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Research Mentors
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Institution and Department
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Research Focus
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Ivet Bahar
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Pitt – Computational Biology
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Analytical models and computational methods for predicting the dynamics of large biomolecular systems and networks of proteins.
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Carlos Camacho
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Pitt – Computational Biology
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Modeling of physical interactions responsible for molecular recognition; Developing new techniques for predicting protein complex strucures.
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Chakra Chennubhotla
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Pitt – Computational Biology
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Develop new image analysis methods for (i) Extracting spatio-temporal correlation hierarchy from neuronal activation profiles, (ii) Reconstructing neuronal struture from histological data, and (iii) Building automated segmentation algorithms for sub-cellular structures from microscopy data.
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Lillian Chong
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Pitt – Chemistry
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Protein structure and function, natively unfolded proteins, molecular sensors, MD simulations, distributed computing.
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Rob Coalson
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Pitt – Chemistry, Physics, and the Center for Molecular and Materials Simulations
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Models kinetics and struture.function relations in biological ion channels.
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Billy Day
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Pitt – Pharmaceutical Sciences and Chemistry
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Chemical and molecular mechanisms of antitumor agents.
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Michael Grabe
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Pitt – Biological Sciences
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Computational modeling of molecular and cellular systems: Potassium channel gating and ion selection.
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Chris Langmead
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CMU - Computer Science
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Developing physics-based algorithms for modeling, analyzing, and simulating proteins and nucleic acids.
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Sanford Leuba
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Pitt – Cell Biology and Physiology
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Single molecule approaches to protein-DNA interactions.
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Timothy Lezon
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Pitt – Cell Biology and Physiology
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Developing coarse-grained models for studying large-scale protein dynamics.
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Jeffry Madura
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Duquesne - Chemistry & Biochemistry and the Center for Computational Sciences
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Development and application of methods to study the structure, function, and dynamics of proteins and enzymes in solution and at interfaces.
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Pei Tang
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Pitt – Structural Biology
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Action of low-affinity drugs (general anesthetics and alcohols) on neurotransmitter-gated receptor channels.
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Michael Widom
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CMU - Physics
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Professor Widom's research focuses on theoretical modeling of novel materials in condensed matter and biological physics settings. Methods of statistical mechanics, quantum mechanics and computer simulation are used to investigate structure, stability and properties of these materials.
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Sean Xie
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Pitt – Pharmaceutical Sciences/Drug Discovery Institute
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His research interests are: 1) GPCR CB2 membrane protein structure/function studies. 2) Methods and algorithms development for knowledgebase-target identifications and structure-based drug design for multiple myeloma, osteoporosis and hematopoietic stem cell expansion by using the integrated computational chemical genomics virtual screening, bioassay validation and medicinal chemistry synthesis approaches. (www.CBligand.org/xielab and www.CBLigand.org/CCGS)
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Dan Zuckerman
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Pitt – Computational Biology
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Developing statistical-mechanics-based methods to study protein fluctuations and binding.
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