The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery
Authors
Keywords
-
Journal
Engineering
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2023-10-18
DOI
10.1016/j.eng.2023.09.011
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery
- (2023) Anh T. N. Nguyen et al. BRITISH JOURNAL OF PHARMACOLOGY
- Structural basis of efficacy-driven ligand selectivity at GPCRs
- (2023) Alexander S. Powers et al. Nature Chemical Biology
- Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking
- (2023) Zhenxing Wu et al. Nature Communications
- IPs-GRUAtt: An attention-based bidirectional gated recurrent unit network for predicting phosphorylation sites of SARS-CoV-2 infection
- (2023) Guiyang Zhang et al. Molecular Therapy-Nucleic Acids
- Artificial intelligence for drug discovery: Resources, methods, and applications
- (2023) Wei Chen et al. Molecular Therapy-Nucleic Acids
- Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors
- (2022) Lorenzo Di Rienzo et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- GPCR systems pharmacology: a different perspective on the development of biased therapeutics
- (2022) Dylan Scott Eiger et al. AMERICAN JOURNAL OF PHYSIOLOGY-CELL PHYSIOLOGY
- Critical roles of G protein-coupled receptors in regulating intestinal homeostasis and inflammatory bowel disease
- (2022) Zhongsheng Feng et al. Mucosal Immunology
- Structure-Based Discovery of Negative Allosteric Modulators of the Metabotropic Glutamate Receptor 5
- (2022) Stefanie Kampen et al. ACS Chemical Biology
- A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists
- (2022) Jooseong Oh et al. BMC BIOINFORMATICS
- PubChem 2023 update
- (2022) Sunghwan Kim et al. NUCLEIC ACIDS RESEARCH
- GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources
- (2022) Gáspár Pándy-Szekeres et al. NUCLEIC ACIDS RESEARCH
- UniProt: the Universal Protein Knowledgebase in 2023
- (2022) et al. NUCLEIC ACIDS RESEARCH
- RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning
- (2022) Stephen K Burley et al. NUCLEIC ACIDS RESEARCH
- Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction
- (2022) Sumin Lee et al. Computational and Structural Biotechnology Journal
- New machine learning and physics-based scoring functions for drug discovery
- (2021) Isabella A. Guedes et al. Scientific Reports
- Comparison of structure- and ligand-based scoring functions for deep generative models: a GPCR case study
- (2021) Morgan Thomas et al. Journal of Cheminformatics
- Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence
- (2021) Tianling Hou et al. Biomolecules
- Conformational plasticity of ligand-bound and ternary GPCR complexes studied by 19F NMR of the β1-adrenergic receptor
- (2020) J. Niclas Frei et al. Nature Communications
- Advances in G protein-coupled receptor high-throughput screening
- (2020) Emily A. Yasi et al. CURRENT OPINION IN BIOTECHNOLOGY
- Virtual Screening of Human Class-A GPCRs Using Ligand Profiles Built on Multiple Ligand–Receptor Interactions
- (2020) Wallace K.B. Chan et al. JOURNAL OF MOLECULAR BIOLOGY
- Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
- (2020) Sebastian Raschka et al. METHODS
- Anti-inflammatory signaling through G protein-coupled receptors
- (2020) Yun-jun Ge et al. ACTA PHARMACOLOGICA SINICA
- Classifying the superfamily of small heat shock proteins by using g-gap dipeptide compositions
- (2020) Pengmian Feng et al. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
- Automated discovery of GPCR bioactive ligands
- (2019) Sebastian Raschka CURRENT OPINION IN STRUCTURAL BIOLOGY
- Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors
- (2019) Jiansheng Wu et al. BIOINFORMATICS
- Deep learning enables rapid identification of potent DDR1 kinase inhibitors
- (2019) Alex Zhavoronkov et al. NATURE BIOTECHNOLOGY
- Physiological roles for neuromodulation via Gi/o GPCRs working through Gβγ–SNARE interaction
- (2019) Heidi E. Hamm et al. NEUROPSYCHOPHARMACOLOGY
- Learning a functional grammar of protein domains using natural language word embedding techniques
- (2019) Daniel W. A. Buchan et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- The nature of efficacy at G protein-coupled receptors
- (2019) Peishen Zhao et al. BIOCHEMICAL PHARMACOLOGY
- Classification of adaptor proteins using recurrent neural networks and PSSM profiles
- (2019) Nguyen Quoc Khanh Le et al. BMC GENOMICS
- WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest
- (2018) Jiansheng Wu et al. BIOINFORMATICS
- GPCRs: Emerging anti-cancer drug targets
- (2018) Ainhoa Nieto Gutierrez et al. CELLULAR SIGNALLING
- Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms
- (2018) Sangmin Seo et al. Computational and Mathematical Methods in Medicine
- G Protein-Coupled Receptors as Targets for Approved Drugs: How Many Targets and How Many Drugs?
