Molecule-pharmacophore superpositioning and pattern matching in computational drug design.
By Gerhard Wolber, T. Seidel, Fabian Bendix, T. Langer. 2008
293 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Computational Chemistry & Drug Discovery
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
- Jens Meiler
- David Ryan Koes
- Sandeepkumar Kothiwale
- E. W. Lowe
- Gregory Sliwoski
- Glaucius Oliva
- L. Ferreira
- Ricardo N Dos Santos
In Molecular Biology
- Glaucius Oliva
- L. Ferreira
- Ricardo N Dos Santos
- Adriano Defini Andricopulo
- Jens Meiler
- Sandeepkumar Kothiwale
- E. W. Lowe
- Gregory Sliwoski
In Spectroscopy
- Carlos J. Camacho
- Glaucius Oliva
- Sandeepkumar Kothiwale
- David Ryan Koes
- Jens Meiler
- E. W. Lowe
- Adriano Defini Andricopulo
- L. Ferreira
In Computational Chemistry & Drug Discovery
- L. Ferreira
- Glaucius Oliva
- Ricardo N Dos Santos
- Adriano Defini Andricopulo
- Sheng-yong Yang
- Carlos J. Camacho
- Sandeepkumar Kothiwale
- David Ryan Koes
Citations in the corpus
- Molecular Docking and Structure-Based Drug Design Strategies (2015, background): “A critical issue that needs to be addressed by current pharmacophore construction algorithms is the development of an effective molecular alignment tool [140].”
- Rethinking drug design in the artificial intelligence era (2019, unknown): “Chemical design can be considered pattern matching 69–71 and, indeed, computer-based de novo design methods have been explored as idea generators to support drug design since the 1990s 72,73 .”
- Pharmacophore modeling and applications in drug discovery: challenges and recent advances. (2010, background): “437–460, Marcel Dekker 15 Wolber, G. et al. (2008) Molecule-pharmacophore superpositioning and pattern”
- Computational Methods in Drug Discovery (2014, methodology): “However, this requires additional levels of expertise to program (Wolber et al., 2008).”
- ZINCPharmer: pharmacophore search of the ZINC database (2012, methodology): “An interaction pharmacophore may be elucidated from a set of known active ligands by identifying a consensus pharmacophore that is conformationally accessible to all these ligands (1,4).”
- iGEMDOCK: a graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening analysis (2011, background): “Recently, some approaches have been proposed to derive pharmacological interactions from known compounds [8-10].”