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Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors
Research article (Journal of Molecular Structure, 2020) · cited 65× · AI/ML
Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors
Summary
Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors is a scholarly article[1].
Key Facts
Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors. Retrieved May 24, 2026, from https://4ort.xyz/entity/chemical-informatics-approach-to-covid-19-drug-discovery-exploration-of-important-fragments-and-data-mining-based-predic
MLA“Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/chemical-informatics-approach-to-covid-19-drug-discovery-exploration-of-important-fragments-and-data-mining-based-predic.
BibTeX@misc{4ortxyz_chemical-informatics-approach-to-covid-19-drug-discovery-exploration-of-important-fragments-and-data-mining-based-predic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors}}, year = {2026}, url = {https://4ort.xyz/entity/chemical-informatics-approach-to-covid-19-drug-discovery-exploration-of-important-fragments-and-data-mining-based-predic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors — https://4ort.xyz/entity/chemical-informatics-approach-to-covid-19-drug-discovery-exploration-of-important-fragments-and-data-mining-based-predic (retrieved 2026-05-24)
