ROCS-derived features for virtual screening.

Journal: Journal of computer-aided molecular design
Published Date:

Abstract

Rapid overlay of chemical structures (ROCS) is a standard tool for the calculation of 3D shape and chemical ("color") similarity. ROCS uses unweighted sums to combine many aspects of similarity, yielding parameter-free models for virtual screening. In this report, we decompose the ROCS color force field into color components and color atom overlaps, novel color similarity features that can be weighted in a system-specific manner by machine learning algorithms. In cross-validation experiments, these additional features significantly improve virtual screening performance relative to standard ROCS.

Authors

  • Steven Kearnes
    Stanford University, 318 Campus Dr. S296, Stanford, CA, 94305, USA. kearnes@stanford.edu.
  • Vijay Pande
    Department of Chemistry , Stanford University , Stanford , CA 94305 , USA . Email: pande@stanford.edu.