Minimizing Polymorphic Risk through Cooperative Computational and Experimental Exploration.
Minimizing Polymorphic Risk through Cooperative Computational and Experimental Exploration.
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通过合作计算和实验探索最小化多态风险。
DOI:
10.1021/jacs.0c06749
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发表时间:
2020-09-30
影响因子:
15
通讯作者:
Steed JW
中科院分区:
文献类型:
--
作者:
Taylor CR;Mulvee MT;Perenyi DS;Probert MR;Day GM;Steed JW
We combine state-of-the-art computational crystal structure prediction (CSP) techniques with a wide range of experimental crystallization methods to understand and explore crystal structure in pharmaceuticals and minimize the risk of unanticipated late-appearing polymorphs. Initially, we demonstrate the power of CSP to rationalize the difficulty in obtaining polymorphs of the well-known pharmaceutical isoniazid and show that CSP provides the structure of the recently obtained, but unsolved, Form III of this drug despite there being only a single resolved form for almost 70 years. More dramatically, our blind CSP study predicts a significant risk of polymorphism for the related iproniazid. Employing a wide variety of experimental techniques, including high-pressure experiments, we experimentally obtained the first three known nonsolvated crystal forms of iproniazid, all of which were successfully predicted in the CSP procedure. We demonstrate the power of CSP methods and free energy calculations to rationalize the observed elusiveness of the third form of iproniazid, the success of high-pressure experiments in obtaining it, and the ability of our synergistic computational-experimental approach to “de-risk” solid form landscapes.
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影响因子:
8.4
作者:
Foster JA;Damodaran KK;Maurin A;Day GM;Thompson HPG;Cameron GJ;Bernal JC;Steed JW
通讯作者:
Steed JW
影响因子:
3.8
作者:
Day, GM;Motherwell, WDS;Jones, W
通讯作者:
Jones, W
影响因子:
3
作者:
Day, Graeme M.
通讯作者:
Day, Graeme M.
影响因子:
3.8
作者:
Dawn, Arnab;Andrew, Katherine S.;Steed, Jonathan W.
通讯作者:
Steed, Jonathan W.
影响因子:
16.6
作者:
Bucar, Dejan-Kresimir;Lancaster, Robert W.;Bernstein, Joel
通讯作者:
Bernstein, Joel