ArticleThe Journal of chemical physics2020
Improved description of ligand polarization enhances transferability of ion-ligand interactions.
Article in The Journal of chemical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Accurate density functional theory for noncovalent interactions in charged systems.Science advances · 2026Article
- Balancing Group I Monatomic Ion-Polar Compound Interactions for Condensed Phase Simulation in the Polarizable Drude Force Field.Journal of chemical theory and computation · 2024Article
- Polarizable AMOEBA Model for Simulating MgJournal of chemical information and modeling · 2024Article
- Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications.Journal of chemical theory and computation · 2023Article
- Inclusion of High-Field Target Data in AMOEBA's Calibration Improves Predictions of Protein-Ion Interactions.Journal of chemical information and modeling · 2022Article
- High-Dimensional Parameter Search Method to Determine Force Field Mixing Terms in Molecular Simulations.Langmuir : the ACS journal of surfaces and colloids · 2022Article
- The Influences of Sulphation, Salt Type, and Salt Concentration on the Structural Heterogeneity of Glycosaminoglycans.International journal of molecular sciences · 2021Article
- Article
- Methyl-Induced Polarization Destabilizes the Noncovalent Interactions of N-Methylated Lysines.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021Article
- Predictive QM/MM Modeling of Modulations in Protein-Protein Binding by Lysine Methylation.Journal of molecular biology · 2021Article
- Transferable interactions of LiThe Journal of chemical physics · 2020Article
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Authors and funding
5 authors.
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Abstract
The reliability of molecular mechanics (MM) simulations in describing biomolecular ion-driven processes depends on their ability to accurately model interactions of ions simultaneously with water and other biochemical groups. In these models, ion descriptors are calibrated against reference data on ion-water interactions, and it is then assumed that these descriptors will also satisfactorily describe interactions of ions with other biochemical ligands. The comparison against the experiment and high-level quantum mechanical data show that this transferability assumption can break down severely. One approach to improve transferability is to assign cross terms or separate sets of non-bonded descriptors for every distinct pair of ion type and its coordinating ligand. Here, we propose an alternative solution that targets an error-source directly and corrects misrepresented physics. In standard model development, ligand descriptors are never calibrated or benchmarked in the high electric fields present near ions. We demonstrate for a representative MM model that when the polarization descriptors of its ligands are improved to respond to both low and high fields, ligand interactions with ions also improve, and transferability errors reduce substantially. In our case, the overall transferability error reduces from 3.3 kcal/mol to 1.8 kcal/mol. These improvements are observed without compromising on the accuracy of low-field interactions of ligands in gas and condensed phases. Reference data for calibration and performance evaluation are taken from the experiment and also obtained systematically from "gold-standard" CCSD(T) in the complete basis set limit, followed by benchmarked vdW-inclusive density functional theory.
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