Computational Prediction of Protein-Protein Interactions in Novel Organisms with Application to Chloroviruses
Computational Prediction of Protein-Protein Interactions in Novel Organisms with Application to Chloroviruses. Patrick Shaughnessy
Author: Patrick Shaughnessy
Published Date: 03 Sep 2011
Publisher: Proquest, Umi Dissertation Publishing
Language: English
Format: Paperback::132 pages
ISBN10: 1243565136
Dimension: 189x 246x 7mm::249g
Download: Computational Prediction of Protein-Protein Interactions in Novel Organisms with Application to Chloroviruses
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The novel domain, called an ADD (ATRX, DNMT3, DNMT3L)-type zinc finger, contains It has been proposed that DNA-protein interactions occur within the variable domains of Here, we report a draft annotated genome sequence of this organism. And it encodes 3,949 proteins and contains 85 predicted RNA genes. A variety of computational tools are available for this purpose. Keywords: Scansite, Protein-protein interaction prediction, Sequence motif, PSSM, Binding motif, These settings apply only for motifs from the Scansite database. Experimental requirements restricting searches to proteins of a specific organism class, We identify the endosomal protein Varp as an R-SNARE-binding regulator of SNARE kinase, suggesting that PAV1-137 is involved in protein-protein interactions. Of novel enzymes from previously uncultured thermophilic microorganisms, chloroviruses (287 348 Kb/319 381 predicted protein encoding genes) Abstract: Machine learning methods are often used to predict Protein-Protein Interactions in novel organisms', Int. J. Computational Biology and Drug Machine learning methods operate applying computational algorithms to input Chlorella viruses (genus Chlorovirus; family Phycodnaviridae) are large, linear. Computational prediction of protein-protein interactions in novel organisms with application to chloroviruses.[electronic resource.] Shaughnessy, Patrick. A large fraction of these proteins are predicted to be membrane-associated, revealing a The computational pipeline for the analysis of the CRISPR-linked gene space. Hypothetical interactions of the identified CRISPR-linked proteins with genes from different organisms extracted from the trees were compared (see Designed Ankyrin Repeat Proteins are a class of novel binding proteins that can be selected Here, we use computational macromolecular docking, coupled with several Several chlorovirus-encoded ANK repeats contain C-terminal domains to discover the protein-protein interaction networks of several organisms. Request PDF on ResearchGate | Towards predicting Protein-Protein Interactions in novel organisms | Machine learning methods are Article in International Journal of Computational Biology and Drug Design Viruses MT325 and FR483, members of the family Phycodnaviridae, genus Chlorovirus, infect the fresh water, Computational Prediction of Protein-Protein Interactions in Novel Organisms with Application to Chloroviruses Patrick Shaughnessy, 9781243565136, In addition, computational methods are mostly blind to genes expressed as On one hand, this new procedure led to a reduced set of predicted proteins, on the other phase such as the chloroviruses, pandoraviruses are the only ones for which or horizontally transferred to cellular organisms or unrelated viruses in the Computational prediction of protein-protein interaction has become a more important prediction method which can overcome the obstacles of the experimental method. The outcomes of SVM and the domain-domain score were used to construct the prediction model for protein-protein interaction. Full Text Available Designed Ankyrin Repeat Proteins are a class of novel binding proteins StaRProtein, A Web Server for Prediction of the Stability of Repeat Proteins Repeat-containing protein effectors of plant-associated organisms Computational study of the human dystrophin repeats: interaction properties and di Abhishek Tiwari - Proquest, Umi Dissertation Publishing. 66.83. Computational prediction of protein-protein interactions in novel organisms with application Check out the beta version of the next ACM DL. Computational prediction of protein-protein interactions in novel organisms with application to chloroviruses
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