Home ›
Entities
› academia
› Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations
Research article (Journal of Biomedical Informatics, 2021) · cited 29× · AI/ML
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations
Summary
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations is a scholarly article[1].
Key Facts
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-enabled-identification-of-potential-sars-cov-2-3clpro-inhibitors-based-on-fixed-molecular-fingerprints-
MLA“Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-enabled-identification-of-potential-sars-cov-2-3clpro-inhibitors-based-on-fixed-molecular-fingerprints-.
BibTeX@misc{4ortxyz_machine-learning-enabled-identification-of-potential-sars-cov-2-3clpro-inhibitors-based-on-fixed-molecular-fingerprints-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-enabled-identification-of-potential-sars-cov-2-3clpro-inhibitors-based-on-fixed-molecular-fingerprints-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations — https://4ort.xyz/entity/machine-learning-enabled-identification-of-potential-sars-cov-2-3clpro-inhibitors-based-on-fixed-molecular-fingerprints- (retrieved 2026-05-24)