Classification models for safe drug molecules
AK Madan, S Bajaj, H Dureja - Computational Toxicology: Volume II, 2013 - Springer
Frequent failure of drug candidates during development stages remains the major deterrent
for an early introduction of new drug molecules. The drug toxicity is the major cause of …
for an early introduction of new drug molecules. The drug toxicity is the major cause of …
A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant …
Systems-biology inspired identification of drug targets and machine learning-based
screening of small molecules which modulate their activity have the potential to revolutionize …
screening of small molecules which modulate their activity have the potential to revolutionize …
Eukaryotic plasma cholesterol prediction from human GPCRs using K-means with support vector machine
R Tripathy, RK Nayak - Advanced Deep Learning for Engineers and …, 2021 - Springer
In cell physiology, eukaryotic membrane components have played significant role in every
aspect of human body. Amid all, membrane cholesterol is one who has the power to drop off …
aspect of human body. Amid all, membrane cholesterol is one who has the power to drop off …
Predicting ATP-Binding Cassette Transporters Using Rough Set and Random Forest Model
RK Nayak, R Tripathy - … Aspects of Biocomputing Systems for Data …, 2023 - igi-global.com
In reality, all homosapiens species benefit greatly from the function of ATP-binding cassette
(ABC) transporter proteins. Many studies have focused specifically on the drug transporter …
(ABC) transporter proteins. Many studies have focused specifically on the drug transporter …
[引用][C] Antioxidant Effect of P-glycoprotein Mediated Inhibition in Drug Bioavailability
N Vengala - Biochem Mol Biol Lett, 2017