Pharmacophore-based virtual screening.
By Hongmao Sun. 2008
209 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Theory and Mathematics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Vijay S. Pande
- Santiago Garcia-Vallvé
- Adrià Cereto-Massagué
- Miquel Mulero
- Gerard Pujadas
- Cristina Valls
- Xiu Li
- Xiaoqian Lin
In Computational Theory and Mathematics
- Vijay S. Pande
- Steven M. Kearnes
- Patrick F. Riley
- Santiago Garcia-Vallvé
- Adrià Cereto-Massagué
- Miquel Mulero
- Kevin McCloskey
- Gerard Pujadas
In Molecular Biology
- Patrick F. Riley
- Santiago Garcia-Vallvé
- Adrià Cereto-Massagué
- Miquel Mulero
- Kevin McCloskey
- Vijay S. Pande
- Gerard Pujadas
- Cristina Valls
Citations in the corpus
- Molecular graph convolutions: moving beyond fingerprints (2016, background): “Pharmacophore models attempt to identify particular interactions relative to a common alignment that are critical for activity (Horvath, 2011).”
- Molecular fingerprint similarity search in virtual screening. (2015, methodology): “The main ligand-based approaches involve the use of pharmacophores (abstractions of the features needed for the molecule to be active) [2], shapebased similarity [3], fingerprint similarity, and also machine learning using molecular properties and data from any of the former approaches [4].”
- Pharmacophore modeling and applications in drug discovery: challenges and recent advances. (2010, unknown): “44 Sun, H. (2008) Pharmacophore-based virtual screening.”
- A Review on Applications of Computational Methods in Drug Screening and Design (2020, methodology): “Then, conformation analysis is used to find the binding conformation of molecule, and to determine the pharmacophore [59].”