Biography and Research Information
OverviewAI-generated summary
Meng Song's research contributes to the development of computational tools for toxicological assessment. Song is the author of a 2023 publication introducing EADB, a database designed to aid in the creation of Quantitative Structure-Activity Relationship (QSAR) models for evaluating endocrine activity. This work is supported by collaborations with researchers at the National Center for Toxicological Research, including Tucker A. Patterson, Fan Dong, and Zoe Li, with whom Song has co-authored publications. Song's scholarly profile includes an h-index of 1 and a total of 1 publication with 1 citation.
Metrics
- h-index: 1
- Publications: 1
- Citations: 1
Selected Publications
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EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity (2023)
Collaboration Network
Top Collaborators
Fan Dong
National Center for Toxicological Research
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Wenjing Guo
United States Food and Drug Administration
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Jie Liu
National Center for Toxicological Research
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Liang Xu
United States Food and Drug Administration (US)
1 shared publication
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Myeongsang Lee
United States Food and Drug Administration (US)
1 shared publication
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Zoe Li
National Center for Toxicological Research
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Tucker A. Patterson
National Center for Toxicological Research
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
Huixiao Hong
United States Food and Drug Administration
1 shared publication
In database
- EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity
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