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Ligand and structure-based models for the prediction of ligand-receptor affinities and virtual screenings: Development and application to the β2-adrenergic receptor

机译：用于预测配体 - 受体亲和力和虚拟筛查的配体和基于结构的模型：开发和应用于β2-肾上腺素能受体

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Santiago Vilar; Joel Karpiak; Stefano Costanzi;
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年度 2009
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1. Ligand and Structure-Based Models for the Prediction of Ligand-Receptor Affinities and Virtual Screenings: Development and Application to the b2-Adrenergic Receptor [J] . SANTIAGO VILAR, JOEL KARPIAK, STEFANO COSTANZI Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological . 2010,第4期

机译：配体和受体的亲和力和虚拟筛选的基于配体和结构的模型的预测：b2-肾上腺素能受体的开发和应用
2. Discovery of high affinity ligands for β_2-adrenergic receptor through pharmacophore-based high-throughput virtual screening and docking [J] . Ruya Yakar, Ebru Demet Akten Journal of molecular graphics & modelling . 2014,第Null期

机译：通过基于药效团的高通量虚拟筛选和对接发现β_2-肾上腺素受体的高亲和力配体
3. Development of Small-Molecules Targeting Receptor Activator of Nuclear Factor-kappa B Ligand (RANKL)-Receptor Activator of Nuclear Factor-kappa B (RANK) Protein-Protein Interaction by Structure-Based Virtual Screening and Hit Optimization [J] . Jiang Min, Peng Lei, Yang Kai, Journal of Medicinal Chemistry . 2019,第11期

机译：靶向核因子-Kappa B配体（RANKL）靶向受体活化剂的小分子的开发 - 基于结构的虚拟筛选和击中优化的核因子-Kappa B（RANKL）蛋白 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质 - 蛋白质
4. Identification of ligand-receptor binding affinity using AlGaN/GaN high electron mobility transistors and binding-site models [C] . Wang Yu-Lin, Chih-Cheng Huang, You-Ren Hsu, IEEE International Conference on Nano/Micro Engineered and Molecular Systems . 2013

机译：使用AlGaN / GaN高电子迁移率晶体管和结合位点模型鉴定配体-受体结合亲和力
5. Molecular Recognition of Association Processes: Assessment of Diffusional Association, Binding Pathways, and Selective Affinity in Ligand-Receptor Complexes. [D] . Roberts, Christopher Carver. 2014

机译：缔合过程的分子识别：评估配体-受体复合物中的扩散缔合，结合途径和选择性亲和力。
6. Ligand and Structure-based Models for the Prediction of Ligand-Receptor Affinities and Virtual Screenings: Development and Application to the β2-Adrenergic Receptor [O] . Santiago Vilar, Joel Karpiak, Stefano Costanzi -1

机译：用于预测配体 - 受体亲和力和虚拟筛查的配体和基于结构的模型：开发和应用于β2-肾上腺素能受体
7. Development of Small-Molecules Targeting Receptor Activator of Nuclear Factor-B Ligand (RANKL)Receptor Activator of Nuclear Factor-B (RANK) ProteinProtein Interaction by Structure-Based Virtual Screening and Hit Optimization [O] . -1

机译：核因子-B配体核因子-B配体（RANKL）受体活化剂的小分子靶向受体活化剂的核因子-B（等级）蛋白质蛋白基于结构的虚拟筛选和击中优化的蛋白质蛋白相互作用

Ligand and structure-based models for the prediction of ligand-receptor affinities and virtual screenings: Development and application to the β2-adrenergic receptor

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