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Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates

In this paper we discuss the link between the domain of physical parameters – molecular descriptors of a drug, and terahertz (THz) spectra. We measured the derivatives of the well-known anti-inflammatory drug Piroxicam using THz spectroscopy and employed Principal Component Analysis to build similar...

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Autores principales: Sterczewski, Lukasz A., Nowak, Kacper, Szlachetko, Boguslaw, Grzelczak, Michal P., Szczesniak-Siega, Berenika, Plinska, Stanislawa, Malinka, Wieslaw, Plinski, Edward F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674078/
https://www.ncbi.nlm.nih.gov/pubmed/29109507
http://dx.doi.org/10.1038/s41598-017-14819-6
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author Sterczewski, Lukasz A.
Nowak, Kacper
Szlachetko, Boguslaw
Grzelczak, Michal P.
Szczesniak-Siega, Berenika
Plinska, Stanislawa
Malinka, Wieslaw
Plinski, Edward F.
author_facet Sterczewski, Lukasz A.
Nowak, Kacper
Szlachetko, Boguslaw
Grzelczak, Michal P.
Szczesniak-Siega, Berenika
Plinska, Stanislawa
Malinka, Wieslaw
Plinski, Edward F.
author_sort Sterczewski, Lukasz A.
collection PubMed
description In this paper we discuss the link between the domain of physical parameters – molecular descriptors of a drug, and terahertz (THz) spectra. We measured the derivatives of the well-known anti-inflammatory drug Piroxicam using THz spectroscopy and employed Principal Component Analysis to build similarity maps in the molecular descriptor and spectral domains. We observed, that the spatial neighborhood on the molecular descriptors map is highly correlated with the spectral neighbourhood within a group of structurally-similar molecules. We built a Partial Least Squares (PLS) predictive model to quantify the relationship between the spectra and the melting point, which can guide the selection of early drug candidates.
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spelling pubmed-56740782017-11-15 Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates Sterczewski, Lukasz A. Nowak, Kacper Szlachetko, Boguslaw Grzelczak, Michal P. Szczesniak-Siega, Berenika Plinska, Stanislawa Malinka, Wieslaw Plinski, Edward F. Sci Rep Article In this paper we discuss the link between the domain of physical parameters – molecular descriptors of a drug, and terahertz (THz) spectra. We measured the derivatives of the well-known anti-inflammatory drug Piroxicam using THz spectroscopy and employed Principal Component Analysis to build similarity maps in the molecular descriptor and spectral domains. We observed, that the spatial neighborhood on the molecular descriptors map is highly correlated with the spectral neighbourhood within a group of structurally-similar molecules. We built a Partial Least Squares (PLS) predictive model to quantify the relationship between the spectra and the melting point, which can guide the selection of early drug candidates. Nature Publishing Group UK 2017-11-06 /pmc/articles/PMC5674078/ /pubmed/29109507 http://dx.doi.org/10.1038/s41598-017-14819-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sterczewski, Lukasz A.
Nowak, Kacper
Szlachetko, Boguslaw
Grzelczak, Michal P.
Szczesniak-Siega, Berenika
Plinska, Stanislawa
Malinka, Wieslaw
Plinski, Edward F.
Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title_full Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title_fullStr Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title_full_unstemmed Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title_short Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates
title_sort chemometric evaluation of thz spectral similarity for the selection of early drug candidates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674078/
https://www.ncbi.nlm.nih.gov/pubmed/29109507
http://dx.doi.org/10.1038/s41598-017-14819-6
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