2021
DOI: 10.1039/d1cp02428k
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Exploring machine learning methods for absolute configuration determination with vibrational circular dichroism

Abstract: The added value of supervised Machine Learning (ML) methods to determine the Absolute Configuration (AC) of compounds from their Vibrational Circular Dichroism (VCD) spectra was explored. Among all ML methods...

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Cited by 8 publications
(12 citation statements)
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“…A wide range of ML methodologies have been proposed to improve computational accuracy, cost, and speed in IR, Raman, VCD, and ECD spectra (Figure ). Similar advances must be possible for TCD spectroscopy, too. Although there are no (to the best of our knowledge) ML-based methodologies developed and published for TCD yet, special features of this spectroscopy and its implementation for multidimensional analysis of the biological and abiological structures discussed above make this spectroscopy particularly suitable for the application of ML.…”
Section: Future Directionsmentioning
confidence: 99%
See 1 more Smart Citation
“…A wide range of ML methodologies have been proposed to improve computational accuracy, cost, and speed in IR, Raman, VCD, and ECD spectra (Figure ). Similar advances must be possible for TCD spectroscopy, too. Although there are no (to the best of our knowledge) ML-based methodologies developed and published for TCD yet, special features of this spectroscopy and its implementation for multidimensional analysis of the biological and abiological structures discussed above make this spectroscopy particularly suitable for the application of ML.…”
Section: Future Directionsmentioning
confidence: 99%
“…(b) ML-based simulation of VCD spectra of (+)-α-pinene. Reprinted with permission from ref . Copyright 2021 Royal Society of Chemistry.…”
Section: Future Directionsmentioning
confidence: 99%
“…Visual comparison will be explored in a search of either similar or discriminative vibrational bands for individual molecules. Then, inspired by a recent proof-of-concept study using machine learning (ML) to extract absolute configurations from VCD spectra of decorated α-pinene derivatives, 57 we will extend the application of the ML methodology to identify monoterpenes in complex mixtures, such as essential oils which, to the best of our best knowledge, has not been tested for VCD. In this way, we will assess the feasibility of such an approach and identify possible pitfalls for its future development.…”
Section: Introductionmentioning
confidence: 99%
“…45 For detailed information about the various methods of VCD spectra calculation, the quantum-mechanical theory behind them, MD simulations for the explicit description of solvent effects, and the transfer to machine learning methods, the reader shall be referred to the existing literature. 17,21,25,[46][47][48][49][50][51][52][53][54]…”
Section: Introductionmentioning
confidence: 99%
“…The reader should bear in mind that AC determination is still not a black‐box method and every computational method is prone to error 45 . For detailed information about the various methods of VCD spectra calculation, the quantum‐mechanical theory behind them, MD simulations for the explicit description of solvent effects, and the transfer to machine learning methods, the reader shall be referred to the existing literature 17,21,25,46–54 …”
Section: Introductionmentioning
confidence: 99%