5 papers
Meta-analysis and Topological Perturbation in Interactomic Network for Anti-opioid Addiction Drug Repurposing
Chunhuan Zhang, Sean Cottrell, Benjamin Jones +5
The ongoing opioid crisis highlights the urgent need for novel therapeutic strategies that can be rapidly deployed. This study presents a novel approach to identify potential repur…
Machine learning predictions from unpredictable chaos
Jian Jiang, Long Chen, Lu ke +7
Chaos is omnipresent in nature, and its understanding provides enormous social and economic benefits. However, the unpredictability of chaotic systems is a textbook concept due to…
Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia
Jian Jiang, Long Chen, Yueying Zhu +5
Anesthetics are crucial in surgical procedures and therapeutic interventions, but they come with side effects and varying levels of effectiveness, calling for novel anesthetic agen…
Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels
Long Chen, Jian Jiang, Bozheng Dou +6
Pain is a significant global health issue, and the current treatment options for pain management have limitations in terms of effectiveness, side effects, and potential for addicti…
TIDAL: Topology-Inferred Drug Addiction Learning
Zhu Zailiang, Dou Bozheng, Cao Yukang +8
Drug addiction or drug overdose is a global public health crisis, and the design of anti-addiction drugs remains a major challenge due to intricate mechanisms. Since experimental d…