The blood-brain barrier (BBB) is a crucial part of the human central nervous system (CNS). It is a cell layer functioning as a protective barrier for the brain against possible pathogenic organisms. It also regulates the transport of different molecules into the brain, including nutrients necessary for neural function, ions and drugs. This barrier plays an important role in the design of drugs because CNS-targeted compounds should cross the BBB to reach a certain therapeutic level in the brain tissue. However, high levels of non-CNS drugs appearing in the brain can cause unwanted side effects, making the BBB penetration a distinctive feature for CNS targeting. To understand the BBB penetration of drugs, Gupta et al. studied their physico-chemical property spaces and developed a score (called BBB Score) to predict if a drug is preferentially CNS or non-CNS active. The BBB Score is composed of 5 physico-chemical descriptors: the number of aromatic rings, the number of heavy atoms, MWHBN (a descriptor calculated from the molecular weight and the number of H-bond donor and acceptor atoms), the topological polar surface area (TPSA) and the pKa. The final score is calculated using stepwise (for descriptors with purely discrete values) and polynomial weight functions (for descriptors having continuous ranges). The research revealed that (tested on a set of 270 CNS and 720 non-CNS drugs) the BBB Score (a number between 0 and 6) is a distinctive predictor of CNS drug-likeness. Molecules with BBB Scores between 0 and less than 4 can be classified as non-CNS drugs, while molecules with BBB Scores between 4 and 6 can be classified as CNS drugs. Chemaxon's BBB Score Predictor is able to predict the BBB Score based on the formula published by Gupta et al.
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