title: Databases and QSAR for cancer research.
abstract: In this review, we take a survey of bioinformatics databases and quantitative structure-activity relationship studies reported in published literature. Databases from the most general to special cancer-related ones have been included. Most commonly used methods of structure-based analysis of molecules have been reviewed, along with some case studies where they have been used in cancer research. This article is expected to be of use for general bioinformatics researchers interested in cancer and will also provide an update to those who have been actively pursuing this field of research.
authors.affiliation: Department of Biosciences, Jamia Millia Islamia University, New Delhi-110025, India.
authors.forename: Adeel
authors.initials: A
authors.lastname: Malik
authors.forename: Hemajit
authors.initials: H
authors.lastname: Singh
authors.forename: Munazah
authors.initials: M
authors.lastname: Andrabi
authors.forename: Syed Akhtar
authors.initials: SA
authors.lastname: Husain
authors.forename: Shandar
authors.initials: S
authors.lastname: Ahmad