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DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds
Research article (Digital Discovery, 2022) · cited 23× · AI/ML
DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds
Summary
DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds is a scholarly article[1].
Key Facts
DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds'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). DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepac-conditional-transformer-based-chemical-language-model-for-the-prediction-of-activity-cliffs-formed-by-bioactive-c
MLA“DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepac-conditional-transformer-based-chemical-language-model-for-the-prediction-of-activity-cliffs-formed-by-bioactive-c.
BibTeX@misc{4ortxyz_deepac-conditional-transformer-based-chemical-language-model-for-the-prediction-of-activity-cliffs-formed-by-bioactive-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds}}, year = {2026}, url = {https://4ort.xyz/entity/deepac-conditional-transformer-based-chemical-language-model-for-the-prediction-of-activity-cliffs-formed-by-bioactive-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds — https://4ort.xyz/entity/deepac-conditional-transformer-based-chemical-language-model-for-the-prediction-of-activity-cliffs-formed-by-bioactive-c (retrieved 2026-05-24)
