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(S)-bis(3,5-diphenyl)(pyrrolidin-2-yl)methanol | 951008-56-3

中文名称
——
中文别名
——
英文名称
(S)-bis(3,5-diphenyl)(pyrrolidin-2-yl)methanol
英文别名
bis(3,5-diphenylphenyl)-[(2S)-pyrrolidin-2-yl]methanol
(S)-bis(3,5-diphenyl)(pyrrolidin-2-yl)methanol化学式
CAS
951008-56-3
化学式
C41H35NO
mdl
——
分子量
557.735
InChiKey
BBMBNOOMBRYEOI-FAIXQHPJSA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

物化性质

  • 熔点:
    92-94 °C
  • 沸点:
    776.8±50.0 °C(Predicted)
  • 密度:
    1.148±0.06 g/cm3(Predicted)

计算性质

  • 辛醇/水分配系数(LogP):
    9.2
  • 重原子数:
    43
  • 可旋转键数:
    7
  • 环数:
    7.0
  • sp3杂化的碳原子比例:
    0.12
  • 拓扑面积:
    32.3
  • 氢给体数:
    2
  • 氢受体数:
    2

反应信息

  • 作为反应物:
    描述:
    (S)-bis(3,5-diphenyl)(pyrrolidin-2-yl)methanol三乙胺 作用下, 以 二氯甲烷甲苯 为溶剂, 反应 16.0h, 生成 [(2S)-2-[bis(3,5-diphenylphenyl)-hydroxymethyl]pyrrolidin-1-yl]-(4-pyrrolidin-1-ylpyridin-3-yl)methanone
    参考文献:
    名称:
    Nonenzymatic Acylative Kinetic Resolution of Baylis−Hillman Adducts
    摘要:
    The first efficient nonenzymatic acylative kinetic resolution of Baylis-Hillman adducts is reported. Chiral pyridine catalyst 1a and an optimized analogue 1e are capable of promoting the synthetically useful enantioselective acylation (the efficiency of which is outstanding for sp(2)-sp(2) carbinol substrates, s = 3.5-13.1, ee up to 97%) of Baylis-Hillman adducts derived from recalcitrant precursors which are currently difficult to synthesize utilizing benchmark asymmetric Baylis-Hillman reaction catalyst technology. A novel one-pot synthesis-kinetic resolution process involving a DBU-catalyzed Baylis-Hillman reaction and subsequent 1e/DBU-mediated enantioselective acylation has also been developed.
    DOI:
    10.1021/jo071223b
  • 作为产物:
    描述:
    在 palladium on activated carbon 、 氢气三氟乙酸 作用下, 以 甲醇 为溶剂, 以95 %的产率得到(S)-bis(3,5-diphenyl)(pyrrolidin-2-yl)methanol
    参考文献:
    名称:
    利用机器学习的有限实验数据:区分 Corey-Bakshi-Shibata 还原反应中的甲基和乙基
    摘要:
    我们提出了一个案例研究,介绍如何改进现有的无金属催化剂以应对特别困难的反应,即丁酮的 Corey-Bakshi-Shibata (CBS) 还原,这构成了能够区分甲基的经典和原型挑战来自乙基。由于没有已知的策略来应对这一挑战,我们利用机器学习的力量,构建了一个真实的(对于典型实验室)小型但高质量的数据集,其中包含约 100 个反应(一式三份运行)用于结合关键中间图(底物和催化剂)来训练模型,以预测对映体反应路径的吉布斯活化能 ΔΔ G ‡的差异。借助该模型,我们能够选择并随后筛选一小部分催化剂,并将丁酮 CBS 还原的选择性提高到 80% 对映体过量 (ee),这是迄今为止该底物实现的最高可能值一种无金属催化剂,因此也超过了现有的最佳酶系统 (64% ee) 和 Corey 原始催化剂的选择性 (60% ee)。这意味着相对 Δ G ‡从 0.9 kcal mol –1 提高到 1.4 kcal
    DOI:
    10.1021/jacs.4c01286
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文献信息

