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Selecting a stable solid form of remdesivir using microcrystal electron diffraction and crystal structure prediction.

Sivakumar SekharanXuetao LiuZhuocen YangXiang LiuLi DengShigang RuanYuriy AbramovGuangXu SunSizhu LiTian ZhouBaime ShiQun ZengQiao ZengChao ChangYingdi JinXuekun Shi
Published in: RSC advances (2021)
Therapeutic options in response to the coronavirus disease 2019 (COVID-19) outbreak are urgently needed. In this communication, we demonstrate how to support selection of a stable solid form of an antiviral drug remdesivir in quick time using the microcrystal electron diffraction (MicroED) technique and a cloud-based and artificial intelligence implemented crystal structure prediction platform. We present the MicroED structures of remdesivir forms II and IV and conclude that form II is more stable than form IV at ambient temperature in agreement with experimental observations. The combined experimental and theoretical study can serve as a template for formulation scientists in the pharmaceutical industry.
Keyphrases
  • crystal structure
  • artificial intelligence
  • coronavirus disease
  • machine learning
  • big data
  • deep learning
  • air pollution
  • drug delivery
  • particulate matter
  • emergency department
  • solid phase extraction