Titlebook: Computational Methods for GPCR Drug Discovery; Alexander Heifetz Book 2018 Springer Science+Business Media LLC 2018 G protein-coupled rece

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书目名称Computational Methods for GPCR Drug Discovery影响因子(影响力)




书目名称Computational Methods for GPCR Drug Discovery影响因子(影响力)学科排名




书目名称Computational Methods for GPCR Drug Discovery网络公开度




书目名称Computational Methods for GPCR Drug Discovery网络公开度学科排名




书目名称Computational Methods for GPCR Drug Discovery被引频次




书目名称Computational Methods for GPCR Drug Discovery被引频次学科排名




书目名称Computational Methods for GPCR Drug Discovery年度引用




书目名称Computational Methods for GPCR Drug Discovery年度引用学科排名




书目名称Computational Methods for GPCR Drug Discovery读者反馈




书目名称Computational Methods for GPCR Drug Discovery读者反馈学科排名

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Benjamin Nienass,Alexandra Délano application of the same computational protocols to investigate this diverse group of receptor families gives an idea of the general applicability of our methodology in the characterization of GPCR-ligand binding.

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Current and Future Challenges in GPCR Drug Discovery,nderstanding of these proteins as well as to drive drug discovery. Such drug discovery activities range from the design of orthosteric site inhibitors through, for example, allosteric modulators, biased ligands, partial agonists and bitopic ligands. Herein, these topics are outlined through specific

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Molecular Basis of Ligand Dissociation from G Protein-Coupled Receptors and Predicting Residence Ti we review what is currently known about the dynamics of GPCRs in the context of ligand association and dissociation, as determined through both crystallography and computer simulations. We particularly focus on the molecular basis of ligand dissociation from GPCRs and provide case studies that pred