[HTML][HTML] Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics …

T Takeda, M Hao, T Cheng, SH Bryant… - Journal of …, 2017 - Springer
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

[HTML][HTML] Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics …

T Takeda, M Hao, T Cheng, SH Bryant… - Journal of …, 2017 - ncbi.nlm.nih.gov
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug-drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

T Takeda, M Hao, T Cheng… - Journal of …, 2017 - pubmed.ncbi.nlm.nih.gov
Drug-drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

T Takeda, M Hao, T Cheng, SH Bryant… - Journal of …, 2017 - infona.pl
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug-drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge.

T Takeda, M Hao, T Cheng… - Journal of …, 2017 - search.ebscohost.com
Drug-drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug-drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge.

T Takeda, M Hao, T Cheng, SH Bryant… - Journal of …, 2017 - europepmc.org
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

[HTML][HTML] Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics …

T Takeda, M Hao, T Cheng… - Journal of …, 2017 - jcheminf.biomedcentral.com
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

[PDF][PDF] Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics …

T Takeda, M Hao, T Cheng, SH Bryant, Y Wang - 2017 - core.ac.uk
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

T Takeda, M Hao, T Cheng… - Journal of …, 2017 - search.proquest.com
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

T Takeda, M Hao, T Cheng, SH Bryant… - Journal of …, 2017 - infona.pl
Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …