VQLM: a Visual Query Language for Macromolecular structural databases.
Databases of macromolecular structures allow researchers to identify general principles of molecular behavior. They do this by providing a variety of data obtained under a number of different experimental conditions. Many new tools have been developed recently to aid in exploratory analysis of structural data. However, some queries of interest still require considerable manual filtering of data. In particular, studies attempting to make generalizations about complex arrangements of atoms or building blocks in macromolecular structures cannot be approached directly with existing tools. Such studies are frequently carried out on only a few structures or else require a labor-intensive process. To address this problem, we have developed a visual language, VQLM (Visual Query Language for Macromolecules). A query is formulated in this language by drawing an abstract picture of substructures to be searched for in the database and specifying constraints on the objects in them. To illustrate the usefulness of our language, we show how to encode a number of queries that were found scientifically interesting in the published literature in molecular biology. VQLM relies on VQL, a new database language, as its underlying engine for database retrieval and computation. We believe that VQLM will make macromolecular structural data more accessible to scientists, enabling faster and deeper data analysis.
Cohen
D
D
Keck Center for Computational Biology, University of Pittsburgh, PA 15260, USA.
Vadaparty
K
K
Dickinson
B
B
Salem
H
H
D000818:Animals; D003628:Database Management Systems; D016208:Databases, Factual; D006801:Humans; D046911:Macromolecular Substances; D015394:Molecular Structure
D046911:Macromolecular Substances