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MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network
Research article (Bioinformatics, 2021) · cited 94× · AI/ML
MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network
Summary
MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network is a scholarly article[1].
Key Facts
MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network'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). MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network. Retrieved May 24, 2026, from https://4ort.xyz/entity/multidti-drugtarget-interaction-prediction-based-on-multi-modal-representation-learning-to-bridge-the-gap-between-new-ch
MLA“MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multidti-drugtarget-interaction-prediction-based-on-multi-modal-representation-learning-to-bridge-the-gap-between-new-ch.
BibTeX@misc{4ortxyz_multidti-drugtarget-interaction-prediction-based-on-multi-modal-representation-learning-to-bridge-the-gap-between-new-ch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network}}, year = {2026}, url = {https://4ort.xyz/entity/multidti-drugtarget-interaction-prediction-based-on-multi-modal-representation-learning-to-bridge-the-gap-between-new-ch}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network — https://4ort.xyz/entity/multidti-drugtarget-interaction-prediction-based-on-multi-modal-representation-learning-to-bridge-the-gap-between-new-ch (retrieved 2026-05-24)
