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Analysis of structure-activity and structure-mechanism relationships among thyroid stimulating hormone receptor
Ajaya Kumar Sahoo1,2, Shanmuga Priya Baskaran1,2, Nikhil Chivukula1,2
1The Institute of Mathematical Sciences (IMSc) Chennai 600113 India asamal@imsc.res.in.
Abstract:
The thyroid stimulating hormone receptor (TSHR) is crucial in thyroid hormone production in humans, and dysregulation in TSHR activation can lead to adverse health effects such as hypothyroidism and Graves' disease. Further, animal studies have shown that binding of endocrine disrupting chemicals (EDCs) with TSHR can lead to developmental toxicity. Hence, several such chemicals have been screened for their adverse physiological effects in human cell lines via high-throughput assays in the ToxCast project. The invaluable data generated by the ToxCast project has enabled the development of toxicity predictors, but they can be limited in their predictive ability due to the heterogeneity in structure-activity relationships among chemicals. Here, we systematically investigated the heterogeneity in structure-activity as well as structure-mechanism relationships among the TSHR binding chemicals from ToxCast. By employing a structure-activity similarity (SAS) map, we identified 79 activity cliffs among 509 chemicals in TSHR agonist dataset and 69 activity cliffs among 650 chemicals in the TSHR antagonist dataset. Further, by using the matched molecular pair (MMP) approach, we find that the resultant activity cliffs (MMP-cliffs) are a subset of activity cliffs identified via the SAS map approach. Subsequently, by leveraging ToxCast mechanism of action (MOA) annotations for chemicals common to both TSHR agonist and TSHR antagonist datasets, we identified 3 chemical pairs as strong MOA-cliffs and 19 chemical pairs as weak MOA-cliffs. In conclusion, the insights from this systematic investigation of the TSHR binding chemicals are likely to inform ongoing efforts towards development of better predictive toxicity models for characterization of the chemical exposome.
Insights
This study analyzed thyroid stimulating hormone receptor (TSHR) binding chemicals from ToxCast, identifying significant structure-activity and structure-mechanism relationships to improve toxicity prediction models.
Area of Science:
- Environmental Toxicology
- Computational Chemistry
- Endocrinology
Background:
- Thyroid stimulating hormone receptor (TSHR) is vital for thyroid hormone production; its dysregulation causes hypothyroidism and Graves' disease.
- Endocrine disrupting chemicals (EDCs) binding to TSHR can cause developmental toxicity, necessitating toxicity assessments.
- ToxCast project data aids toxicity prediction but is limited by chemical structure-activity relationship heterogeneity.
Purpose of the Study:
- To systematically investigate heterogeneity in structure-activity and structure-mechanism relationships among TSHR-binding chemicals in ToxCast.
- To identify activity cliffs and mechanism of action cliffs to enhance predictive toxicity modeling.
Main Methods:
- Utilized structure-activity similarity (SAS) mapping to identify activity cliffs in TSHR agonist and antagonist datasets.
- Employed the matched molecular pair (MMP) approach to analyze activity cliffs.
- Leveraged ToxCast mechanism of action (MOA) annotations to identify MOA-cliffs.
Main Results:
- Identified 79 activity cliffs in the TSHR agonist dataset (509 chemicals) and 69 in the TSHR antagonist dataset (650 chemicals) via SAS mapping.
- MMP-cliffs were found to be a subset of SAS map-identified activity cliffs.
- Discovered 3 strong and 19 weak MOA-cliffs among common chemicals in both datasets.
Conclusions:
- This systematic investigation reveals critical insights into TSHR-binding chemical heterogeneity.
- Findings will inform the development of improved predictive toxicity models for the chemical exposome.
- Understanding structure-activity and structure-mechanism relationships is key to accurate toxicity prediction.
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