Structural and Chemical Biology
@ Vanderbilt University
Research Targets

Research in our laboratory seeks to fuse computational and experimental efforts to investigate proteins, the fundamental molecules of biology, and their interactions with small molecule substrates, therapeutics, or probes. We develop computational methods with three major ambitions in mind: 1) to enable protein structure elucidation of membrane proteins the primary target of most therapeutics and large macromolecular complexes such as viruses; 2) design proteins with novel structure and/or function to explore novel approaches to protein therapeutics and deepen our understanding of protein folding pathways, and 3) understand the relation between chemical structure and biological activity quantitatively in order to design more efficient and more specific drugs. Crucial for our success is the experimental validation of our computational approaches which we pursue in our laboratory or in collaboration with other scientists.

Current research applications focus on new approaches to a) drug and probe development for neurodegenerative disorders and diseases including Schizophrenia, Alzheimer's, and Parkinson’s, b) understanding the structural determinants of antidepressant binding to neurotransmitter transporters, c) cardiac arrhythmia as caused by the complex interplay of potassium channel regulation and drug interactions, d) multidrug resistance in cancer and bacterial cells related to multidrug transporter proteins, and e) structural basis of viral infections and antibody activity.








Protein Structure Prediction
Small Molecule - NMR Chemical Shift Prediction from Three-Dimensional Structure
Design of Small Molecule - Protein interfaces






Fitting molecules in low resolution electron density maps
Development of energy-/scoring-functions determining native-like modeled protein structures
High resolution contact prediction






TIM Barrel Design
Computational Design of Novel Protein Therapeutics
Structural Characterization of HoxA11






Cryo-EM guided de novo Protein Fold Elucidation
Novel Schizophrenia Therapeutics by Virtual High-Throughput Screening
BCL Align






De novo High-Resolution Protein Structure Elucidation from sparse EPR Data
Computational Modeling of Serotonin Transporter
BCL::Jufo9D: Secondary Structure Prediction and Trans-membrane Span Prediction






Small Molecule Docking and Design
PharmMap
Machine Learning
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