ReviewBiochemical Society transactions2016
Using the fragment molecular orbital method to investigate agonist-orexin-2 receptor interactions.
Review in Biochemical Society transactions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Computation of Protein-Ligand Binding Free Energies with a Quantum Mechanics-Based Mining Minima Algorithm.Journal of chemical theory and computation · 2025Article
- Different chemical scaffolds bind to L-phe site in Mycobacterium tuberculosis Phe-tRNA synthetase.European journal of medicinal chemistry · 2025Article
- Accurate prediction of dynamic protein-ligand binding using P-score ranking.Journal of computational chemistry · 2024Article
- FMO-guided design of darunavir analogs as HIV-1 protease inhibitors.Scientific reports · 2024Article
- The Pivotal Distinction between Antagonists' and Agonists' Binding into Dopamine D4 Receptor-MD and FMO/PIEDA Studies.International journal of molecular sciences · 2024Article
- High-Throughput Structure-Based Drug Design (HT-SBDD) Using Drug Docking, Fragment Molecular Orbital Calculations, and Molecular Dynamic Techniques.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Structures of active-state orexin receptor 2 rationalize peptide and small-molecule agonist recognition and receptor activation.Nature communications · 2021Article
- G protein-coupled receptors: structure- and function-based drug discovery.Signal transduction and targeted therapy · 2021Review
- Multiscale Molecular Modeling in G Protein-Coupled Receptor (GPCR)-Ligand Studies.Biomolecules · 2020Review
- Characterizing Interhelical Interactions of G-Protein Coupled Receptors with the Fragment Molecular Orbital Method.Journal of chemical theory and computation · 2020Article
- Predicting protein-ligand binding affinity and correcting crystal structures with quantum mechanical calculations: lactate dehydrogenase A.Chemical science · 2019Article
- Investigation of Hot Spot Region in XIAP Inhibitor Binding Site by Fragment Molecular Orbital Method.Computational and structural biotechnology journal · 2019Article
- Application of the fragment molecular orbital method to discover novel natural products for prion disease.Scientific reports · 2018Article
- Rapid and accurate assessment of GPCR-ligand interactions Using the fragment molecular orbital-based density-functional tight-binding method.Journal of computational chemistry · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The understanding of binding interactions between any protein and a small molecule plays a key role in the rationalization of affinity and selectivity and is essential for an efficient structure-based drug discovery (SBDD) process. Clearly, to begin SBDD, a structure is needed, and although there has been fantastic progress in solving G-protein-coupled receptor (GPCR) crystal structures, the process remains quite slow and is not currently feasible for every GPCR or GPCR-ligand complex. This situation significantly limits the ability of X-ray crystallography to impact the drug discovery process for GPCR targets in 'real-time' and hence there is still a need for other practical and cost-efficient alternatives. We present here an approach that integrates our previously described hierarchical GPCR modelling protocol (HGMP) and the fragment molecular orbital (FMO) quantum mechanics (QM) method to explore the interactions and selectivity of the human orexin-2 receptor (OX2R) and its recently discovered nonpeptidic agonists. HGMP generates a 3D model of GPCR structures and its complexes with small molecules by applying a set of computational methods. FMO allowsab initioapproaches to be applied to systems that conventional QM methods would find challenging. The key advantage of FMO is that it can reveal information on the individual contribution and chemical nature of each residue and water molecule to the ligand binding that normally would be difficult to detect without QM. We illustrate how the combination of both techniques provides a practical and efficient approach that can be used to analyse the existing structure-function relationships (SAR) and to drive forward SBDD in a real-world example for which there is no crystal structure of the complex available.
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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.