ArticleNucleic acids research2018
GPCRM: a homology modeling web service with triple membrane-fitted quality assessment of GPCR models.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Trial
- Elucidating the Structure and Activation Mechanisms of GPCRs Using Modern Computational and AI Tools.Cell biochemistry and biophysics · 2026Review
- Unconventional receptor functions and location-biased signaling of the lactate GPCR in the nucleus.Life science alliance · 2025Article
- GPCRVS - AI-driven Decision Support System for GPCR Virtual Screening.International journal of molecular sciences · 2025Article
- MoDAFold: a strategy for predicting the structure of missense mutant protein based on AlphaFold2 and molecular dynamics.Briefings in bioinformatics · 2024Article
- Illuminating the "Twilight Zone": Advances in Difficult Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Homology Modeling of the G Protein-Coupled Receptors.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Article
- Mind the Gap-Deciphering GPCR Pharmacology Using 3D Pharmacophores and Artificial Intelligence.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Helix 8 in chemotactic receptors of the complement system.PLoS computational biology · 2022Article
- Signal Transduction by VIP and PACAP Receptors.Biomedicines · 2022Review
- Article
- A unique Malpighian tubule architecture inProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Molecular Modeling of Histamine Receptors-Recent Advances in Drug Discovery.Molecules (Basel, Switzerland) · 2021Review
- Guardians of the Cell: State-of-the-Art of Membrane Proteins from a Computational Point-of-View.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Drug Repositioning For Allosteric Modulation of VIP and PACAP Receptors.Frontiers in endocrinology · 2021Article
- BIO-GATS: A Tool for Automated GPCR Template Selection Through a Biophysical Approach for Homology Modeling.Frontiers in molecular biosciences · 2021Article
- Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs.PLoS computational biology · 2020Article
- Article
- Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes.Frontiers in molecular biosciences · 2020Article
Corrections and comments
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the involvement of G protein-coupled receptors (GPCRs) in most of the physiological and pathological processes in humans they have been attracting a lot of attention from pharmaceutical industry as well as from scientific community. Therefore, the need for new, high quality structures of GPCRs is enormous. The updated homology modeling service GPCRM (http://gpcrm.biomodellab.eu/) meets those expectations by greatly reducing the execution time of submissions (from days to hours/minutes) with nearly the same average quality of obtained models. Additionally, due to three different scoring functions (Rosetta, Rosetta-MP, BCL::Score) it is possible to select accurate models for the required purposes: the structure of the binding site, the transmembrane domain or the overall shape of the receptor. Currently, no other web service for GPCR modeling provides this possibility. GPCRM is continually upgraded in a semi-automatic way and the number of template structures has increased from 20 in 2013 to over 90 including structures the same receptor with different ligands which can influence the structure not only in the on/off manner. Two types of protein viewers can be used for visual inspection of obtained models. The extended sortable tables with available templates provide links to external databases and display ligand-receptor interactions in visual form.
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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.