权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A Supramolecular Gel Phase Crystallisation Strategy

超分子凝胶相结晶策略

基本信息

批准号：
EP/R013373/1
负责人：
Jonathan Steed
金额：
$ 46.85万
依托单位：
Durham University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR013373%2F1
关键词：
Supramolecular Gel Phase Crystallisation Strategy

项目摘要

The crystal form of drug substances (termed 'polymorphic' form) used in medicines is an issue of extraordinary importance to the pharmaceutical industry. The properties of the crystal directly determine solubility, dissolution rate, drug bioavailability, stability, moisture absorption and retention and mechanical parameters such as tabletability and ease of filtration. It is a regulatory requirement and practical necessity for drug substances to be screened to identify all of their possible polymorphic forms. This process is generally empirical and can fail to identify key crystal forms, particularly if they are slow to nucleate. The failure to identify the most stable form of the HIV drug ritonavir in the late 1990's resulted in a product recall and reformulation at a cost of hundreds of missions of dollars for Abbott labs. The overall aim of this project is to maximise the efficiency and reliability of solid form screening in the pharmaceutical industry using supramolecular gel technology. We will achieve this aim by developing a rational toolkit of supramolecular gel crystallization media and a solid form screening protocol for their use. The resulting gel phase crystallization approach will be used in parallel with (and as part of) traditional salt and polymorph screening undertaken during drug development. Gels will be designed based on computational calculation of their structure and computational calculation of the likely polymorphs of the drug substances. The gels will then be used to target the crystallization of polymorphs that are computationally predicted but not observed experimentally by ordinary crystallization techniques. The idea is that a new active pharmaceutical ingredient (API) will be subjected to rationally designed gel-phase solid form screening with far greater certainty of discovering hard-to-nucleate or transient solid forms. It is vital for the pharmaceutical industry to identify the full range of solid forms to prevent late-emerging insoluble or troublesome forms, ensure full IP protection and optimise properties such as bioavailability, processability and dissolution rate. Moreover the ability to use advanced crystallization methods to target computationally predicted solid forms that are not otherwise experimentally observed is of key fundamental importance in our understanding of the crystallization process. This project is a collaboration between two academic labs, a large pharma company and a specialist crystal form screening contract research organization. The academic labs specialize in (1) advanced crystallization methods and supramolecular gels, and (2) theoretical computational crystal structure calculations. The involvement of the industrial partners ensures that the methodology is suitable for real world application in solid form screening and that its impact can be fully exploited.

药物中使用的原料药的晶型（称为“多晶型”）对制药行业来说是一个非常重要的问题。晶体的性质直接决定了溶解度、溶出速率、药物生物利用度、稳定性、吸湿性和保湿性以及机械参数，例如可压片性和过滤容易性。对原料药进行筛选以鉴别其所有可能的多晶型是法规要求和实际需要。这个过程通常是经验性的，并且可能无法识别关键的晶体形式，特别是如果它们缓慢成核。20世纪90年代末，由于未能确定艾滋病毒药物利托那韦的最稳定形式，导致雅培实验室召回产品并重新配方，花费了数百美元。该项目的总体目标是使用超分子凝胶技术最大限度地提高制药行业固体形式筛选的效率和可靠性。我们将实现这一目标，通过开发一个合理的工具包的超分子凝胶结晶介质和固体形式的筛选协议，为他们的使用。所得凝胶相结晶方法将与药物开发期间进行的传统盐和多晶型物筛选平行使用（并作为其一部分）。凝胶的设计将基于其结构的计算计算和原料药可能的多晶型物的计算计算。然后，凝胶将被用于靶向计算预测但通过普通结晶技术实验观察不到的多晶型物的结晶。其想法是，新的活性药物成分（API）将接受合理设计的凝胶相固体形式筛选，从而更有把握发现难成核或短暂的固体形式。对于制药行业来说，识别全系列的固体形式至关重要，以防止后期出现不溶性或麻烦的形式，确保全面的IP保护并优化生物利用度，加工性和溶解速率等特性。此外，能够使用先进的结晶方法，以目标计算预测的固体形式，否则实验观察是关键的根本重要性，在我们的结晶过程的理解。该项目是两个学术实验室，一家大型制药公司和一家专业晶体形式筛选合同研究组织之间的合作。学术实验室专注于（1）先进的结晶方法和超分子凝胶，以及（2）理论计算晶体结构计算。工业合作伙伴的参与确保了该方法适用于固体形态筛选中的真实的世界应用，并且可以充分利用其影响。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Minimizing Polymorphic Risk Through Cooperative Computational and Experimental Exploration

通过合作计算和实验探索最小化多态性风险

DOI：
10.26434/chemrxiv.12546389.v1
发表时间：
2020
期刊：
影响因子：
0
作者：
Taylor C
通讯作者：
Taylor C

Pushing Technique Boundaries to Probe Conformational Polymorphism.

DOI：
10.1021/acs.cgd.3c00641
发表时间：
2023-10-04
期刊：
CRYSTAL GROWTH & DESIGN
影响因子：
3.8
作者：
Ward, Martin R;Taylor, Christopher R;Mulvee, Matthew T;Lampronti, Giulio I;Belenguer, Ana M;Steed, Jonathan W;Day, Graeme M;Oswald, Iain D H
通讯作者：
Oswald, Iain D H

Derisking the Polymorph Landscape: The Complex Polymorphism of Mexiletine Hydrochloride

DOI：
10.1021/acs.cgd.1c01009
发表时间：
2021-12-01
期刊：
CRYSTAL GROWTH & DESIGN
影响因子：
3.8
作者：
Andrews, Jessica L.;Lill, Sten O. Nilsson;Steed, Jonathan W.
通讯作者：
Steed, Jonathan W.

Minimizing Polymorphic Risk through Cooperative Computational and Experimental Exploration.

DOI：
10.1021/jacs.0c06749
发表时间：
2020-09-30
期刊：
Journal of the American Chemical Society
影响因子：
15
作者：
Taylor CR;Mulvee MT;Perenyi DS;Probert MR;Day GM;Steed JW
通讯作者：
Steed JW

Encapsulated Nanodroplet Crystallization of Organic-Soluble Small Molecules

DOI：
10.1016/j.chempr.2020.04.009
发表时间：
2020-07
期刊：
Chem
影响因子：
23.5
作者：
A. Tyler;Ronnie Ragbirsingh;C. McMonagle;P. Waddell;S. Heaps;J. Steed;P. Thaw;Michael J. Hall;M. Probert
通讯作者：
A. Tyler;Ronnie Ragbirsingh;C. McMonagle;P. Waddell;S. Heaps;J. Steed;P. Thaw;Michael J. Hall;M. Probert