Computational approaches streamlining drug discovery
University of Southern California · Convergent Science (United States)
Abstract
Computer-aided drug discovery has been around for decades, although the past few years have seen a tectonic shift towards embracing computational technologies in both academia and pharma. This shift is largely defined by the flood of data on ligand properties and binding to therapeutic targets and their 3D structures, abundant computing capacities and the advent of on-demand virtual libraries of drug-like small molecules in their billions. Taking full advantage of these resources requires fast computational methods for effective ligand screening. This includes structure-based virtual screening of gigascale chemical spaces, further facilitated by fast iterative screening approaches. Highly synergistic are…
Citation impact
- FWCI
- 212.67
- Percentile
- 100%
- References
- 159
Authors
2Topics & keywords
- Drug discovery
- Virtual screening
- Computer science
- Data science
- Process (computing)
- SAFER
- Identification (biology)
- Computational biology