دورية أكاديمية

Advances in RNA 3D Structure Modeling Using Experimental Data.

التفاصيل البيبلوغرافية
العنوان: Advances in RNA 3D Structure Modeling Using Experimental Data.
المؤلفون: Li, Bing, Cao, Yang, Westhof, Eric, Miao, Zhichao
المصدر: Frontiers in Genetics; 10/26/2020, Vol. 11, pN.PAG-N.PAG, 19p
مصطلحات موضوعية: RNA, X-ray crystallography
مستخلص: RNA is a unique bio-macromolecule that can both record genetic information and perform biological functions in a variety of molecular processes, including transcription, splicing, translation, and even regulating protein function. RNAs adopt specific three-dimensional conformations to enable their functions. Experimental determination of high-resolution RNA structures using x-ray crystallography is both laborious and demands expertise, thus, hindering our comprehension of RNA structural biology. The computational modeling of RNA structure was a milestone in the birth of bioinformatics. Although computational modeling has been greatly improved over the last decade showing many successful cases, the accuracy of such computational modeling is not only length-dependent but also varies according to the complexity of the structure. To increase credibility, various experimental data were integrated into computational modeling. In this review, we summarize the experiments that can be integrated into RNA structure modeling as well as the computational methods based on these experimental data. We also demonstrate how computational modeling can help the experimental determination of RNA structure. We highlight the recent advances in computational modeling which can offer reliable structure models using high-throughput experimental data. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:16648021
DOI:10.3389/fgene.2020.574485