Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10594138 | Bioorganic & Medicinal Chemistry Letters | 2012 | 4 Pages |
Abstract
A series of eribulin analogues was evolved in silico through iterative atom-based enumeration employing a genetic algorithm-derived survival function to minimize predicted PgP-mediated drug efflux. Representatives of the virtual series were subsequently synthesized in the laboratory and tested in vitro for PgP-susceptibility. These new computer-inspired derivatives were found to exhibit high cell growth inhibitory activity and to be among the least sensitive to P-glycoprotein-mediated drug efflux in the eribulin series, thereby validating this approach to in silico molecular design.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Organic Chemistry
Authors
Melvin J. Yu, Wanjun Zheng, Karen Tendyke,