Ivet Bahar, Ph.D. (PI of CDAR, and Core B Leader)
Distinguished Professor and John K. Vries Chair
Department of Computational & Systems Biology
School of Medicine, University of Pittsburgh



IndiraIndira Shrivastava, PhD
Dept. of Computational & Systems Biology, Pitt.
Research: Combining multi-scale computational models and Druggability Simulations to understand and associate protein dynamics to protein function, with focus on membrane proteins and ion channels.Mary



ChengHongying Cheng, PhD
Dept. of Computational & Systems Biology, Pitt.
Mary’s research interest and expertise lie in protein modeling and medicinal chemistry, with focus on molecular mechanism of (i) transporter function, (ii) drug modulation (iii) ion transport through membrane protein channels and (iv) protein-lipid and lipid-lipid interactions. Her current research focusses on understanding these aspects on of Neurotransmitter sodium symporter (NSS) family of proteins.


LiuBing Liu, PhD
Dept. of Computational & Systems Biology, Pitt.
Bing Liu’s research area centers on computational systems biology. His work builds mathematical models to describe the dynamics of biological processes. He has developed probabilistic techniques to address stochasticity in biological systems and leveraged machine learning, formal methods, and high-performance computing techniques to enable various analyses of large-scale systems.


LeeJi Young Lee, PhD
Dept. of Computational & Systems Biology, Pitt.
Ji Young is using normal mode analysis and molecular dynamics simulations to provide insights into the activation/inactivation mechanism of target proteins. As one of his studies, he has been studying ionotropic glutamate receptors (iGluRs) which are ion channels mediating excitatory neurotransmission. Using Anisotropic Network Model (ANM) calculations, he has found that two prominent subfamily members of iGluRs, AMPA receptor (AMPAR) and NMDA receptor (NMDAR), share robust movements.


ZhangShe Zang, MS Student
Dept. of Computational & Systems Biology, Pitt.
She is currently working on applying elastic network models to several proteins including NSS family and HIV-RT to determine their principal motions and associate these to their respective biological functions.