Bioinformatics for immunotherapy

T-cell-based immunotherapy is one of the most promising new directions for cancer research. This kind of immunotherapy is time-consuming and expensive to conduct in a traditional wet lab, and so computational models have become invaluable in helping researchers to direct their investigation. In today's podcast, we will learn about a molecular docking tool developed at Rice which is tremendously effective for this difficult problem. Host : Cannon Lewis , a Ph.D. student in the Computer Science Department at Rice University. Guest : Dr. Dinler Antunes , a Rice University postdoctoral research associate who works in the Laboratory of Professor Lydia Kavraki , the Noah Harding Professor of Computer Science and of Bioengineering at Rice University. Unconventional Computing is supported and produced by Rice University's Computer Science Department. Rice performs world-class research in the areas of Algorithms, Artificial Intelligence, Computer Engineering, Systems, Programming Languages, Software Engineering and Data Science. For more information on our department, check us out online at cs.rice.edu .

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Bioinformatics for immunotherapy is an episode from Unconventional Computing by Rice University Computer Science.

This episode is 51:29 long.

This episode was published on Nov 9, 2018.

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