- (2018) Krishna Sriram et al. MOLECULAR PHARMACOLOGY
- Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands
- (2018) Krzysztof Rataj et al. MOLECULES
- Targeting G protein-coupled receptor signalling by blocking G proteins
- (2018) Adrian P. Campbell et al. NATURE REVIEWS DRUG DISCOVERY
- Inverse molecular design using machine learning: Generative models for matter engineering
- (2018) Benjamin Sanchez-Lengeling et al. SCIENCE
- The MemProtMD database: a resource for membrane-embedded protein structures and their lipid interactions
- (2018) Thomas D Newport et al. NUCLEIC ACIDS RESEARCH
- ChEMBL: towards direct deposition of bioassay data
- (2018) David Mendez et al. NUCLEIC ACIDS RESEARCH
- Discovery of new GPCR ligands to illuminate new biology
- (2017) Bryan L Roth et al. Nature Chemical Biology
- Trends in GPCR drug discovery: new agents, targets and indications
- (2017) Alexander S. Hauser et al. NATURE REVIEWS DRUG DISCOVERY
- DrugBank 5.0: a major update to the DrugBank database for 2018
- (2017) David S Wishart et al. NUCLEIC ACIDS RESEARCH
- Molecular de-novo design through deep reinforcement learning
- (2017) Marcus Olivecrona et al. Journal of Cheminformatics
- Scalable Algorithms for Multi-Instance Learning
- (2017) Xiu-Shen Wei et al. IEEE Transactions on Neural Networks and Learning Systems
- Structure-based discovery of opioid analgesics with reduced side effects
- (2016) Aashish Manglik et al. NATURE
- GPCR-ModSim: A comprehensive web based solution for modeling G-protein coupled receptors
- (2016) Mauricio Esguerra et al. NUCLEIC ACIDS RESEARCH
- GLASS: a comprehensive database for experimentally validated GPCR-ligand associations
- (2015) Wallace K. B. Chan et al. BIOINFORMATICS
- GPCR-I-TASSER: A Hybrid Approach to G Protein-Coupled Receptor Structure Modeling and the Application to the Human Genome
- (2015) Jian Zhang et al. STRUCTURE
- Improved protein–ligand binding affinity prediction by using a curvature-dependent surface-area model
- (2014) Yang Cao et al. BIOINFORMATICS
- GOMoDo: A GPCRs Online Modeling and Docking Webserver
- (2013) Massimo Sandal et al. PLoS One
- Orthosteric versus allosteric GPCR activation: The great challenge of group-III mGluRs
- (2012) Peter J. Flor et al. BIOCHEMICAL PHARMACOLOGY
- Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
- (2012) Michael M. Mysinger et al. JOURNAL OF MEDICINAL CHEMISTRY
- Signaling by Sensory Receptors
- (2011) D. Julius et al. Cold Spring Harbor Perspectives in Biology
- GPCRRD: G protein-coupled receptor spatial restraint database for 3D structure modeling and function annotation
- (2010) Jian Zhang et al. BIOINFORMATICS
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- Biophysical dissection of membrane proteins
- (2009) Stephen H. White NATURE
- gpDB: a database of GPCRs, G-proteins, effectors and their interactions
- (2008) Margarita C. Theodoropoulou et al. BIOINFORMATICS
- Structural diversity of G protein-coupled receptors and significance for drug discovery
- (2008) Malin C. Lagerström et al. NATURE REVIEWS DRUG DISCOVERY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started