ArticleJournal of chemical information and modeling2018
Predicting Displaceable Water Sites Using Mixed-Solvent Molecular Dynamics.
Article in Journal of chemical information and modeling, 2018. 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, 17 citations in OpenAlex.
- Exploring Binding Sites in Chagas Disease Protein TcP21 Using Integrated Mixed Solvent Molecular Dynamics Approaches.Journal of chemical information and modeling · 2025Article
- Watermelon: setup and validation of anJournal of enzyme inhibition and medicinal chemistry · 2024Article
- Large-Scale Ligand Perturbations of the Protein Conformational Landscape Reveal State-Specific Interaction Hotspots.Journal of medicinal chemistry · 2022Article
- Application of Site-Identification by Ligand Competitive Saturation in Computer-Aided Drug Design.New journal of chemistry = Nouveau journal de chimie · 2022Article
- Predicting Conserved Water Molecules in Binding Sites of Proteins Using Machine Learning Methods and Combining Features.Computational and mathematical methods in medicine · 2022Article
- Impact of electronic polarizability on protein-functional group interactions.Physical chemistry chemical physics : PCCP · 2020Article
- Allosteric Binding Sites On Nuclear Receptors: Focus On Drug Efficacy and Selectivity.International journal of molecular sciences · 2020Article
- The role of hydration effects in 5-fluorouridine binding to SOD1: insight from a new 3D-RISM-KH based protocol for including structural water in docking simulations.Journal of computer-aided molecular design · 2019Article
- Water molecules in protein-ligand interfaces. Evaluation of software tools and SAR comparison.Journal of computer-aided molecular design · 2019Article
- Inclusion of enclosed hydration effects in the binding free energy estimation of dopamine D3 receptor complexes.PloS one · 2019Article
- Solvents to Fragments to Drugs: MD Applications in Drug Design.Molecules (Basel, Switzerland) · 2018Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Water molecules are an important factor in protein-ligand binding. Upon binding of a ligand with a protein's surface, waters can either be displaced by the ligand or may be conserved and possibly bridge interactions between the protein and ligand. Depending on the specific interactions made by the ligand, displacing waters can yield a gain in binding affinity. The extent to which binding affinity may increase is difficult to predict, as the favorable displacement of a water molecule is dependent on the site-specific interactions made by the water and the potential ligand. Several methods have been developed to predict the location of water sites on a protein's surface, but the majority of methods are not able to take into account both protein dynamics and the interactions made by specific functional groups. Mixed-solvent molecular dynamics (MixMD) is a cosolvent simulation technique that explicitly accounts for the interaction of both water and small molecule probes with a protein's surface, allowing for their direct competition. This method has previously been shown to identify both active and allosteric sites on a protein's surface. Using a test set of eight systems, we have developed a method using MixMD to identify conserved and displaceable water sites. Conserved sites can be determined by an occupancy-based metric to identify sites which are consistently occupied by water even in the presence of probe molecules. Conversely, displaceable water sites can be found by considering the sites which preferentially bind probe molecules. Furthermore, the inclusion of six probe types allows the MixMD method to predict which functional groups are capable of displacing which water sites. The MixMD method consistently identifies sites which are likely to be nondisplaceable and predicts the favorable displacement of water sites that are known to be displaced upon ligand binding.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.