Unprecedented Packing Polymorphism of Oxindole: An Exploration Inspired by Crystal Structure Prediction

Author:

Wu Emily J.1ORCID,Kelly Andrew W.1ORCID,Iuzzolino Luca2ORCID,Lee Alfred Y.1ORCID,Zhu Xiaolong1ORCID

Affiliation:

1. Analytical Research & Development Merck & Co., Inc. Rahway, New Jersey 07065 United States

2. Modeling & Informatics, Discovery Chemistry Merck & Co., Inc. Rahway, New Jersey 07065 United States

Abstract

AbstractCrystal polymorphism, characterized by different packing arrangements of the same compound, strongly ties to the physical properties of a molecule. Determining the polymorphic landscape is complex and time‐consuming, with the number of experimentally observed polymorphs varying widely from molecule to molecule. Furthermore, disappearing polymorphs, the phenomenon whereby experimentally observed forms cannot be reproduced, pose a significant challenge for the pharmaceutical industry. Herein, we focused on oxindole (OX), a small rigid molecule with four known polymorphs, including a reported disappearing form. Using crystal structure prediction (CSP), we assessed OX solid‐state landscape and thermodynamic stability by comparing predicted structures with experimentally known forms. We then performed melt and solution crystallization in bulk and nanoconfinement to validate our predictions. These experiments successfully reproduced the known forms and led to the discovery of four novel polymorphs. Our approach provided insights into reconstructing disappearing polymorphs and building more comprehensive polymorph landscapes. These results also establish a new record of packing polymorphism for rigid molecules.

Publisher

Wiley

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