In silico study of allosteric communication networks in GPCR signaling bias
| Autor: | Adrian Morales-Pastor, Francho Nerín-Fonz, David Aranda-García, Miguel Dieguez-Eceolaza, Brian Medel-Lacruz, Mariona Torrens-Fontanals, Alejandro Peralta-García, Jana Selent |
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| Jazyk: | angličtina |
| Rok vydání: | 2002 |
| Předmět: |
Functional selectivity
Organic Chemistry General Medicine Molecular dynamics Ligands Receptor dynamics Catalysis Signaling bias Receptors G-Protein-Coupled Computer Science Applications Inorganic Chemistry GPCR Allosteric Regulation Allosteric communication networks Biased agonist Network theory Physical and Theoretical Chemistry Molecular Biology Allosteric Site Spectroscopy Signal Transduction |
| Popis: | Signaling bias is a promising characteristic of G protein-coupled receptors (GPCRs) as it provides the opportunity to develop more efficacious and safer drugs. This is because biased ligands can avoid the activation of pathways linked to side effects whilst still producing the desired therapeutic effect. In this respect, a deeper understanding of receptor dynamics and implicated allosteric communication networks in signaling bias can accelerate the research on novel biased drug candidates. In this review, we aim to provide an overview of computational methods and techniques for studying allosteric communication and signaling bias in GPCRs. This includes (i) the detection of allosteric communication networks and (ii) the application of network theory for extracting relevant information pipelines and highly communicated sites in GPCRs. We focus on the most recent research and highlight structural insights obtained based on the framework of allosteric communication networks and network theory for GPCR signaling bias. |
| Databáze: | OpenAIRE |
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