Evidence map›Paper›PMID 39006239›Full record

ArticleChem2024

Data-science-guided calibration curve prediction of an MLCT-based ee determination assay for chiral amines.

James R Howard, Julia R Shuluk, Arya Bhakare, Eric V Anslyn

Abstract read
In one paragraph

Article in Chem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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.

James R HowardDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78705 (USA).
Julia R ShulukDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78705 (USA).
Arya BhakareDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78705 (USA).
Eric V AnslynDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78705 (USA).

Funding

Refining & Implementing Supramolecular Methods for HTS of EE & ConcentrationR01GM077437 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V. · 2006 to 2021
$3.4M
Facilitating the Chemistry of FluorosequencingR35GM149308 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Eric V. Anslyn · 2023 to 2026
$1.5M
Bruker AVANCE III HD 500 MHz NMRS10OD021508 · OD · UNIVERSITY OF TEXAS AT AUSTIN · PI SESSLER, JONATHAN L · 2016 to 2016
$529k
NIGMS NIH HHS R01 GM077437NIGMS NIH HHS R35 GM149308NIH HHS S10 OD021508
6 · The paper itself

Abstract

Circular dichroism (CD) based enantiomeric excess (ee) determination assays are optical alternatives to chromatographic ee determination in high-throughput screening (HTS) applications. However, the implementation of these assays requires calibration experiments using enantioenriched materials. We present a data-driven approach that circumvents the need for chiral resolution and calibration experiments for an octahedral Fe(II) complex (1) used for the ee determination of α-chiral primary amines. By computationally parameterizing the imine ligands formed in the assay conditions, a model of the circular dichroism (CD) response of the Fe(II) assembly was developed. Using this model, calibration curves were generated for four analytes and compared to experimentally generated curves. In a single-blind ee determination study, the ee values of unknown samples were determined within 9% mean absolute error, which rivals the error using experimentally generated calibration curves.

Indexed as

cheminformaticschemosensorcircular dichroismdata drivenee determination

Identifiers

PMID39006239
PMCPMC11243635

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Registered trials

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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.