ArticleThe journal of physical chemistry. B2016
Modeling Membrane Protein-Ligand Binding Interactions: The Human Purinergic Platelet Receptor.
Article in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 38 citations in OpenAlex.
- Extending MMPBSA for membrane proteins: Addressing P2YBiophysical journal · 2026Article
- Structural and computational analysis of monkeypox virus methyltransferase: dynamic inhibition mechanisms and their implications for antiviral design.Molecular diversity · 2026Article
- SARS-CoV-2 Evolution in Humans Enables Its Transmission to Nonhuman Primates.Molecular biology and evolution · 2025Article
- In search of a photoswitchable drug for serotonin receptors: a molecular dynamics simulation study.RSC advances · 2025Article
- Structure-Based Identification of SARS-CoV-2 nsp10-16 Methyltransferase Inhibitors Using Molecular Dynamics Insights.Current issues in molecular biology · 2025Article
- Targeting the receptor binding domain and heparan sulfate binding for antiviral drug development against SARS-CoV-2 variants.Scientific reports · 2024Article
- Mycobactin analogue interacting with siderophore efflux-pump protein: insights from molecular dynamics simulations and whole-cell assays.Frontiers in antibiotics · 2024Article
- Large scale peptide screening against main protease of SARS CoV-2.Journal of computational chemistry · 2023Article
- Targeting ion channels with ultra-large library screening for hit discovery.Frontiers in molecular neuroscience · 2023Review
- Inhibition of VMAT2 by β2-adrenergic agonists, antagonists, and the atypical antipsychotic ziprasidone.Communications biology · 2022Article
- In Silico Screening of Novel TMPRSS2 Inhibitors for Treatment of COVID-19.Molecules (Basel, Switzerland) · 2022Article
- MM/PB(GB)SA benchmarks on soluble proteins and membrane proteins.Frontiers in pharmacology · 2022Article
- Recent Developments in Free Energy Calculations for Drug Discovery.Frontiers in molecular biosciences · 2021Review
- Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods.International journal of molecular sciences · 2019Article
- NFBTA: A Potent Cytotoxic Agent against Glioblastoma.Molecules (Basel, Switzerland) · 2019Article
- Heterogeneous Dielectric Implicit Membrane Model for the Calculation of MMPBSA Binding Free Energies.Journal of chemical information and modeling · 2019Article
- Robustness and Efficiency of Poisson-Boltzmann Modeling on Graphics Processing Units.Journal of chemical information and modeling · 2019Article
- Computational Analysis for the Rational Design of Anti-Amyloid Beta (Aβ) Antibodies.The journal of physical chemistry. B · 2018Article
- A Finite Element Solution of Lateral Periodic Poisson-Boltzmann Model for Membrane Channel Proteins.International journal of molecular sciences · 2018Article
- A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.Journal of chemical theory and computation · 2017Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Membrane proteins, due to their roles as cell receptors and signaling mediators, make prime candidates for drug targets. The computational analysis of protein-ligand binding affinities has been widely employed as a tool in rational drug design efforts. Although efficient implicit solvent-based methods for modeling globular protein-ligand binding have been around for many years, the extension of such methods to membrane protein-ligand binding is still in its infancy. In this study, we extended the widely used Amber/MMPBSA method to model membrane protein-ligand systems, and we used it to analyze protein-ligand binding for the human purinergic platelet receptor (P2Y
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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.