Exploring computational protein fishing (CPF) to identify argonaute proteins from sequenced crop genomes

• Autorzy: Basu P. , Ganguli S. , Gupta S. , Datta A.
• Języki publikacji: EN

Abstrakty

EN

Plant RNA interference has been a very well studied phenomenon since its discovery. We are well versed with the types of small noncoding RNAs that are prevalent in the plant systems and their pathways of biogenesis and subsequent actions. However, apart from model plant systems such as Arabidopsis and Oryza, very little information is available regarding the other members of the RNA interference machinery; specially Argonaute proteins which acts as the major stabilizing factor for execution of the interference. This work focuses on the exploration of the sequenced crop genomes available on the web using a hybrid approach of computational protein fishing and genome mining. The results indicate that this hybrid approach was successful in the identification of argonaute proteins in the crop genomes under study.

Słowa kluczowe

EN

protein; argonaute; RNA interference; Arabidopsis; Oryza; crop plant; plant genome

• Wydawca: -
• Czasopismo: International Letters of Natural Sciences
• Rocznik: 2015
• Tom: 06
• Opis fizyczny: p.27-36,fig.,ref.

Twórcy

autor

Basu P.

• DBT - Centre for Bioinformatics, Presidency University, Kolkata , India

autor

Ganguli S.

• DBT - Centre for Bioinformatics, Presidency University, Kolkata , India

autor

Gupta S.

• PG Department of Botany, Barasat Government College, Barasat , India

autor

Datta A.

• Department of Botany, Jhargram Raj College, Jhargram , India

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