In
the past decade or so there has been a dramatic increase in
the number of computational applications and tools that have been
developed to enable medicinal chemists to prosecute modern drug discovery
programs more efficiently. The upsurge of user-friendly, well-designed
computational tools that enable structure-based drug design (SBDD)
and cheminformatics (CI)-based drug design has equipped the medicinal
chemist with an arsenal of tools and applications that significantly
augments the entire design process, thereby enhancing the speed and
efficiency of the design–make–test–analyze cycle.
Modern computational applications and tools transcend all areas of
drug discovery, and most savvy medicinal chemists can employ them
effectively in a myriad of drug discovery applications. Indeed, the
sheer scope and breadth of tools available to the medicinal chemist
is vast and, to our knowledge, has not been comprehensively reviewed.
In this article we have catalogued many computational tools, platforms,
and applications that are currently available, with four main areas
highlighted: commercially available tools/platforms, open-source applications,
internally developed platforms (software tools developed within a
pharma or biotech organization), and artificial intelligence/machine
learning-based platforms. For ease of interpretation, for these categories
we provide tables organized by vendor or organization name, the name
of the application, whether the tool/application is employed predominantly
for SBDD or CI-based design, and a summary of the main function of
the tools, with associated hyperlinks to vendor Web sites. We have
tried to be as comprehensive and as inclusive as possible; however,
the pace of development of new and existing tools is so rapid that
there may be omissions with respect to newly developed tools and current
versions of the software.