title: Acetylcholinesterase inhibitors from QSAR point of view: how close are we?
abstract: In view of the large libraries of acetylcholinesterase inhibitors (AChEIs) that are now being handled in organic synthesis, the identification of drug biological activity is advisable prior to synthesis and this can be achieved by employing predictive biological property methods. In this sense, Quantitative Structure-Activity Relationships (QSAR) or docking approaches have emerged as promising tools. The intention of this review is to summarize the present knowledge concerning computational predictions of AChEIs and AChE.
authors.affiliation: Rayat-Bahra Institute of Pharmacy, Hoshiarpur, India. pharmaword@gmail.com
authors.forename: Anuradha
authors.initials: A
authors.lastname: Sharma
authors.forename: Poonam
authors.initials: P
authors.lastname: Piplani
mesh_terms: D000110:Acetylcholinesterase / Q000378:metabolism; D000818:Animals; D002800:Cholinesterase Inhibitors / Q000737:chemistry* / Q000494:pharmacology* / Q000627:therapeutic use; D015195:Drug Design; D006801:Humans; D009422:Nervous System Diseases / Q000188:drug therapy / Q000201:enzymology; D021281:Quantitative Structure-Activity Relationship
chemical_list: D002800:Cholinesterase Inhibitors; D000110:Acetylcholinesterase