Denise Mills

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Denise Mills

Denise Mills, Research Coordinator

Position and Focus

Denise is a Research Coordinator for the Computational Chemistry program at NRRI. Her research interests include computational toxicology and molecular modeling.


Background

B.S. Chemistry and Biology, cum laude, University of Minnesota, Duluth, 1992


Current Publications

  • Restrepo G, Basak SC, Mills D. 2011. Comparison of QSARs and Characterization of Structural Basis of Bioactivity Using Partial Order Theory and Formal Concept Analysis: A Case Study with Mutagenicity. Current Computer-Aided Drug Design 7(4):109-121.
  • Basak SC, Mills D. 2011. Quantitative structure-activity relationship studies of boron-containing dipeptide proteasome inhibitorsusing calculated mathematical descriptors. Journal of Mathematical Chemistry 49:185-200.
  • Basak SC, Zhu Q, Mills D. 2011. Quantitative structure-activity relationships for anticancer activity of 2-phenylindoles using mathematical molecular descriptors. Current Computer-Aided Drug Design 4(2):98-108.
  • Basak SC, Mills D, Hawkins DM. 2011. Characterization of dihydrofolate reductases from multiple strains of plasmodium falciparum using mathematical descriptors of their inhibitors. Chemistry & Biodiversity
  • Basak SC, Mills D, Gute B, Balaban AT, Basak K, Grunwald GD. 2010. Use of mathematical structural invariants in analyzing combinatorial libraries: a case study with psoralen derivatives. Journal of Computer Aided Drug Design 6:240-251.
  • Basak SC, Mills D, Hawkins DM, Bhattacharjee AK. 2010. Quantitative structure-activity relationship studies of antimalarial compounds from their calculated mathematical descriptors. SAR and QSAR in Environmental Research 21(1):103-125.
  • Basak SC, Mills D, Garg R, Bhhatarai B. 2010. A QSAR study of HIV protease inhibitors using theoretical descriptors. Journal of Computer Aided Drug Design 6:269-282.
  • Basak SC, Zhu Q, Mills D. 2010. Prediction of anticancer activity of 2-phenylindoles: comparative molecular field analysis versus ridge regression using mathematical molecular descriptors. Acta Chimica Slovenica 57:541-550.

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