ArticleJournal of chemical information and modeling2024
Benchmarking Water Models in Molecular Dynamics of Protein-Glycosaminoglycan Complexes.
Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Computational Insights into SIRT1: Elucidating Mutational Impact on SIRT1-RECQL4 Structural Dynamics.Cell biochemistry and biophysics · 2026Article
- Solvent Models and Charge Scaling: Benchmarks for Molecular Dynamics of Glycosaminoglycans.The journal of physical chemistry. B · 2026Article
- Conformational Preferences for N-Glycans at the Surface of CEACAM1-Ig1.ACS chemical biology · 2026Article
- Benchmark of Available Explicit Solvent Models in CHARMM36m to Characterize Glycosaminoglycans.The journal of physical chemistry. B · 2025Article
- Repurposing Cofilin-Targeting Compounds for Ischemic Stroke Through Cheminformatics and Network Pharmacology.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Is AMOEBA a Good Force Field for Molecular Dynamics Simulations of Carbohydrates?Journal of chemical information and modeling · 2025Review
- Structure and unusual binding mechanism of the hyaluronan receptor LYVE-1 mediating leucocyte entry to lymphatics.Nature communications · 2025Article
- Comparative Assessment of Water Models in Protein-Glycan Interaction: Insights from Alchemical Free Energy Calculations and Molecular Dynamics Simulations.Journal of chemical information and modeling · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Glycosaminoglycans (GAGs) made of repeating disaccharide units intricately engage with proteins, playing a crucial role in the spatial organization of the extracellular matrix (ECM) and the transduction of biological signals in cells to modulate a number of biochemical processes. Exploring protein-GAG interactions reveals several challenges for their analysis, namely, the highly charged and periodic nature of GAGs, their multipose binding, and the abundance of the interfacial water molecules in the protein-GAG complexes. Most of the studies on protein-GAG interactions are conducted using the TIP3P water model, and there are no data on the effect of various water models on the results obtained in molecular dynamics (MD) simulations of protein-GAG complexes. Hence, it is essential to perform a systematic analysis of different water models in MD simulations for these systems. In this work, we aim to evaluate the properties of the protein-GAG complexes in MD simulations using different explicit: TIP3P, SPC/E, TIP4P, TIP4PEw, OPC, and TIP5P and implicit: IGB = 1, 2, 5, 7, and 8 water models to find out which of them are best suited to study the dynamics of protein-GAG complexes. The FF14SB and GLYCAM06 force fields were used for the proteins and GAGs, respectively. The interactions of several GAG types, such as heparin, chondroitin sulfate, and hyaluronic acid with basic fibroblast growth factor, cathepsin K, and CD44 receptor, respectively, are investigated. The observed variations in different descriptors used to study the binding in these complexes emphasize the relevance of the choice of water models for the MD simulation of these complexes.
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