http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 주제어 : protein evidence (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Paik, Young-Ki,Lane, Lydie,Kawamura, Takeshi,Chen, Yu-Ju,Cho, Je-Yoel,LaBaer, Joshua,Yoo, Jong Shin,Domont, Gilberto,Corrales, Fernando,Omenn, Gilbert S.,Archakov, Alexander,Encarnació,n-Guevara American Chemical Society 2018 JOURNAL OF PROTEOME RESEARCH Vol.17 No.12
<P>An important goal of the Human Proteome Organization (HUPO) Chromosome-centric Human Proteome Project (C-HPP) is to correctly define the number of canonical proteins encoded by their cognate open reading frames on each chromosome in the human genome. When identified with high confidence of protein evidence (PE), such proteins are termed PE1 proteins in the online database resource, neXtProt. However, proteins that have not been identified unequivocally at the protein level but that have other evidence suggestive of their existence (PE2-4) are termed missing proteins (MPs). The number of MPs has been reduced from 5511 in 2012 to 2186 in 2018 (neXtProt 2018-01-17 release). Although the annotation of the human proteome has made significant progress, the “parts list” alone does not inform function. Indeed, 1937 proteins representing ∼10% of the human proteome have no function either annotated from experimental characterization or predicted by homology to other proteins. Specifically, these 1937 “dark proteins” of the so-called dark proteome are composed of 1260 functionally uncharacterized but identified PE1 proteins, designated as uPE1, plus 677 MPs from categories PE2-PE4, which also have no known or predicted function and are termed uMPs. At the HUPO-2017 Annual Meeting, the C-HPP officially adopted the uPE1 pilot initiative, with 14 participating international teams later committing to demonstrate the feasibility of the functional <U>c</U>haracterization of large numbers of dark <U>p</U>roteins (CP), starting first with 50 uPE1 proteins, in a stepwise chromosome-centric organizational manner. The second aim of the feasibility phase to <U>c</U>haracterize protein (CP) functions of 50 uPE1 proteins, termed the neXt-CP50 initiative, is to utilize a variety of approaches and workflows according to individual team expertise, interest, and resources so as to enable the C-HPP to recommend experimentally proven workflows to the proteome community within 3 years. The results from this pilot will not only be the cornerstone of a larger characterization initiative but also enhance understanding of the human proteome and integrated cellular networks for the discovery of new mechanisms of pathology, mechanistically informative biomarkers, and rational drug targets.</P> [FIG OMISSION]</BR>
-
Adugna A. Woldesemayat,Khayalethu Ntushelo,David M. Modise 한국유전학회 2017 Genes & Genomics Vol.39 No.3
The advent of next generation sequencing has made possible massive availability of sequence information for in-depth structural and functional analysis of the genes and their encoded biological state in model and nonmodel organisms. In this study, we demonstrate a combinatorial approach for finding protein coding genes using ab initio and extrinsic evidence-based methods in monsonia (Monsonia burkeana Planch. ex harv). This is an important herbal tea crop, yet little is known about its coding genes. To our knowledge, this is the first description of protein coding genes with detailed functional annotation in M. burkeana. This study demonstrates that (1) regions of transcript assembly potentially encode protein coding genes, (2) homologous evidence with known functions reliably assigns functions to the identified genes (3) conserved domains suggest evolutionary and functional relationship of the crop with other lineage and (4) accuracy of finding coding genes in alignment free models and in RNA-seq alignment based transcript assembly performs well. This study provides a glimpse of functional information of the protein coding region at the transcriptome level and can be used as the basis for further investigation of the underlying genetic composition and molecular functions associated with M. burkeana.
-
Classifying Biomedical Literature Providing Protein Function Evidence
임준호,이규철 한국전자통신연구원 2015 ETRI Journal Vol.37 No.4
Because protein is a primary element responsible for biological or biochemical roles in living bodies, protein function is the core and basis information for biomedical studies. However, recent advances in bio technologies have created an explosive increase in the amount of published literature; therefore, biomedical researchers have a hard time finding needed protein function information. In this paper, a classification system for biomedical literature providing protein function evidence is proposed. Note that, despite our best efforts, we have been unable to find previous studies on the proposed issue. To classify papers based on protein function evidence, we should consider whether the main claim of a paper is to assert a protein function. We, therefore, propose two novel features — protein and assertion. Our experimental results show a classification performance with 71.89% precision, 90.0% recall, and a 79.94% F-measure. In addition, to verify the usefulness of the proposed classification system, two case study applications are investigated — information retrieval for protein function and automatic summarization for protein function text. It is shown that the proposed classification system can be successfully applied to these applications.
-
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