  • CATALYST FOR ASYMMETRIC HYDROGENATION
    申请人:MAEDA Hironori
    公开号:US20100324338A1
    公开(公告)日:2010-12-23
    This invention aims at providing a catalyst for producing an optically active aldehyde or an optically active ketone, which is an optically active carbonyl compound, by carrying out selective asymmetric hydrogenation of an α,β-unsaturated carbonyl compound, particularly a catalyst which is insoluble in a reaction mixture for obtaining optically active citronellal which is useful as a flavor or fragrance, by carrying out selective asymmetric hydrogenation of citral, geranial or neral; and a method for producing a corresponding optically active carbonyl compound. The invention relates to a catalyst for asymmetric hydrogenation of an α,β-unsaturated carbonyl compound, which comprises a powder of at least one metal selected from metals belonging to Group 8 to Group 10 of the Periodic Table, or a metal-supported substance in which at least one metal selected from metals belonging to Group 8 to Group 10 of the Periodic Table is supported on a support, an optically active cyclic nitrogen-containing compound and an acid.
    这项发明旨在通过对α,β-不饱和羰基化合物进行选择性不对称加氢,特别是通过对柠檬醛、香叶醛或柠檬醛进行选择性不对称加氢,从而提供用作香料或香精的有用的光学活性香茅醛的催化剂,该香茅醛是一种光学活性羰基化合物;以及生产相应的光学活性羰基化合物的方法。该发明涉及一种用于不对称加氢α,β-不饱和羰基化合物的催化剂,其包括来自周期表第8至第10族金属中至少一种金属的粉末,或者至少一种来自周期表第8至第10族金属的金属负载物质,该金属负载在一种支撑物上,还包括光学活性的含氮环化合物和酸。
  • Chiral Pyridoxal-Catalyzed Asymmetric Biomimetic Transamination of α-Keto Acids
    作者:Limin Shi、Chuangan Tao、Qin Yang、Yong Ethan Liu、Jing Chen、Jianfeng Chen、Jiaxin Tian、Feng Liu、Bo Li、Yongling Du、Baoguo Zhao
    DOI:10.1021/acs.orglett.5b02895
    日期:2015.12.4
    A series of chiral pyridoxals 8 and 9 have been developed from commercially available pyridoxine and (S)-alpha,alpha-diarylprolinols. The pyridoxals exhibited good catalytic activity in an asymmetric transamination of alpha-keto acids with 2,2-diphenylglycine (7f) as the amine source to give various alpha-amino acids in 29-85% yields with 53-80% ee's. The current asymmetric transamination has successfully mimicked a complete biological transamination process characterized by two half-transaminations, a small chiral pyridoxal molecule acting as the catalyst, and enantioselective control.
  • US8217204B2
    申请人:——
    公开号:US8217204B2
    公开(公告)日:2012-07-10
  • Nonenzymatic Acylative Kinetic Resolution of Baylis−Hillman Adducts
    作者:Ciarán Ó Dálaigh、Stephen J. Connon
    DOI:10.1021/jo071223b
    日期:2007.8.31
    The first efficient nonenzymatic acylative kinetic resolution of Baylis-Hillman adducts is reported. Chiral pyridine catalyst 1a and an optimized analogue 1e are capable of promoting the synthetically useful enantioselective acylation (the efficiency of which is outstanding for sp(2)-sp(2) carbinol substrates, s = 3.5-13.1, ee up to 97%) of Baylis-Hillman adducts derived from recalcitrant precursors which are currently difficult to synthesize utilizing benchmark asymmetric Baylis-Hillman reaction catalyst technology. A novel one-pot synthesis-kinetic resolution process involving a DBU-catalyzed Baylis-Hillman reaction and subsequent 1e/DBU-mediated enantioselective acylation has also been developed.
  • 10.1021/jacs.4c01286
    作者:Pereira, Oliver、Ruth, Marcel、Gerbig, Dennis、Wende, Raffael C.、Schreiner, Peter R.
    DOI:10.1021/jacs.4c01286
    日期:——
    a particularly difficult reaction, namely, the Corey–Bakshi–Shibata (CBS) reduction of butanone, which constitutes the classic and prototypical challenge of being able to differentiate a methyl from an ethyl group. As there are no known strategies on how to address this challenge, we leveraged the power of machine learning by constructing a realistic (for a typical laboratory) small, albeit high-quality
    我们提出了一个案例研究,介绍如何改进现有的无金属催化剂以应对特别困难的反应,即丁酮的 Corey-Bakshi-Shibata (CBS) 还原,这构成了能够区分甲基的经典和原型挑战来自乙基。由于没有已知的策略来应对这一挑战,我们利用机器学习的力量,构建了一个真实的(对于典型实验室)小型但高质量的数据集,其中包含约 100 个反应(一式三份运行)用于结合关键中间图(底物和催化剂)来训练模型,以预测对映体反应路径的吉布斯活化能 ΔΔ G ‡的差异。借助该模型,我们能够选择并随后筛选一小部分催化剂,并将丁酮 CBS 还原的选择性提高到 80% 对映体过量 (ee),这是迄今为止该底物实现的最高可能值一种无金属催化剂,因此也超过了现有的最佳酶系统 (64% ee) 和 Corey 原始催化剂的选择性 (60% ee)。这意味着相对 Δ G ‡从 0.9 kcal mol –1 提高到 1.4 kcal
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