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Metadata Updated: July 30, 2021

This paper compares the relative predictive ability and applicability to NTA workflows of three RT prediction models: (1) a logP (octanol-water partition coefficient)-based model using EPI SuiteTM logP predictions; (2) a commercially available ACD/ChromGenius model; and, (3) a newly developed Quantitative Structure Retention Relationship model called OPERA-RT.

This dataset is associated with the following publication: McEachran, A., K. Mansouri, S. Newton, B. Beverly, J. Sobus, and A. Williams. (TALANTA) A comparison of three liquid chromatography (LC) retention time prediction models. TALANTA. Elsevier Science Ltd, New York, NY, USA, 182: 371-379, (2018).

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Public: This dataset is intended for public access and use. License: See this page for license information.

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Metadata Created Date November 12, 2020
Metadata Updated Date July 30, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date July 30, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2017-10-03
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 6055d51a-00b3-4dfa-aab0-dde9551b185a
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:095
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash 9b642c205a199a3403470aff5bfe6a16056838b4
Source Schema Version 1.1

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