study of such hydrophobic systems, due to the lack of water molecules within the binding site.
引用
收藏
页码:5761 / 5771
页数:11
相关论文
共 50 条
  • [41] Free energy of hydrophilic and hydrophobic pores in lipid bilayers by free energy perturbation of a restraint
    Dixit, Mayank
    Lazaridis, Themis
    JOURNAL OF CHEMICAL PHYSICS, 2020, 153 (05):
  • [42] Hydrophobic complementarity: A dominant term in affinity and binding mode prediction
    Kuhn, Leslie A.
    Tonero, Matthew E.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2010, 240
  • [43] Dominant kinetic paths on biomolecular binding-folding energy landscape
    Wang, J
    Zhang, K
    Lu, HY
    Wang, EK
    PHYSICAL REVIEW LETTERS, 2006, 96 (16)
  • [44] Diffusion and single molecule dynamics on biomolecular interface binding energy landscape
    Wang, J
    CHEMICAL PHYSICS LETTERS, 2006, 418 (4-6) : 544 - 548
  • [45] Energy landscape theory, funnels, specificity, and optimal criterion of biomolecular binding
    Wang, J
    Verkhivker, GM
    PHYSICAL REVIEW LETTERS, 2003, 90 (18)
  • [46] Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction
    Wan, Shunzhou
    Bhati, Agastya P.
    Zasada, Stefan J.
    Coveney, Peter, V
    INTERFACE FOCUS, 2020, 10 (06)
  • [47] Prediction of trypsin/molecular fragment binding affinities by free energy decomposition and empirical scores
    Benson, Mark L.
    Faver, John C.
    Ucisik, Melek N.
    Dashti, Danial S.
    Zheng, Zheng
    Merz, Kenneth M., Jr.
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2012, 26 (05) : 647 - 659
  • [48] Ligand Binding Affinity Prediction for Membrane Proteins with Alchemical Free Energy Calculation Methods
    Zhang, Han
    Im, Wonpil
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2024, 64 (14) : 5671 - 5679
  • [49] Computational prediction of monosaccharide binding free energies to lectins with linear interaction energy models
    Mishra, Sushil Kumar
    Sund, Johan
    Aqvist, Johan
    Koca, Jaroslav
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2012, 33 (29) : 2340 - 2350
  • [50] Prediction of protein–ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations
    Julien Michel
    Jonathan W. Essex
    Journal of Computer-Aided Molecular Design, 2010, 24 : 639 - 658