A fast new approach to pharmacophore mapping and its application to dopaminergic and benzodiazepine agonists

By Y. Martin, M. Bures, E. Danaher, J. DeLazzer, I. Lico, P. A. Pavlik. 1993

Subfields: 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 Chemistry & Drug Discovery

1. Dina Schneidman-Duhovny
2. Glaucius Oliva
3. Sandeepkumar Kothiwale
4. Jens Meiler
5. Haim J. Wolfson
6. E. W. Lowe
7. Ruth Nussinov
8. Laura M. Geffert

Citations in the corpus

• Molecular Docking and Structure-Based Drug Design Strategies (2015, background): “Academic Hiphop [141] PharmaGist [154,155] HypoGen [141] ALADDIN [156] HypoRefine [141] RAPID [157] GASP [142,143] DANTE [158] DiscoTech [143,144] APOLLO [159] GALAHAD [143,145] CLEW [160] LigandScout [146,147] MPHIL [161] MOE [148,149] GAMMA [162] PHASE [150,151] SCAMPI [163] XED [152,153] Apex-3D…”
• New design strategies for antidepressant drugs (2013, background): “A pharmacophore is the spatial orientation of ligand features necessary for its biological activity [82,83].”
• Computational Methods in Drug Discovery (2014, methodology): “DISCO regards compounds as sets of interpoint distances between heavy atoms containing features of interest.”
• PharmaGist: a webserver for ligand-based pharmacophore detection (2008, methodology): “Examples for such methods include RAPID (8), MPHIL (9) and the commercial programs DISCO (10), Phase (11) of Schrodinger and HipHop and HypoGen, which are part of the Catalyst software package of Accelrys (12–16).”