Journal
CURRENT OPINION IN STRUCTURAL BIOLOGY
Volume 28, Issue -, Pages 96-104Publisher
CURRENT BIOLOGY LTD
DOI: 10.1016/j.sbi.2014.08.001
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Funding
- NIH [R01 GM083960, U54 GM103511]
- Swiss National Science Foundation (SNSF) [PA00P3_139727, PBZHP3-133388]
- Swiss National Science Foundation (SNF) [PA00P3_139727, PBZHP3-133388] Funding Source: Swiss National Science Foundation (SNF)
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Integrative structural modeling uses multiple types of input information and proceeds in four stages: (i) gathering information, (ii) designing model representation and converting information into a scoring function, (iii) sampling good-scoring models, and (iv) analyzing models and information. In the first stage, uncertainty originates from data that are sparse, noisy, ambiguous, or derived from heterogeneous samples. In the second stage, uncertainty can originate from a representation that is too coarse for the available information or a scoring function that does not accurately capture the information. In the third stage, the major source of uncertainty is insufficient sampling. In the fourth stage, clustering, cross-validation, and other methods are used to estimate the precision and accuracy of the models and information.
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