期刊
RNA
卷 18, 期 4, 页码 610-625出版社
COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1261/rna.031054.111
关键词
3D prediction; bioinformatics; force fields; structure
资金
- Fundacao Calouste Gulbenkian, Siemens SA
- Fundacao para a Ciencia e Tecnologia [SFRH/BD/33528/2008]
- National Institutes of Health [AI72012, CA132753]
- Polish Ministry of Science [HISZPANIA/152/2006, PBZ/MNiSW/07/2006]
- EU [LSHG-CT-2005-518238, POIG.02.03.00-00-003/09]
- Faculty of Biology, Adam Mickiewicz University [PBWB-03/2009]
- German Academic Exchange Service [D/09/42768]
- NIH [GM063732, R01-GM073179, U01-AI061192, R44 GM85889, R44 GM095251]
- NSF [MCB0920067, MCB0920411]
- U.S. National Institutes of Health [GM064803, GM088813]
- Fonds Quebecois de Recherche: Nature et Technologies
- Canadian Institutes of Health Research (CIHR) [MOP93679]
- Natural Sciences and Engineering Research Council of Canada
- Austrian Science Fund (FWF) [P 23497] Funding Source: researchfish
- Fundação para a Ciência e a Tecnologia [SFRH/BD/33528/2008] Funding Source: FCT
We report the results of a first, collective, blind experiment in RNA three-dimensional (3D) structure prediction, encompassing three prediction puzzles. The goals are to assess the leading edge of RNA structure prediction techniques; compare existing methods and tools; and evaluate their relative strengths, weaknesses, and limitations in terms of sequence length and structural complexity. The results should give potential users insight into the suitability of available methods for different applications and facilitate efforts in the RNA structure prediction community in ongoing efforts to improve prediction tools. We also report the creation of an automated evaluation pipeline to facilitate the analysis of future RNA structure prediction exercises.
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