Virtual screening in drug discovery -- a computational perspective.
By A. Reddy, S. Pati, P. P. Kumar, H. Pradeep, G. Narahari Sastry. Current protein and peptide science, 2007
345 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Organic Chemistry, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/45d1bea020037be442a935dc70f389c0a504e21d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Stefano Forli
- David S. Goodsell
- Michel F. Sanner
- Arthur J. Olson
- Zoe Cournia
- C. D. Giovanni
- Antonio Lavecchia
- George M. Spyrou
In Organic Chemistry
- Zoe Cournia
- Arthur J. Olson
- C. D. Giovanni
- Antonio Lavecchia
- George M. Spyrou
- D. Vassilatis
- Evanthia Lionta
In Spectroscopy
- Stefano Forli
- Michel F. Sanner
- David S. Goodsell
- Arthur J. Olson
- C. D. Giovanni
- Antonio Lavecchia
- Pradeep Anand Ravindranath
Citations in the corpus
- Virtual screening strategies in drug discovery: a critical review. (2013, methodology): “Both methods have been successfully applied in the drug discovery context [137, 138] with the aim of guiding the development of a compound with the desired bioactivity profile [139-142].”
- Structure-Based Virtual Screening for Drug Discovery: Principles, Applications and Recent Advances (2014, background): “In virtual screening, large libraries of drug-like compounds that are commercially available are computationally screened against targets of known structure, and those that are predicted to bind well are experimentally tested [1, 2].”
- AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility (2015, methodology): “Docking is used for optimizing known drugs and for identifying novel binders by predicting their binding mode and affinity [4, 5].”