TY  -  
T1  - IDAAPM : integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug data 
SN  -  /  
UR  - http://hdl.handle.net/10138/164952 
T3  -  
A1  - Legehar, Ashenafi; Xhaard, Henri; Ghemtio, Leo 
A2  -  
PB  -  
Y1  - 2016 
LA  - eng 
AB  - Background: The disposition of a pharmaceutical compound within an organism, i.e. its Absorption, Distribution, Metabolism, Excretion, Toxicity (ADMET) properties and adverse effects, critically affects late stage failure of drug candidates and has led to the withdrawal of approved drugs. Computational methods are effective approaches to reduce the number of safety issues by analyzing possible links between chemical structures and ADMET or adverse effects, but this is limited by the size, qualit... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - FDA approved drugs; ADMET; Adverse effects; Targets; Database; Predictive modeling; Drug-target database; Data analysis; IN-SILICO PREDICTION; PHARMACEUTICAL RESEARCH; TRANSPORTER DATABASE; MEDICINAL CHEMISTRY; PHARMACOLOGY; INFORMATION; TOXICOLOGY; DISCOVERY; TARGET; RATES; 116 Chemical sciences; 113 Computer and information sciences 
N1  -   
PP  -  
ER  -