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SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling 被引量:2
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作者 Yanyan Li Honghong Zhou +10 位作者 Xiaomin Chen Yu Zheng Quan Kang Di hao Lili Zhang Tingrui Song Huaxia Luo yajing hao Runsheng Chen Peng Zhang Shunmin He 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2021年第4期602-610,共9页
Small proteins specifically refer to proteins consisting of less than 100 amino acids translated from small open reading frames(s ORFs),which were usually missed in previous genome annotation.The significance of small... Small proteins specifically refer to proteins consisting of less than 100 amino acids translated from small open reading frames(s ORFs),which were usually missed in previous genome annotation.The significance of small proteins has been revealed in current years,along with the discovery of their diverse functions.However,systematic annotation of small proteins is still insufficient.Sm Prot was specially developed to provide valuable information on small proteins for scientific community.Here we present the update of Sm Prot,which emphasizes reliability of translated s ORFs,genetic variants in translated s ORFs,disease-specific s ORF translation events or sequences,and remarkably increased data volume.More components such as non-ATG translation initiation,function,and new sources are also included.Sm Prot incorporated638,958 unique small proteins curated from 3,165,229 primary records,which were computationally predicted from 419 ribosome profiling(Ribo-seq)datasets or collected from literature and other sources from 370 cell lines or tissues in 8 species(Homo sapiens,Mus musculus,Rattus norvegicus,Drosophila melanogaster,Danio rerio,Saccharomyces cerevisiae,Caenorhabditis elegans,and Escherichia coli).In addition,small protein families identified from human microbiomes were also collected.All datasets in Sm Prot are free to access,and available for browse,search,and bulk downloads at http://bigdata.ibp.ac.cn/SmProt/. 展开更多
关键词 Ribosome profiling Small open reading frame Upstream open reading frame VARIANTS Disease
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