Maria Kurnikova
Group Information - Members
Written by Nikolay Simakov   
Thursday, 20 May 2004


Maria G. Kurnikova

Associate Professor of Chemistry,
Mellon University



  • Education:

M.Sc. in Applied Physics and Mathematics (1990)
Department of Physical and Chemical Biology
Moscow Physical and Technical Institute (MPTI),  Russia.

Ph.D. in Physical Chemistry (1998)
Chemistry Department
University of Pittsburgh, USA

  • Other Affiliations (current):

Affiliated Faculty Member
Lane Center for Computational Biology
Carnegie Mellon University

Adjunct Assistant Professor
Computational Biology Department
University of Pittsburgh School of Medicine

Adjunct Associate Professor
Department of Pharmacology & Chemical Biology
University of Pittsburgh

Training Faculty
Joint CMU-Pitt Ph.D. Program
in Computational Biology

Training Faculty
Joint CMU-Pitt Ph.D. Program
in Molecular Biophysics and Structural Biology

  •  Awards:

1996-1998 Andrew Mellon Predoctoral Fellowship,
University of Pittsburgh

2002-2007 Research Innovation Award,
Research Corporation


Last Updated ( Wednesday, 28 September 2016 )
Theoretical/computational chemistry and biophysics
Group Information - First Page Section
Written by Serzhan Sakipov   
Wednesday, 28 September 2016

Functioning of membrane proteins is vital to human health. Malfuncion of ion channels, for example, results in such disparate deseases as cystic fibrosis, influenza, migraines and epilepsy. In brain and heart ion channels orchestrate all electrical signals, which are essencial for learning, memory, perseption and muscle control. In kidney, regulatory proteins are responsible for water balance and bone restoration. Almost 30% of modern drugs target membrane proteins. However, progress in target-specific drug-development for membrane proteins has been hindered by their relatively poorly understood mechanisms and structure.


Theoretical modeling is one crucially important component for understanding structure-function relationships in proteins. We are developing hierarchical models of protein that can span multiple time and length-scales needed to predict experimentally measurable properties, yet use fundamental laws of nature at the atomistic resolution.  We use methods of computational chemistry: quantum mechanics, molecular dynamics and continuum electrostatics, as well as docking algorithms, drift-diffusion equations and homology modeling.



Some of the projects we are working on are described in Research   


Last Updated ( Wednesday, 28 September 2016 )
Maria Kurnikova Group
Group Information - First Page Section
Written by Serzhan Sakipov   
Tuesday, 13 May 2014

Maria Kurnikova Group

  Our group is very diverse!


 Group members (from left to right): Lea Veras, Samaneh Mesbahi, Serzhan Sakipov, Maria Kurnikova, Jose Flores-Canales



Last Updated ( Thursday, 08 October 2015 )
© 2016 Maria Kurnikova's Research Group
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