In silico three dimensional pharmacophore models to aid the discovery and design of new antimalarial agents
- Apurba K. Bhattacharjee(corresponding author),
- Mark G. Kartell,
- Daniel A. Nichols,
- Rickey P. Hicks,
- John E. Van Hamont,
- Wilbur K. Milhous
- Walter Reed Army Institute of Research
Open access
Sustainable Development Goals
- SDG 3 Good Health and Well
Related Event
Title
Event type
OtherDate
05/28/2006 - 05/31/2006Location
Abstract
Malaria is one of the most dangerous diseases affecting primarily poor people of tropical and subtropical regions. The search for novel drugs against specific parasites is an important goal for antimalarial drug discovery. This study describes how 3D pharmacophores for antimalarial activity could be developed from known antimalarials and be used as screening tools for virtual compound libraries to identify new antimalarial candidates with examples of indolo[2,1-b]quinazoline-6,12-diones (tryptanthrins) that exhibited in vitro activity below 100 ng/mL. These models mapped on the potent analogues and also onto other well-known antimalarial drugs of different chemical classes including quinolines, chalcones, rhodamine dyes, Pfmrk CDK inhibitors, malarial KASIII inhibitors, and plasmepsin inhibitors. The pharmacophores allowed search and identification of new antimalarials from in-house multi-conformer 3D CIS database and enabled custom designed synthesis of new potent analogues that are found to be potent against in vitro W2, D6, and TM91C235 strains of P. falciparum.
Publication Information
Output type
Host publication Subtitle
6th International Conference, ProceedingsOriginal language
English (US)Pages from-to (Number of pages)
Pages 387-394 (8 pages)Publication milestones
- Published - 2006
Publication status
Publisher
Springer VerlagPublication series
- Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print): 0302-9743
ISSN (Electronic): 1611-3349
Volume: 3991 LNCS - I
ISBN (Print)
3540343792, 9783540343790Publication IDs
- Scopus: 33746584323
