Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Computational Biology/Sequence Motif Analysis"'
Autor:
Can Cenik, Melissa J. Moore, Alexander F. Palazzo, Stefan P. Tarnawsky, Adnan Derti, Murat Tasan, Abdalla Akef, Frederick P. Roth, Hon Nian Chua, Hui Zhang
Publikováno v:
PLoS Genetics
PLoS Genetics, Vol 7, Iss 4, p e1001366 (2011)
PLoS Genetics, Vol 7, Iss 4, p e1001366 (2011)
In higher eukaryotes, messenger RNAs (mRNAs) are exported from the nucleus to the cytoplasm via factors deposited near the 5′ end of the transcript during splicing. The signal sequence coding region (SSCR) can support an alternative mRNA export (AL
Autor:
Yingjia Shen, Denghui Xing, Xiaohui Wu, Jianti Zheng, Qingshun Quinn Li, Diana M. Kroll, Guoli Ji
Publikováno v:
PLoS ONE, Vol 6, Iss 2, p e14719 (2011)
PLoS ONE
PLoS ONE
Background Alternative polyadenylation as a mechanism in gene expression regulation has been widely recognized in recent years. Arabidopsis polyadenylation factor PCFS4 was shown to function in leaf development and in flowering time control. The func
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 1, p e14559 (2011)
PLoS ONE, Vol 6, Iss 1, p e14559 (2011)
Transcription factors are proteins that bind to motifs on the DNA and thus affect gene expression regulation. The qualitative description of the corresponding processes is therefore important for a better understanding of essential biological mechani
Autor:
William H. Majoros, Uwe Ohler
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 12, p e1001037 (2010)
PLoS Computational Biology
PLoS Computational Biology
The computational detection of regulatory elements in DNA is a difficult but important problem impacting our progress in understanding the complex nature of eukaryotic gene regulation. Attempts to utilize cross-species conservation for this task have
Publikováno v:
PLoS ONE, Vol 5, Iss 12, p e14444 (2010)
PLoS ONE
PLoS ONE
The increasing ability to generate large-scale, quantitative proteomic data has brought with it the challenge of analyzing such data to discover the sequence elements that underlie systems-level protein behavior. Here we show that short, linear prote
Publikováno v:
PLoS ONE
PLoS ONE, Vol 5, Iss 12, p e14423 (2010)
PLoS ONE, Vol 5, Iss 12, p e14423 (2010)
Background: Pancreatic adenocarcinoma (PAC) is one of the most intractable malignancies. In order to search for potential new therapeutic targets, we relied on computational methods aimed at identifying transcription factor binding sites (TFBSs) over
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 12, p e1001020 (2010)
PLoS Computational Biology
PLoS Computational Biology
Computational methods attempting to identify instances of cis-regulatory modules (CRMs) in the genome face a challenging problem of searching for potentially interacting transcription factor binding sites while knowledge of the specific interactions
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 11, p e1000978 (2010)
PLoS Computational Biology
Buslje, C M, Teppa, E, Di Doménico, T, Delfino, J M & Nielsen, M 2010, ' Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification ', P L o S Computational Biology (Online), vol. 6, no. 11 . https://doi.org/10.1371/journal.pcbi.1000978
Scopus-Elsevier
PLoS Computational Biology
Buslje, C M, Teppa, E, Di Doménico, T, Delfino, J M & Nielsen, M 2010, ' Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification ', P L o S Computational Biology (Online), vol. 6, no. 11 . https://doi.org/10.1371/journal.pcbi.1000978
Scopus-Elsevier
Identification of catalytic residues (CR) is essential for the characterization of enzyme function. CR are, in general, conserved and located in the functional site of a protein in order to attain their function. However, many non-catalytic residues
Publikováno v:
PLoS ONE
PLoS One
PLoS ONE 5:e13402 (2010)
PLoS ONE, Vol 5, Iss 10, p e13402 (2010)
ResearcherID
PLoS One
PLoS ONE 5:e13402 (2010)
PLoS ONE, Vol 5, Iss 10, p e13402 (2010)
ResearcherID
Pur-α is a nucleic acid-binding protein involved in cell cycle control, transcription, and neuronal function. Initially no prediction of the three-dimensional structure of Pur-α was possible. However, recently we solved the X-ray structure of Pur-
Autor:
Oxana V. Galzitskaya, Eugeniya I. Furletova, Michail A. Roytberg, Natalya S. Bogatyreva, Michail Yu. Lobanov
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 10, p e1000958 (2010)
PLoS Computational Biology
PLoS Computational Biology
Intrinsically disordered regions serve as molecular recognition elements, which play an important role in the control of many cellular processes and signaling pathways. It is useful to be able to predict positions of disordered regions in protein cha