Abstract

A molecular descriptor based upon a count statistic of the topological distance matrix is described and evaluated for use in QSAR studies. Encoding a molecule is done by computing many selective count statistics (histograms) reflecting the distribution of different atom types and bond types in the molecule. The descriptor was also extended to incorporate geometric features of molecules by weighting the topological distance counts with the geometric distance. It is invariant to both translation and rotation. As a result, it does not require the alignment of the structures under study. The method was applied to several QSAR data sets and performed equally well or better than CoMFA and the EVA descriptor. Compared to the latter two methods, it is computationally easier.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.