Literature DB >> 33905257

Challenges Encountered Applying Equilibrium and Nonequilibrium Binding Free Energy Calculations.

Hannah M Baumann1, Vytautas Gapsys2, Bert L de Groot2, David L Mobley1,3.   

Abstract

Binding free energy calculations have become increasingly valuable to drive decision making in drug discovery projects. However, among other issues, inadequate sampling can reduce accuracy, limiting the value of the technique. In this paper, we apply absolute binding free energy calculations to ligands binding to T4 lysozyme L99A and HSP90 using equilibrium and nonequilibrium approaches. We highlight sampling problems encountered in these systems, such as slow side chain rearrangements and slow changes of water placement upon ligand binding. These same types of challenges are also likely to show up in other protein-ligand systems, and we propose some strategies to diagnose and test for such problems in alchemical free energy calculations. We also explore similarities and differences in how the equilibrium and the nonequilibrium approaches handle these problems. Our results show the large amount of work still to be done to make free energy calculations robust and reliable and provide insight for future research in this area.

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Year:  2021        PMID: 33905257      PMCID: PMC8240641          DOI: 10.1021/acs.jpcb.0c10263

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  56 in total

1.  Calculation of Standard Binding Free Energies:  Aromatic Molecules in the T4 Lysozyme L99A Mutant.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2006-09       Impact factor: 6.006

2.  On the use of orientational restraints and symmetry corrections in alchemical free energy calculations.

Authors:  David L Mobley; John D Chodera; Ken A Dill
Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

3.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

4.  Statistically optimal analysis of samples from multiple equilibrium states.

Authors:  Michael R Shirts; John D Chodera
Journal:  J Chem Phys       Date:  2008-09-28       Impact factor: 3.488

5.  Free Energy Methods in Drug Design: Prospects of "Alchemical Perturbation" in Medicinal Chemistry.

Authors:  Billy J Williams-Noonan; Elizabeth Yuriev; David K Chalmers
Journal:  J Med Chem       Date:  2017-08-04       Impact factor: 7.446

6.  Exploring Novel Directions in Free Energy Calculations.

Authors:  Kira A Armacost; Sereina Riniker; Zoe Cournia
Journal:  J Chem Inf Model       Date:  2020-11-23       Impact factor: 4.956

7.  Guidelines for the analysis of free energy calculations.

Authors:  Pavel V Klimovich; Michael R Shirts; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2015-03-26       Impact factor: 3.686

Review 8.  Modeling conformational transitions in kinases by molecular dynamics simulations: achievements, difficulties, and open challenges.

Authors:  Marco D'Abramo; Neva Besker; Giovanni Chillemi; Alessandro Grottesi
Journal:  Front Genet       Date:  2014-05-13       Impact factor: 4.599

9.  Predictions of Ligand Selectivity from Absolute Binding Free Energy Calculations.

Authors:  Matteo Aldeghi; Alexander Heifetz; Michael J Bodkin; Stefan Knapp; Philip C Biggin
Journal:  J Am Chem Soc       Date:  2017-01-09       Impact factor: 15.419

10.  pmx: Automated protein structure and topology generation for alchemical perturbations.

Authors:  Vytautas Gapsys; Servaas Michielssens; Daniel Seeliger; Bert L de Groot
Journal:  J Comput Chem       Date:  2014-12-08       Impact factor: 3.376

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  7 in total

1.  Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.

Authors:  Alexander D Wade; Agastya P Bhati; Shunzhou Wan; Peter V Coveney
Journal:  J Chem Theory Comput       Date:  2022-05-24       Impact factor: 6.578

2.  Assigning confidence to molecular property prediction.

Authors:  AkshatKumar Nigam; Robert Pollice; Matthew F D Hurley; Riley J Hickman; Matteo Aldeghi; Naruki Yoshikawa; Seyone Chithrananda; Vincent A Voelz; Alán Aspuru-Guzik
Journal:  Expert Opin Drug Discov       Date:  2021-06-15       Impact factor: 7.050

3.  On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge.

Authors:  Piero Procacci; Marina Macchiagodena
Journal:  J Comput Aided Mol Des       Date:  2021-10-09       Impact factor: 3.686

4.  GROMACS in the Cloud: A Global Supercomputer to Speed Up Alchemical Drug Design.

Authors:  Carsten Kutzner; Christian Kniep; Austin Cherian; Ludvig Nordstrom; Helmut Grubmüller; Bert L de Groot; Vytautas Gapsys
Journal:  J Chem Inf Model       Date:  2022-03-30       Impact factor: 4.956

5.  Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.

Authors:  Miłosz Wieczór; Vito Genna; Juan Aranda; Rosa M Badia; Josep Lluís Gelpí; Vytautas Gapsys; Bert L de Groot; Erik Lindahl; Martí Municoy; Adam Hospital; Modesto Orozco
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2022-05-30

6.  Comparative Interaction Studies of Quercetin with 2-Hydroxyl-propyl-β-cyclodextrin and 2,6-Methylated-β-cyclodextrin.

Authors:  Vasiliki Vakali; Michail Papadourakis; Nikitas Georgiou; Nikoletta Zoupanou; Dimitrios A Diamantis; Uroš Javornik; Paraskevi Papakyriakopoulou; Janez Plavec; Georgia Valsami; Andreas G Tzakos; Demeter Tzeli; Zoe Cournia; Thomas Mauromoustakos
Journal:  Molecules       Date:  2022-08-26       Impact factor: 4.927

7.  Does Hamiltonian Replica Exchange via Lambda-Hopping Enhance the Sampling in Alchemical Free Energy Calculations?

Authors:  Piero Procacci
Journal:  Molecules       Date:  2022-07-11       Impact factor: 4.927

  7 in total

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