Evidence map›Paper›PMID 36703331›Full record

ArticleCommunications chemistry2020

Rich polymorphism in nicotinamide revealed by melt crystallization and crystal structure prediction.

Xizhen Li, Xiao Ou, Bingquan Wang, Haowei Rong, Bing Wang, Chao Chang, Baimei Shi, Lian Yu, Ming Lu

Abstract read
In one paragraph

Article in Communications chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  6. A Conceptual Framework for the Crystallizability of Organic Compounds.Journal of the American Chemical Society · 2025
    Article
  7. Article
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  10. Article
  11. Polymorphs of SubstitutedACS omega · 2023
    Article
  12. Article
  13. Article
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  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xizhen Li *School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Xiao Ou *School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Bingquan Wang *School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Haowei RongSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Bing WangShenzhen Jingtai Technology Co., Ltd. (XtalPi Inc.), Shenzhen, China.ORCID http://orcid.org/0000-0003-1034-7043
Chao ChangShenzhen Jingtai Technology Co., Ltd. (XtalPi Inc.), Shenzhen, China.
Baimei ShiShenzhen Jingtai Technology Co., Ltd. (XtalPi Inc.), Shenzhen, China.
Lian YuSchool of Pharmacy, University of Wisconsin - Madison, Madison, WI, USA.
Ming LuSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China. luming3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-2622-1528

Funding

Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2020A1515010782
6 · The paper itself

Abstract

Overprediction is a major limitation of current crystal structure prediction (CSP) methods. It is difficult to determine whether computer-predicted polymorphic structures are artefacts of the calculation model or are polymorphs that have not yet been found. Here, we reported the well-known vitamin nicotinamide (NIC) to be a highly polymorphic compound with nine solved single-crystal structures determined by performing melt crystallization. A CSP calculation successfully identifies all six Z' = 1 and 2 experimental structures, five of which defy 66 years of attempts at being explored using solution crystallization. Our study demonstrates that when combined with our strategy for cultivating single crystals from melt microdroplets, melt crystallization has turned out to be an efficient tool for exploring polymorphic landscapes to better understand polymorphic crystallization and to more effectively test the accuracy of theoretical predictions, especially in regions inaccessible by solution crystallization.

Identifiers

PMID36703331
PMCPMC9814109

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.