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Chin-Hsien (Emily) Tai

Portait Photo of Chin-Hsien (Emily) Tai
Laboratory of Molecular Biology
Molecular Modeling and Bioinformatics Section
Staff Scientist
Center for Cancer Research
National Cancer Institute
Bldg. 37, Rm 5120
Bethesda, MD 20892-4262


Emily obtained her MS in Immunology from National Taiwan University and another MS in Computer and Information Science from New Jersey Institute of Technology. Before joining NCI, she worked in Goldman, Sachs & Co. in New York City and Goldman, Sachs International Ltd. in London as Programmer Analyst at Information Technology Division for 3 years.


Our lab focused on developing programs to compare protein structures, to generate more accurate alignments and to parse protein structures into domains in a reliable and rational fashion. We also have interests in studying protein structures with internal symmetry. The long term goal is to discover the sequence-structure relation, the relation between the active sites and the structural types and the evolution of the structure types.

We were assessors in the 6th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP6) for 'Prediction of New Folds' and 'Domain Prediction' categories in 2004. Once again, we were invited to assess 'Template free modeling', 'CASP ROLL', and 'Contact-Assisted modeling' in 2012 CASP10.

Recently, we developed new algorithm for predicting B cell epitope hot spot residues and are also working on evaluating T cell epitope prediction.

This page was last updated on 3/31/2014.