Prediction of blood-brain barrier permeability of compounds by machine learning algorithms

• Main Authors: Feng, Tan wei, Raihana Zahirah, Edros, Ngahzaifa, Ab Ghani, Siti Umairah, Mokhtar, Dong, Ruihai
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Subjects: HD28 Management. Industrial Management; QA75 Electronic computers. Computer science; T Technology (General); TA Engineering (General). Civil engineering (General); TP Chemical technology
• Online Access: http://umpir.ump.edu.my/id/eprint/39985/1/Prediction%20of%20blood-brain%20barrier%20permeability%20of%20compounds%20by%20machine.pdf; http://umpir.ump.edu.my/id/eprint/39985/; https://doi.org/10.37934/araset.33.2.269276; https://doi.org/10.37934/araset.33.2.269276
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

In the drug development for the Central Nervous System (CNS), the discovery of the compounds that can pass through the brain across the Blood-Brain Barrier (BBB) is the most challenging assessment. Almost 98% of small molecules are unable to permeate BBB, reducing the pharmacokinetics of the drugs i...