Literature DB >> 30039146

Crystal structure prediction is changing from basic science to applied technology.

Jonas Nyman1, Susan M Reutzel-Edens.   

Abstract

Over the past three decades, the development of methods for Crystal Structure Prediction (CSP) has primarily been curiosity-driven. Because of the obvious potential for economic gain from CSP, commercial interests can be assumed to eventually take over as the main driving force of development. We argue that this transition is happening right now, not only for commercial CSP providers, but also for consumers within industry. In the context of industry-wide efforts, we describe the exploration in CSP research and algorithm development by one large pharmaceutical company, Eli Lilly and Company, and the impact that this has had on experimental solid form screening and selection. We expect that, once CSP is sufficiently reliable and automated, it will become a standard tool for analytical chemistry, on par with X-ray diffraction, calorimetry and spectroscopy.

Year:  2018        PMID: 30039146     DOI: 10.1039/c8fd00033f

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  6 in total

1.  Read between the Molecules: Computational Insights into Organic Semiconductors.

Authors:  Ganna Gryn'ova; Kun-Han Lin; Clémence Corminboeuf
Journal:  J Am Chem Soc       Date:  2018-11-19       Impact factor: 15.419

2.  Mining predicted crystal structure landscapes with high throughput crystallisation: old molecules, new insights.

Authors:  Peng Cui; David P McMahon; Peter R Spackman; Ben M Alston; Marc A Little; Graeme M Day; Andrew I Cooper
Journal:  Chem Sci       Date:  2019-09-17       Impact factor: 9.825

3.  Quantum Mechanical-Based Stability Evaluation of Crystal Structures for HIV-Targeted Drug Cabotegravir.

Authors:  Yanqiang Han; Hongyuan Luo; Qianqian Lu; Zeying Liu; Jinyun Liu; Jiarui Zhang; Zhiyun Wei; Jinjin Li
Journal:  Molecules       Date:  2021-11-26       Impact factor: 4.411

4.  A complete description of thermodynamic stabilities of molecular crystals.

Authors:  Venkat Kapil; Edgar A Engel
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-08       Impact factor: 11.205

Review 5.  Computational Tools to Rationalize and Predict the Self-Assembly Behavior of Supramolecular Gels.

Authors:  Ruben Van Lommel; Wim M De Borggraeve; Frank De Proft; Mercedes Alonso
Journal:  Gels       Date:  2021-07-09

Review 6.  Control and prediction of the organic solid state: a challenge to theory and experiment.

Authors:  Sarah L Price
Journal:  Proc Math Phys Eng Sci       Date:  2018-09-19       Impact factor: 2.704

  6 in total

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