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A Novel Approach for the Virtual Screening and Rational Design of Anticancer Compounds
- Source :
- Journal of Medicinal Chemistry. 43:1975-1985
- Publication Year :
- 2000
- Publisher :
- American Chemical Society (ACS), 2000.
-
Abstract
- A topological substructural approach to molecular design (TOSS-MODE) has been introduced for the selection and design of anticancer compounds. A quantitative model that discriminates anticancer compounds from the inactive ones in a training series was obtained. This model permits the correct classification of 91.43% of compounds in an external prediction set with only 1.43% of false actives and 7. 14% of false inactives. The model developed is then used in a simulation of a virtual search for Ras FTase inhibitors; 87% of the Ras FTase inhibitors used in this simulated search were correctly classified, thus indicating the ability of the TOSS-MODE model of finding lead compounds with novel structures and mechanism of action. Finally, a series of carbonucleosides was designed, and the compounds were classified as active/inactive anticancer compounds by using the model developed here. From the compounds so-designed, 20 were synthesized and evaluated experimentally for their antitumor effects on the proliferation of murine leukemia cells (L1210/0) and human T-lymphocyte cells (Molt4/C8 and CEM/0); 80% of these compounds were well-classified, as active or inactive, and only two pairs of isomeric compounds were false actives. The chloropurine derivatives were the most active compounds, especially compounds 6c, d.
- Subjects :
- Databases, Factual
Molecular model
Cell Survival
Stereochemistry
T-Lymphocytes
Antineoplastic Agents
Mice
Drug Discovery
Tumor Cells, Cultured
medicine
Animals
Humans
Enzyme Inhibitors
Leukemia L1210
Virtual screening
Farnesyl-diphosphate farnesyltransferase
Alkyl and Aryl Transferases
Molecular Structure
Chemistry
Rational design
Quantitative model
Models, Chemical
Mechanism of action
Purines
Drug Design
Molecular Medicine
Purine derivative
Drug Screening Assays, Antitumor
medicine.symptom
Cell Division
Software
Subjects
Details
- ISSN :
- 15204804 and 00222623
- Volume :
- 43
- Database :
- OpenAIRE
- Journal :
- Journal of Medicinal Chemistry
- Accession number :
- edsair.doi.dedup.....73e54b67ef2f5345e691a9f63c815b73
- Full Text :
- https://doi.org/10.1021/jm991172d