Case Study from the year 2020 in the subject Computer Science – Bioinformatics, , language: English, abstract: Using Insilco analysis mode, the present study is an attempt to examine various characteristics conformation of senescence causing gene in rice. The two gene chosen were HCP and RR because, the interaction in between these two led to the onset of senescence in rice. Two gene that is HCP (Histidine-containing phosphor transfer protein 1) and RR (Two-component response regulator) are responsible for attaining the stage of senescence in rice.
Understanding their molecular and structural property will be going to let us closer to perform successful adjustments. Moreover, their specific property is also responsible for their specific interaction which led to generation of such signals that triggers senescence. Therefore, this analysis was aimed to understand the features of the two genes as well as their interaction by the means of computational technique.
Understanding the features, function and flow of gene will lead us to stabilized effective measure in order to get a beneficiary outcome while going for alteration in its characters. As the pure data for the structure conformation of the selected genes are not available so, we have at first, searched the most similar homolog of the query sequence and the search was based on similar sequence homology on the platform of local alignment tool. And further analysis was carried out on the base conformation of the most relevant homologs (structure/sequence) found.
We have analysed the query gene sequence by various dry lab analysis tool to explore its structural and molecular features with the motive to contribute a little knowledge for the sake of further studies to delay senescence in rice plant in order to increase grain productivity.
Rice is a perennial claim crop of the world. Besides satisfying the eager of energy rice, has also been known to support worlds trade economy. Hence, being a crop of such crucial importance its examinational study at genome level will serve in multiplying its production and quality to irrigate the burning crave of humanity. Likewise, the senescence gene of rice is responsible for its age duration. Hence, understanding its property at 360° will help us to modify or to alter its function in positive portion.
Understanding their molecular and structural property will be going to let us closer to perform successful adjustments. Moreover, their specific property is also responsible for their specific interaction which led to generation of such signals that triggers senescence. Therefore, this analysis was aimed to understand the features of the two genes as well as their interaction by the means of computational technique.
Understanding the features, function and flow of gene will lead us to stabilized effective measure in order to get a beneficiary outcome while going for alteration in its characters. As the pure data for the structure conformation of the selected genes are not available so, we have at first, searched the most similar homolog of the query sequence and the search was based on similar sequence homology on the platform of local alignment tool. And further analysis was carried out on the base conformation of the most relevant homologs (structure/sequence) found.
We have analysed the query gene sequence by various dry lab analysis tool to explore its structural and molecular features with the motive to contribute a little knowledge for the sake of further studies to delay senescence in rice plant in order to increase grain productivity.
Rice is a perennial claim crop of the world. Besides satisfying the eager of energy rice, has also been known to support worlds trade economy. Hence, being a crop of such crucial importance its examinational study at genome level will serve in multiplying its production and quality to irrigate the burning crave of humanity. Likewise, the senescence gene of rice is responsible for its age duration. Hence, understanding its property at 360° will help us to modify or to alter its function in positive portion.
€18.99
Bu e-kitabı satın alın ve 1 tane daha ÜCRETSİZ kazanın!
Dil İngilizce ● Biçim PDF ● Sayfalar 60 ● ISBN 9783346256355 ● Dosya boyutu 5.8 MB ● Yayımcı GRIN Verlag ● Kent München ● Ülke DE ● Yayınlanan 2020 ● Baskı 1 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 7628988 ● Kopya koruma olmadan
Aynı yazardan daha fazla e-kitap / Editör
415 Bu kategorideki e-kitaplar
