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Prediction of Mass Spectral Response Factors from Predicted Chemometric Data for Druglike Molecules

Prediction of Mass Spectral Response Factors from Predicted Chemometric Data for Druglike Molecules

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_osti_scitechconnect_22777088

Prediction of Mass Spectral Response Factors from Predicted Chemometric Data for Druglike Molecules

About this item

Full title

Prediction of Mass Spectral Response Factors from Predicted Chemometric Data for Druglike Molecules

Publisher

New York: Springer US

Journal title

Journal of the American Society for Mass Spectrometry, 2017-02, Vol.28 (2), p.278-285

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

A method is developed for the prediction of mass spectral ion counts of drug-like molecules using in silico calculated chemometric data. Various chemometric data, including polar and molecular surface areas, aqueous solvation free energies, and gas-phase and aqueous proton affinities were computed, and a statistically significant relationship betwe...

Alternative Titles

Full title

Prediction of Mass Spectral Response Factors from Predicted Chemometric Data for Druglike Molecules

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_osti_scitechconnect_22777088

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_osti_scitechconnect_22777088

Other Identifiers

ISSN

1044-0305

E-ISSN

1879-1123

DOI

10.1007/s13361-016-1536-4

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