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Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling

机译：基于配体的机器学习和结构建模，发现高度选择性和多样的PPAR-δ激动剂

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Benny Da’adoosh; David Marcus; Anwar Rayan; Fred King; Jianwei Che; Amiram Goldblum;
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年度 2019
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1. Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling [J] . Benny Da’adoosh, David Marcus, Anwar Rayan, Scientific reports. . 2019,第1期

机译：通过基于配体的机器学习和结构建模发现高选择性和多样化的PPAR-δ激动剂
2. Support for 5-HT2C receptor functional selectivity in vivo utilizing structurally diverse, selective 5-HT2C receptor ligands and the 2,5-dimethoxy-4-iodoamphetamine elicited head-twitch response model [J] . CanalC.E., BoothR.G., MorganD. Neuropharmacology . 2013,第Null期

机译：利用结构多样的选择性5-HT2C受体配体和2,5-二甲氧基-4-碘安非他明引发的头抽动反应模型，支持体内5-HT2C受体功能选择性
3. Minor structural modifications convert a selective PPARalpha agonist into a potent, highly selective PPARdelta agonist. [J] . Weigand S, Bischoff H, Dittrich Wengenroth E, Bioorganic and Medicinal Chemistry Letters . 2005,第20期

机译：较小的结构修饰将选择性PPARalpha激动剂转化为有效的高选择性PPARdelta激动剂。
4. Identification of opioid receptor ligand interactions using structurally related delta-opioid receptor agonists and antagonists and molecular modeling. [C] . Sharon D.Bryant, Yunden Jinsmaa, Lawrence H.Lazarus International Peptide Symposium;European Peptide Symposium . 2005

机译：使用结构相关的δ-阿片类受体激动剂和拮抗剂和分子建模鉴定阿片受体配体的相互作用。
5. Physics-based simulation modeling and optimization of microstructural changes induced by machining and selective laser melting processes in titanium and nickel based alloys. [D] . Arisoy, Yigit Muzaffer. 2016

机译：基于物理的仿真建模和优化的钛和镍基合金的机械加工和选择性激光熔化过程引起的微观结构变化。
6. Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling [O] . Benny Da’adoosh, David Marcus, Anwar Rayan, -1

机译：通过基于配体的机器学习和结构建模发现高选择性和多样化的PPAR-δ激动剂
7. Structural Insights into Human Peroxisome Proliferator Activated Receptor Delta (PPAR-Delta) Selective Ligand Binding [O] . Batista, Fernanda A. H., Trivella, Daniela B. B., Bernardes, Amanda, 2012

机译：对人类过氧化物酶体增殖物激活受体δ（PPAR-δ）选择性配体结合的结构见解。

Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling

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