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1)  self-organizing molecular field
自组织分子场
1.
A 3D-QSAR model was obtained by using self-organizing molecular field analysis(SoMFA) on a series of β-carboline derivatives with highly potent and selective inhibition for MK-2.
通过自组织分子场(SoMFA)分析方法建立了MK-2抑制剂———β咔啉衍生物的三维定量构效关系(3D-QSAR)模型。
2)  self-organizing molecular field analysis
自组织分子场分析
1.
To search for the relationship between structure and biological activities in order to design new α_1-adrenoceptor antagonists,three-dimensional quantitative structure-activities relationship(3D-QSAR)study of 28 N-subtituted-4-subtituted phenylpiperazine-1-acetic amide series as α_1-adrenoceptor antagonists was performed using self-organizing molecular field analysis(SOMFA).
寻找α_1-肾上腺素受体拮抗剂化学结构与生物活性之间的关系,为设计新的α_1-受体拮抗剂提供理论依据,对28个N-取代-4-取代苯基哌嗪-1-乙酰胺类α_1-受体拮抗剂,以自组织分子场分析法进行了三维定量构效关系研究。
2.
Aim and Method A novel three-dimensional quantitative structure-activity relationship (3D-QSAR) method, self-organizing molecular field analysis (SOMFA), was used to investigate the correlation between the molecular properties and a class of chromanol analogs as I_ Ks blockers.
目的和方法本文运用自组织分子场分析法以35个色满醇类IKs阻断剂为训练集分子进行三维定量构效关系研究。
3)  Substrate-mediated interaction
自组织单分子层
4)  Supramolecular self-organization
超分子自组织
5)  self-segregation
自组织分离
6)  self organizing mapping analysis
自组织分析
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性质:在某些条件下,有些宏观系统中的结构单元(如分子)通过系统内部特定的动力学过程(如反应-扩散过程)自己组织起来一致行动,形成宏观的时-空有序状态,例如化学振荡和图林(Turing)结构。

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