Home ›
Entities
› academia
› Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors
Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors
Research article (Journal of Chemical Information and Modeling, 2019) · cited 31× · AI/ML
Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors
Summary
Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors is a scholarly article[1].
Key Facts
Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors'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). Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors. Retrieved May 24, 2026, from https://4ort.xyz/entity/time-domain-analysis-of-molecular-dynamics-trajectories-using-deep-neural-networks-application-to-activity-ranking-of-ta
MLA“Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/time-domain-analysis-of-molecular-dynamics-trajectories-using-deep-neural-networks-application-to-activity-ranking-of-ta.
BibTeX@misc{4ortxyz_time-domain-analysis-of-molecular-dynamics-trajectories-using-deep-neural-networks-application-to-activity-ranking-of-ta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors}}, year = {2026}, url = {https://4ort.xyz/entity/time-domain-analysis-of-molecular-dynamics-trajectories-using-deep-neural-networks-application-to-activity-ranking-of-ta}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors — https://4ort.xyz/entity/time-domain-analysis-of-molecular-dynamics-trajectories-using-deep-neural-networks-application-to-activity-ranking-of-ta (retrieved 2026-05-24)
