PubChemLite Plus Collision Cross Section (CCS) Values for Enhanced Interpretation of Nontarget Environmental Data.

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Tác giả: Dagny Aurich, Erin S Baker, Evan E Bolton, James N Dodds, Anjana Elapavalore, Valentin Grouès, Sunghwan Kim, Allison M Krinsky, Dylan H Ross, Emma L Schymanski, Paul A Thiessen, Libin Xu, Jian Zhang

Ngôn ngữ: eng

Ký hiệu phân loại: 920.71 Men

Thông tin xuất bản: United States : Environmental science & technology letters , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 170319

Finding relevant chemicals in the vast (known) chemical space is a major challenge for environmental and exposomics studies leveraging nontarget high resolution mass spectrometry (NT-HRMS) methods. Chemical databases now contain hundreds of millions of chemicals, yet many are not relevant. This article details an extensive collaborative, open science effort to provide a dynamic collection of chemicals for environmental, metabolomics, and exposomics research, along with supporting information about their relevance to assist researchers in the interpretation of candidate hits. The PubChemLite for Exposomics collection is compiled from ten annotation categories within PubChem, enhanced with patent, literature and annotation counts, predicted partition coefficient (logP) values, as well as predicted collision cross section (CCS) values using CCSbase. Monthly versions are archived on Zenodo under a CC-BY license, supporting reproducible research, and a new interface has been developed, including historical trends of patent and literature data, for researchers to browse the collection. This article details how PubChemLite can support researchers in environmental and exposomics studies, describes efforts to increase the availability of experimental CCS values, and explores known limitations and potential for future developments. The data and code behind these efforts are openly available. PubChemLite can be browsed at https://pubchemlite.lcsb.uni.lu.
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