In silico approach to predict candidate R proteins and to define their domain architecture (Record no. 48438)

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fixed length control field 02582nam a2200241Ia 4500
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control field MX-MdCICY
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control field 20250625153937.0
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Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-14244
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Title In silico approach to predict candidate R proteins and to define their domain architecture
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Volume/sequential designation BMC Research Notes, 5(1), p.678, 2012
520 3# - SUMMARY, ETC.
Summary, etc. Background: Plant resistance genes, which encode R-proteins, constitute one of the most important and widely investigated gene families. Thanks to the use of both genetic and molecular approaches, more than 100 R genes have been cloned so far. Analysis of resistance proteins and investigation of domain properties may afford insights into their role and function. Moreover, genomic experiments and availability of high-throughput sequence data are very useful for discovering new R genes and establish hypotheses about R-genes architecture. Result: We surveyed the PRGdb dataset to provide valuable information about hidden R-protein features. Through an in silico approach 4409 putative R-proteins belonging to 33 plant organisms were analysed for domain associations frequency. The proteins showed common domain associations as well as previously unknown classes. Interestingly, the number of proteins falling into each class was found inversely related to domain arrangement complexity. Out of 31 possible theoretical domain combinations, only 22 were found. Proteins retrieved were filtered to highlight, through the visualization of a Venn diagram, candidate classes able to exert resistance function. Detailed analyses performed on conserved profiles of those strong putative R proteins revealed interesting domain features. Finally, several atypical domain associations were identified. Conclusion: The effort made in this study allowed us to approach the R-domains arrangement issue from a different point of view, sorting through the vast diversity of R proteins. Overall, many protein features were revealed and interesting new domain associations were found. In addition, insights on domain associations meaning and R domains modelling were provided.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DISEASE RESISTANCE GENE
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PLANT UNIGENE
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DOMAIN ARRANGEMENTS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOINFORMATICS ANALYSES
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CONSERVATION LEVEL
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Sanseverino, W.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Ercolano, M.R.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1IcxrneMH_EF00ujXyPwgmHNhnx42NnpM/view?usp=drivesdk">https://drive.google.com/file/d/1IcxrneMH_EF00ujXyPwgmHNhnx42NnpM/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-14244 25.06.2025 25.06.2025 Documentos solicitados