会议论文详细信息
International Conference on Process Engineering and Advanced Materials 2018
Sequence analysis and comparative modelling of nucleocapsid protein from pseudomonas stutzeri
Omar, S.^1 ; Mohd Tap, F.^1 ; Shameli, K.^1 ; Rasit Ali, R.^1 ; Che Jusoh, N.W.^1 ; Ahmad Khairudin, N.B.^1
Chemical Energy Conversion and Application IKohza, Department of Chemical Process Engineering, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur
54100, Malaysia^1
关键词: Computational analysis;    Computational predictions;    Experimental methods;    Nucleocapsid proteins;    Protein-binding sites;    Pseudomonas stutzeri;    Secondary structure prediction;    Sequence alignments;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/458/1/012025/pdf
DOI  :  10.1088/1757-899X/458/1/012025
来源: IOP
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【 摘 要 】

Protein structure can be determined by either experimental method or by computational prediction, which commonly known as homology modelling. The objective of this study is to predict the structure of protein from Pseudomonas stutzeri using homology modelling. The suitable template was identified with 80.35% of sequence identity determined by sequence alignment. MODELLER was used to predict the model using the method of satisfaction of spatial restraints. The model was then analysed by computational analysis tools such as Ramachandran's Plot, Errat, Verify3D Profile evaluation, Secondary Structure Prediction Analysis and Protein Binding Site (ProBiS). The results suggest that the model is reliable and has good stereochemical properties.

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