Crystal Structure Prediction Methods for Organic Molecules: State of the Art.

Annu Rev Chem Biomol Eng

Molecular Systems Engineering Group, Centre for Process Systems Engineering, Department of Chemical Engineering, and Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom; email:

Published: June 2021

AI Article Synopsis

  • * Current methodologies for crystal structure prediction (CSP) are becoming viable for practical applications, and this article reviews their development and categorizes them based on similarities and differences.
  • * The article also highlights ongoing research areas aimed at enhancing the accuracy and broadened use of CSP techniques, while offering insights into future advancements in the field over the next ten years.

Article Abstract

The prediction of the crystal structures that a given organic molecule is likely to form is an important theoretical problem of significant interest for the pharmaceutical and agrochemical industries, among others. As evidenced by a series of six blind tests organized over the past 2 decades, methodologies for crystal structure prediction (CSP) have witnessed substantial progress and have now reached a stage of development where they can begin to be applied to systems of practical significance. This article reviews the state of the art in general-purpose methodologies for CSP, placing them within a common framework that highlights both their similarities and their differences. The review discusses specific areas that constitute the main focus of current research efforts toward improving the reliability and widening applicability of these methodologies, and offers some perspectives for the evolution of this technology over the next decade.

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Source
http://dx.doi.org/10.1146/annurev-chembioeng-060718-030256DOI Listing

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