Home Chemistry Molecules of the 12 months -2022. Information points! « Henry Rzepa’s Weblog

Molecules of the 12 months -2022. Information points! « Henry Rzepa’s Weblog

Molecules of the 12 months -2022. Information points! « Henry Rzepa’s Weblog

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The record of molecules of the 12 months is out now at C&E Information (however you must have an account to view the record, not like earlier years). These three caught my eye:

  1. Electron in a dice: Synthesis and characterization of perfluorocubane as an electron acceptor,[1]. I’ve already written about this technique and won’t talk about it additional, besides to notice this one topped the ballot!
  2. Vernier template synthesis of molecular knots[2]
  3. Megalo-Cavitands: Synthesis of Acridane[4]arenes and Formation of Massive, Deep Cavitands for Selective C70 Uptake[3]

The final two are examples of enormous three-dimensional molecules with uncommon properties. The second is an instance of a trefoil-of-trefoils, known as a triskelion knot and I used to be very eager to pay money for its coordinates in order that I may examine the knotting. I believed I’d summarise right here the hierarchical procedures one may strive for buying such knowledge.

  • Probably the most fashionable methodology of buying knowledge related to an article is to examine the quotation record on the finish of the article. The pattern inspired by the FAIR knowledge rules means that if such knowledge has an related DOI (as certainly the article itself does), then this DOI needs to be cited within the citations identical to articles themselves. This idea is also called treating knowledge as a top quality citizen of the scholarly processes. On this case no knowledge was related to the 81 citations listed at 10.1126/science.abm9247
  • The prevalent methodology since ~1996 has been to subsequent obtain any ESI. That’s linked right here. I can not assist however observe that the PDF format shouldn’t be one optimised for knowledge, however its higher than nothing. This PDF has 114 pages, and one finally finds the next on p 103: buildings and corresponding energies uploaded to the Github database (https://github.com/kjhstenlid/AshbridgeVernier2022/). Github is called a software program repository, however its use as an information repository is uncommon. Thus no DOI is assigned this knowledge (which might clarify why its not listed within the article citations). Right here one learns from the readme that it incorporates Molecular knot buildings in cif-file format for the Verner and Sheild knots.
  • To get this knowledge one has to faux it’s code, and obtain the ZIP code archive. The CIF file discovered there nonetheless offers a deadly error when making an attempt to load right into a CIF viewer equivalent to Mercury: Studying cell from Cif failed, couldn’t retrieve ‘_cell_length+a’. The CIF is clearly not generated from a crystallographic evaluation program however a modelling program and is clearly invalid as a CIF.
  • One now has to fall again seeing if the CIF file might be rescued utilizing a textual content editor. That is non-trivial however about 10 minutes of enhancing lastly produces a file that may be seen.
  • Right here is the 3D construction (click on on the picture to view).

Now for the Megalo-Cavitands (or not). Simply as above, one results in a 49-page PDF file searching for coordinates. There one will get footage of PM6-computed fashions beginning on p 28, however alas apparently no related coordinates.

So no 3D fashions to point out right here then (sorry, clicking on the picture above won’t produce them).

My concluding comment needs to be that when an attention-grabbing molecule is chosen for inclusion in eg the molecules of the 12 months – 2022, one of many standards for its inclusion is that the supply of full and FAIR knowledge describing its properties needs to be one of many important standards for choice.


I observe the strategy used to generate these coordinates (PM6) is probably not perfect; it incorporates no dispersion attraction phrases, that are most likely vital if modelling host-guest complexation. The PM7 methodology which does is much better for this form of factor! This highlights the significance of offering knowledge, on this case 3D coordinates. It might be attention-grabbing to recompute the size of those molecules utilizing a technique that does permit for dispersion points of interest to be included. For simply such an instance, see right here.
I’ve contacted the authors of [3] and it seems a reference to a Information repository submission was omitted from the article. The info is at DOI: 10.5281/zenodo.6953961 and I’ll report individually on my evaluation of the impact of changing PM6 with PM7.
See this open letter about adjustments at C&EN.


This put up has DOI: 10.14469/hpc/12028


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