典型文献
RNAGCN:RNA tertiary structure assessment with a graph convolutional network
文献摘要：
RNAs play crucial and versatile roles in cellular biochemical reactions.Since experimental approaches of determining their three-dimensional(3D)structures are costly and less efficient,it is greatly advantageous to develop computational methods to predict RNA 3D structures.For these methods,designing a model or scoring function for structure quality assessment is an essential step but this step poses challenges.In this study,we designed and trained a deep learning model to tackle this problem.The model was based on a graph convolutional network(GCN)and named RNAGCN.The model provided a natural way of representing RNA structures,avoided complex algorithms to preserve atomic rotational equivalence,and was capable of extracting features automatically out of structural patterns.Testing results on two datasets convincingly demonstrated that RNAGCN performs similarly to or better than four leading scoring functions.Our approach provides an alternative way of RNA tertiary structure assessment and may facilitate RNA structure predictions.RNAGCN can be downloaded from .
文献关键词：
中图分类号：
作者姓名：
Chengwei Deng;Yunxin Tang;Jian Zhang;Wenfei Li;Jun Wang;Wei Wang
作者机构：
Collaborative Innovation Center of Advanced Microstructures,School of Physics,Nanjing University,Nanjing 210008,China;Institute for Brain Sciences,Nanjing University,Nanjing 210008,China
文献出处：
引用格式：
[1]Chengwei Deng;Yunxin Tang;Jian Zhang;Wenfei Li;Jun Wang;Wei Wang-.RNAGCN:RNA tertiary structure assessment with a graph convolutional network)[J].中国物理B（英文版）,2022(11):173-181
A类：
RNAGCN
B类：
tertiary,assessment,graph,convolutional,network,RNAs,play,crucial,versatile,roles,cellular,biochemical,reactions,Since,experimental,approaches,determining,their,three,dimensional,structures,are,costly,less,efficient,greatly,advantageous,develop,computational,methods,For,these,designing,model,scoring,quality,essential,step,but,this,poses,challenges,In,study,we,designed,trained,deep,learning,tackle,problem,was,named,provided,natural,way,representing,avoided,complex,algorithms,preserve,atomic,rotational,equivalence,capable,extracting,features,automatically,out,structural,patterns,Testing,results,datasets,convincingly,demonstrated,that,performs,similarly,better,than,four,leading,functions,Our,provides,alternative,may,facilitate,predictions,can,downloaded,from
AB值：
0.638468
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