Unknown

Dataset Information

Docking to multiple pockets or ligand fields for screening, activity prediction and scaffold hopping.


ABSTRACT:

Background

Two recent technological advances dramatically reducing the rate of false-negatives in activity prediction by docking flexible 3D models of compounds include multi-conformational docking (mPockDock) and the docking of candidates to atomic property fields derived by co-crystallized ligands (mApfDock).

Results

The mApfDock and mPockDock provide the AUC of 90.4 and 83.8%, respectively. The mApfDock gave better performance when compounds required large induced-fit pocket changes unseen in crystallography, whereas the mPockDock is superior when the co-crystallized ligands do not represent sufficient chemical and binding location diversity.

Conclusion

Both approaches proved to be efficient for scaffold hopping; they are complementary when the coverage of the co-c

SUBMITTER: Chen YC 

PROVIDER: S-EPMC4285145 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature