Predicting Toxicity and Degradability of Quadricyclane, Fluorocarbon Ethers and Their Analogs.

Abstract

A number of novel molecular similarity methods have been developed using topos-structural and topochemical parameters which can be computed directly from molecular structure using POLLY. Topological indices (TIs), atom pairs (APs), geometrical parameters, and semiempirical quantum chemical parameters have been used for molecular similarity analysis and development of hierarchical QSAR models. The relative effectiveness of the various similarity techniques in selecting analogs and estimating properties of toxicological importance have been tested on a selected set of properties such as mutagenicity, acute toxicity, lipophilicity (logP, octanol/water), etc. The K nearest neighbor (KNN) method, K=1,2...25, has been used ingenerating probe-induced subsets from different databases. Results show that the KNN method gives the best estimate of properties at K=5-1O for the properties studied.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1997
Accession Number
ADA329766

Entities

People

  • Joseph Schubauer-berigan
  • Keith B. Lodge
  • Subhash C. Basak

Organizations

  • University of Minnesota Duluth

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Alkanes
  • Alkenes
  • Chemical Synthesis
  • Chemistry
  • Organic Chemistry
  • Three Dimensional

Fields of Study

  • Chemistry

Readers

  • Molecular and Cellular Biochemistry
  • Quantum Chemistry
  • Regression Analysis.

Technology Areas

  • Quantum Computing