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An Efficient Strategy to Estimate Thermodynamics and Kinetics of G Protein-Coupled Receptor Activation Using Metadynamics and Maximum Caliber

机译：使用Metadnamics和最大口径估算G蛋白偶联受体激活的热力学和动力学的有效策略

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Derya Meral; Davide Provasi; Marta Filizola;
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年度 2018
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1. An efficient strategy to estimate thermodynamics and kinetics of G protein-coupled receptor activation using metadynamics and maximum caliber [J] . Meral Derya, Provasi Davide, Filizola Marta The Journal of Chemical Physics . 2018,第22期

机译：使用Metadnamics和最大口径估算G蛋白偶联受体激活的热力学和动力学的有效策略
2. Kinetics and mechanism of G protein-coupled receptor activation. [Review] [J] . Lohse MJ, Maiellaro I, Calebiro D Current Opinion in Cell Biology . 2014,第Null期

机译：G蛋白偶联受体活化的动力学和机理。 [评论]
3. A monomeric G protein-coupled receptor isolated in a high-density lipoprotein particle efficiently activates its G protein [J] . Matthew R. Whorton, Michael P. Bokoch, Soren G. F. Rasmussen, Proceedings of the National Academy of Sciences of the United States of America . 2007,第18期

机译：高密度脂蛋白颗粒中分离的单体G蛋白偶联受体可有效激活其G蛋白
4. A Novel Strategy for Prediction of Cellular Cholesterol Signature Motif from G Protein-Coupled Receptors based on Rough Set and FCM Algorithm [C] . Rudra Kalyan Nayak, Ramamani Tripathy, Saravanan V, International Conference on Computing Methodologies and Communication . 2020

机译：基于粗糙集和FCM算法的G蛋白偶联受体预测细胞胆固醇信号基序的新策略
5. On the use of coarse-grained thermodynamic landscapes to efficiently estimate folding kinetics for RNA molecules. [D] . Senter, Evan Andrew. 2015

机译：关于使用粗粒热力学景观来有效估计RNA分子的折叠动力学。
6. An efficient strategy to estimate thermodynamics and kinetics of Gprotein-coupled receptor activation using metadynamics and maximum caliber [O] . Derya Meral, Davide Provasi, Marta Filizola -1

机译：估算G热力学和动力学的有效策略利用动力学和最大口径的蛋白质偶联受体激活
7. A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors [O] . João Marcelo Lamim Ribeiro, Davide Provasi, Marta Filizola 2020

机译：机器学习和不常见的元动力学的组合，以有效地预测来自G蛋白偶联受体的药物解离药物解离的动力学率，过渡状态和分子决定因素

An Efficient Strategy to Estimate Thermodynamics and Kinetics of G Protein-Coupled Receptor Activation Using Metadynamics and Maximum Caliber

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