Computational Modeling of Protein-RNA Interactions
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Abstract
Protein-RNA interactions, mediated through both RNA sequence and structure, play vital role in all cellular processes. In recent years, technologies have been developed to measure these interactions in high-throughput manner. Researchers would like to infer accurate models from the experimental data in order to predict new interactions and better understand the underlying binding mechanism. In this tutorial, I will present the main computational challenges in incorporating RNA structure information into computational algorithms and models. I will describe in detail two state-of-the-art methods to infer structure-based models from experimental data and discuss their strengths and weakness. I will conclude with open problems in the field.
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Published In
August 2017
800 pages
ISBN:9781450347228
DOI:10.1145/3107411
- General Chairs:
- Nurit Haspel,
- Lenore J. Cowen,
- Program Chairs:
- Amarda Shehu,
- Tamer Kahveci,
- Giuseppe Pozzi
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 August 2017
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BCB '17
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BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
August 20 - 23, 2017
Massachusetts, Boston, USA
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ACM-BCB '17 Paper Acceptance Rate 42 of 132 submissions, 32%;
Overall Acceptance Rate 254 of 885 submissions, 29%
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