Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)

Under extreme temperature of frozen state, only a few type of protein can be survived which known as antifreeze protein (AFP). The AFP can prevent and control the ice growth within the cell and avoid the cell from damage. A novel antifreeze protein (Afp1), Leucosporidium antarcticum with 411 base p...

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Main Author: Zulkifli, Mohammad Fairuz
Format: Thesis
Language:English
Published: 2010
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Online Access:http://psasir.upm.edu.my/id/eprint/49802/1/FS%202010%2055RR.pdf
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spelling my-upm-ir.498022016-11-28T07:54:25Z Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1) 2010-04 Zulkifli, Mohammad Fairuz Under extreme temperature of frozen state, only a few type of protein can be survived which known as antifreeze protein (AFP). The AFP can prevent and control the ice growth within the cell and avoid the cell from damage. A novel antifreeze protein (Afp1), Leucosporidium antarcticum with 411 base pair was expressed in pET32b and used three different E. Coli host strains; BL21 (DE3), Origami (DE3) and RosettaGami (DE3). The Afp1 with 177 residues was subjected to template analysis but it failed and 54 random template of AFP was chosen and aligned multiple with ClustalW but still gave poor results. The sequence was then threaded with FUGUE, mGenthreader and 3DPSSM but unsatisfied score level obtained. Lastly, ab-initio I-TASSER (iterativethreading assembly refinement) method was applied and it produced five predicted models of Afp1; AFP1, AFP2, AFP3, AFP4 and AFP5. After evaluation process, AFP3 proposed the best results with the model of four alpha helices and two beta sheets. Almost 80% of the residues were located in the favoured regions which strongly support this predicted model. It also showed average score between 0.30-0.60 in the Verify3D analysis which is satisfying for a low percentage of similarity protein models. In the alpha helix segments, there were five major amino acids (serine, threonine, aspartic acid,asparagine and glutamine) which had high possibility to be bonded with the water molecule at the ice surface. Molecular Dynamics (MD) simulation was applied on the AFP3 model to find the optimum temperature for the Afp1 activity. The model was repaired by using Simulated Annealing (SA) before proceed to MD simulations at 273K, 277K and 283K at 3ns. The root mean square deviation (RMSD) and radius of gyration analysis showed that the model of Afp1 was most stable at 277K. Thus, this research managed to predict the Afp1 structure via ab-initio I-TASSER simulations and suggest that the structure of Afp1 had optimum activity at 277K. Antifreeze proteins Crystallization Chemistry - Data processing 2010-04 Thesis http://psasir.upm.edu.my/id/eprint/49802/ http://psasir.upm.edu.my/id/eprint/49802/1/FS%202010%2055RR.pdf application/pdf en public masters Universiti Putra Malaysia Antifreeze proteins Crystallization Chemistry - Data processing
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
topic Antifreeze proteins
Crystallization
Chemistry - Data processing
spellingShingle Antifreeze proteins
Crystallization
Chemistry - Data processing
Zulkifli, Mohammad Fairuz
Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
description Under extreme temperature of frozen state, only a few type of protein can be survived which known as antifreeze protein (AFP). The AFP can prevent and control the ice growth within the cell and avoid the cell from damage. A novel antifreeze protein (Afp1), Leucosporidium antarcticum with 411 base pair was expressed in pET32b and used three different E. Coli host strains; BL21 (DE3), Origami (DE3) and RosettaGami (DE3). The Afp1 with 177 residues was subjected to template analysis but it failed and 54 random template of AFP was chosen and aligned multiple with ClustalW but still gave poor results. The sequence was then threaded with FUGUE, mGenthreader and 3DPSSM but unsatisfied score level obtained. Lastly, ab-initio I-TASSER (iterativethreading assembly refinement) method was applied and it produced five predicted models of Afp1; AFP1, AFP2, AFP3, AFP4 and AFP5. After evaluation process, AFP3 proposed the best results with the model of four alpha helices and two beta sheets. Almost 80% of the residues were located in the favoured regions which strongly support this predicted model. It also showed average score between 0.30-0.60 in the Verify3D analysis which is satisfying for a low percentage of similarity protein models. In the alpha helix segments, there were five major amino acids (serine, threonine, aspartic acid,asparagine and glutamine) which had high possibility to be bonded with the water molecule at the ice surface. Molecular Dynamics (MD) simulation was applied on the AFP3 model to find the optimum temperature for the Afp1 activity. The model was repaired by using Simulated Annealing (SA) before proceed to MD simulations at 273K, 277K and 283K at 3ns. The root mean square deviation (RMSD) and radius of gyration analysis showed that the model of Afp1 was most stable at 277K. Thus, this research managed to predict the Afp1 structure via ab-initio I-TASSER simulations and suggest that the structure of Afp1 had optimum activity at 277K.
format Thesis
qualification_level Master's degree
author Zulkifli, Mohammad Fairuz
author_facet Zulkifli, Mohammad Fairuz
author_sort Zulkifli, Mohammad Fairuz
title Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
title_short Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
title_full Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
title_fullStr Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
title_full_unstemmed Structural and functional prediction of Leucosporidium antarcticum antifreeze protein (Afp1)
title_sort structural and functional prediction of leucosporidium antarcticum antifreeze protein (afp1)
granting_institution Universiti Putra Malaysia
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/49802/1/FS%202010%2055RR.pdf
_version_ 1747812022171467776