title: Can we predict blood brain barrier permeability of ligands using computational approaches?
abstract: An ideal neurotherapeutics agent for central nervous system (CNS) molecular targets should cross Blood Brain Barrier (BBB) whereas peripherally acting agent should not cross BBB to avoid CNS related side effects. Hence prediction of BBB permeability index has been proved to be an efficient tool for drug discovery and development. Various experimental and computational approaches are being used in recent past for the prediction of BBB permeability and they have been successful up to some extent. However the accuracy and authenticity of these methods have been under question. The current review article attempts to answer a vital question that is, can we predict BBB permeability using computational approaches.
authors.affiliation: Amity Institute of Biotechnology (AIB), Amity University Uttar Pradesh (AUUP), Lucknow 226010, Uttar Pradesh, India.
authors.forename: Rajnish
authors.initials: R
authors.lastname: Kumar
authors.forename: Anju
authors.initials: A
authors.lastname: Sharma
authors.forename: Rajesh Kumar
authors.initials: RK
authors.lastname: Tiwari
mesh_terms: D000818:Animals; D001812:Blood-Brain Barrier / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D008024:Ligands; D008954:Models, Biological; D010539:Permeability
chemical_list: D008024:Ligands