| Literature DB >> 30921557 |
Laura J Kingsley1, Vincent Brunet2, Gerald Lelais1, Steve McCloskey2, Kelly Milliken1, Edgardo Leija2, Stephen R Fuhs1, Kai Wang2, Edward Zhou2, Glen Spraggon3.
Abstract
In drug discovery, structural knowledge of a target enables structure-based design approaches and thereby reduces the time and labor required to develop a therapy. Whilst molecular graphics frameworks coupled with computational analysis are now ubiquitous tools for the structural and computational biologist, sharing the detailed visualization and derived structural information with non-expert users still presents a challenge. Here we describe an intuitive virtual world for viewing, manipulating, and modifying chemical and macromolecular structures in a fully immersive and collaborative 3D environment. By reducing the barriers to viewing and interacting with structural data, structural analysis can be democratized to a general scientist, which in turn fosters novel collaboration, ideas, and findings in structural biology and structure-based drug discovery.Entities:
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Year: 2019 PMID: 30921557 DOI: 10.1016/j.jmgm.2019.03.010
Source DB: PubMed Journal: J Mol Graph Model ISSN: 1093-3263 Impact factor: 2.518