Chapman
University
Chapman University
Chapman University Digital Commons
Chapman University Digital Commons
Computational and Data Sciences (MS)
Theses
Dissertations and Theses
Spring 5-2020
Computational Molecular Docking Models and Design of
Computational Molecular Docking Models and Design of
Diarylpentanoids for
the Androgen Receptor
Diarylpentanoids for the Androgen Receptor
Jarett Guillow
Chapman University, guill117@mail.chapman.edu
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https://digitalcommons.chapman.edu/cads_theses
Part of the
Biochemistry
Commons
,
Bioinformatics Commons
, and the
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Recommended
Citation
Recommended Citation
J. Guillow, "Computational molecular docking models and design of diarylpentanoids for the androgen
receptor," M. S. thesis, Chapman University, Orange, CA, 2020.
https://doi.org/10.36837/chapman.000152
This Thesis is brought to you for free and open access by the Dissertations and Theses at Chapman University
Digital Commons. It has been accepted for inclusion in Computational and Data Sciences (MS) Theses by an
authorized administrator of Chapman University Digital Commons. For more information, please contact
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Computational Molecular Docking Models and Design of
Diarylpentanoids for the Androgen Receptor
A Thesis by
Jarett A. Guillow
Chapman University
Orange, CA
Schmid College of
Science and Technology
Submitted in partial fulfillment of the requirements for the degree of
Master of Science in Computational and Data Sciences
May 2020
Committee in charge:
Marco Bisoffi, Ph.D.,
Chair
Gennady Verkhivker, Ph.D.
Cedric Owens, Ph.D.
Andrew Orry, Ph.D.
