ArticleJournal of chemical theory and computation2021
TIES 20: Relative Binding Free Energy with a Flexible Superimposition Algorithm and Partial Ring Morphing.
Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Large-Scale Collaborative Assessment of Binding Free Energy Calculations for Drug Discovery Using OpenFE.Journal of chemical information and modeling · 2026Article
- Uncertainty Quantification forChemical reviews · 2026Review
- Relative Binding Free Energy Estimation of Congeneric Ligands and Macromolecular Mutants with the Alchemical Transfer Method with Coordinate Swapping.Journal of chemical information and modeling · 2025Article
- Equilibrium and Nonequilibrium Ensemble Methods for Accurate, Precise and Reproducible Absolute Binding Free Energy Calculations.Journal of chemical theory and computation · 2025Article
- Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations.The journal of physical chemistry. B · 2024Article
- What to Make of Zero: Resolving the Statistical Noise from Conformational Reorganization in Alchemical Binding Free Energy Estimates with Metadynamics Sampling.Journal of chemical theory and computation · 2024Article
- Alchemical Free Energy Workflows for the Computation of Protein-Ligand Binding Affinities.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Ensemble-Based Approaches Ensure Reliability and Reproducibility.Journal of chemical information and modeling · 2023Article
- Comparison of Equilibrium and Nonequilibrium Approaches for Relative Binding Free Energy Predictions.Journal of chemical theory and computation · 2023Article
- Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular Series.Journal of chemical information and modeling · 2023Article
- TIES 2.0: A Dual-Topology Open Source Relative Binding Free Energy Builder with Web Portal.Journal of chemical information and modeling · 2023Article
- The performance of ensemble-based free energy protocols in computing binding affinities to ROS1 kinase.Scientific reports · 2022Article
- Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.Journal of chemical theory and computation · 2022Article
- Ensemble Simulations and Experimental Free Energy Distributions: Evaluation and Characterization of Isoxazole Amides as SMYD3 Inhibitors.Journal of chemical information and modeling · 2022Article
- Large Scale Study of Ligand-Protein Relative Binding Free Energy Calculations: Actionable Predictions from Statistically Robust Protocols.Journal of chemical theory and computation · 2022Article
- Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- and physics-based simulations on high-performance computers.Interface focus · 2021Article
- The effect of protein mutations on drug binding suggests ensuing personalised drug selection.Scientific reports · 2021Article
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4 authors.
Funding
Abstract
The TIES (Thermodynamic Integration with Enhanced Sampling) protocol is a formally exact alchemical approach in computational chemistry to the calculation of relative binding free energies. The validity of TIES relies on the correctness of matching atoms across compared pairs of ligands, laying the foundation for the transformation along an alchemical pathway. We implement a flexible topology superimposition algorithm which uses an exhaustive joint-traversal for computing the largest common component(s). The algorithm is employed to enable matching and morphing of partial rings in the TIES protocol along with a validation study using 55 transformations and five different proteins from our previous work. We find that TIES 20 with the RESP charge system, using the new superimposition algorithm, reproduces the previous results with mean unsigned error of 0.75 kcal/mol with respect to the experimental data. Enabling the morphing of partial rings decreases the size of the alchemical region in the dual-topology transformations resulting in a significant improvement in the prediction precision. We find that increasing the ensemble size from 5 to 20 replicas per λ window only has a minimal impact on the accuracy. However, the non-normal nature of the relative free energy distributions underscores the importance of ensemble simulation. We further compare the results with the AM1-BCC charge system and show that it improves agreement with the experimental data by slightly over 10%. This improvement is partly due to AM1-BCC affecting only the charges of the atoms local to the mutation, which translates to even fewer morphed atoms, consequently reducing issues with sampling and therefore ensemble averaging. TIES 20, in conjunction with the enablement of ring morphing, reduces the size of the alchemical region and significantly improves the precision of the predicted free energies.
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