Evidence map›Paper›PMID 36252020›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A data-driven and topological mapping approach for the a priori prediction of stable molecular crystalline hydrates.

Richard S Hong, Alessandra Mattei, Ahmad Y Sheikh, Mark E Tuckerman

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Richard S HongSolid State Chemistry, Research & Development, AbbVie Inc., North Chicago, IL 60064.ORCID 0000-0002-4214-6847
Alessandra MatteiSolid State Chemistry, Research & Development, AbbVie Inc., North Chicago, IL 60064.ORCID 0000-0002-5194-6563
Ahmad Y SheikhSolid State Chemistry, Research & Development, AbbVie Inc., North Chicago, IL 60064.ORCID 0000-0002-5972-3938
Mark E TuckermanDepartment of Chemistry, New York University, New York, NY 10003.
AbbVie (United States) · USNew York University Shanghai · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictions of the structures of stoichiometric, fractional, or nonstoichiometric hydrates of organic molecular crystals are immensely challenging due to the extensive search space of different water contents, host molecular placements throughout the crystal, and internal molecular conformations. However, the dry frameworks of these hydrates, especially for nonstoichiometric or isostructural dehydrates, can often be predicted from a standard anhydrous crystal structure prediction (CSP) protocol. Inspired by developments in the field of drug binding, we introduce an efficient data-driven and topologically aware approach for predicting organic molecular crystal hydrate structures through a mapping of water positions within the crystal structure. The method does not require

Indexed as

WaterCrystallizationModels, MolecularMolecular ConformationMolecular StructureWatercrystal structure predictionhydrate polymorphs

Identifiers

PMID36252020
PMCPMC9618139
OpenAlexW4306641743

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.