Literature DB >> 33037549

SAMPL7 TrimerTrip host-guest binding affinities from extensive alchemical and end-point free energy calculations.

Zhe Huai1, Huaiyu Yang2, Xiao Li3, Zhaoxi Sun4.   

Abstract

The prediction of host-guest binding affinities with computational modelling is still a challenging task. In the 7th statistical assessment of the modeling of proteins and ligands (SAMPL) challenge, a new host named TrimerTrip was synthesized and the thermodynamic parameters of 16 structurally diverse guests binding to the host were characterized. In the TrimerTrip-guest challenge, only structures of the host and the guests are provided, which indicates that the predictions of both the binding poses and the binding affinities are under assessment. In this work, starting from the binding poses obtained from our previous enhanced sampling simulations in the configurational space, we perform extensive alchemical and end-point free energy calculations to calculate the host-guest binding affinities retrospectively. The alchemical predictions with two widely accepted charge schemes (i.e. AM1-BCC and RESP) are in good agreement with the experimental reference, while the end-point estimates perform poorly in reproducing the experimental binding affinities. Aside from the absolute value of the binding affinity, the rank of binding free energies is also crucial in drug design. Surprisingly, the end-point MM/PBSA method seems very powerful in reproducing the experimental rank of binding affinities. Although the length of our simulations is long and the intermediate spacing is dense, the convergence behavior is not very good, which may arise from the flexibility of the host molecule. Enhanced sampling techniques in the configurational space may be required to obtain fully converged sampling. Further, as the length of sampling in alchemical free energy calculations already achieves several hundred ns, performing direct simulations of the binding/unbinding event in the physical space could be more useful and insightful. More details about the binding pathway and mechanism could be obtained in this way. The nonequilibrium method could also be a nice choice if one insists to use the alchemical method, as the intermediate sampling is avoided to some extent.

Entities:  

Keywords:  Alchemical free energy calculation; End-point free energy methods; SAMPL7; TrimerTrip

Mesh:

Substances:

Year:  2020        PMID: 33037549     DOI: 10.1007/s10822-020-00351-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  63 in total

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5.  BAR-based optimum adaptive sampling regime for variance minimization in alchemical transformation: the nonequilibrium stratification.

Authors:  Xiaohui Wang; Xingzhao Tu; John Z H Zhang; Zhaoxi Sun
Journal:  Phys Chem Chem Phys       Date:  2018-01-17       Impact factor: 3.676

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Authors:  Andrea Rizzi; Steven Murkli; John N McNeill; Wei Yao; Matthew Sullivan; Michael K Gilson; Michael W Chiu; Lyle Isaacs; Bruce C Gibb; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2018-11-10       Impact factor: 3.686

7.  Comparison of the umbrella sampling and the double decoupling method in binding free energy predictions for SAMPL6 octa-acid host-guest challenges.

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Journal:  J Comput Aided Mol Des       Date:  2018-10-15       Impact factor: 3.686

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

Authors:  Lin Frank Song; Nupur Bansal; Zheng Zheng; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2018-08-24       Impact factor: 3.686

9.  Binding free energies in the SAMPL6 octa-acid host-guest challenge calculated with MM and QM methods.

Authors:  Octav Caldararu; Martin A Olsson; Majda Misini Ignjatović; Meiting Wang; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2018-09-10       Impact factor: 3.686

10.  SAMPL6 host-guest challenge: binding free energies via a multistep approach.

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Journal:  J Comput Aided Mol Des       Date:  2018-09-17       Impact factor: 3.686

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4.  DFT-D4 Insight into the Inclusion of Amphetamine and Methamphetamine in Cucurbit[7]uril: Energetic, Structural and Biosensing Properties.

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