{"title":"基于计算方法的人粒细胞巨噬细胞集落刺激因子稳定性突变分析","authors":"S. Vignesh, S. Narayanan, M. Sivanandha","doi":"10.3923/TB.2015.1.13","DOIUrl":null,"url":null,"abstract":"Granulocyte Macrophage Colony Stimulating Factor (GM-CSF) is a 16.29 kDa cytokine that regulates the leukocyte production, migration and functions. The GM-CSF receptor ligand interaction stability plays vital role for prolonged differentiation of haematopoietic stem cell into granulocytes and monocytes. In the present investigation attempts were made to increase the number of stabilization centres in GM-CSF ligand using molecular simulation. This improves half-life stability of GM-CSF receptor ligand interaction complex. The numbers of stabilization centres were increased by amino-acid substitution which led to change in contact energy, hydrophobicity index and unfolding Gibbs free energy without altering receptor ligand interaction. Multiple sequence alignment of GM-CSF sequence using ClustalW with Ovies aries, Homo sapiens, Mus musculus and Gallus gallus species revealed the conserved domain regions and aminoacid dissimilarities in conserved and other regions. Based on the above, 21N, 25L, 42V, 55L, 56Q, 93E and 102T were mutated with its aminoacid substitution property. Different combinations of mutation were incorporated in the amino acid sequence and mutant proteins were modelled using structure of GM-CSF ligand (PDB ID: 1CSG) as a template by MODELLER. After mutation, the GLU21, LEU25, LEU55 and THR102 positions were identified as stability centre using SCide. Mutations at residues LEU55 and THR102 had 16.71% lesser energy value than the wild type GMCSF energy value which is 6831.73. The result suggested that, the stability of human GM-CSF has been increased (as the energy decreases) due to mutagenesis by computational tools.","PeriodicalId":164864,"journal":{"name":"Trends in Bioinformatics","volume":"357 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mutational Analysis on Human Granulocyte Macrophage-Colony Stimulating Factor Stability Using Computational Approaches\",\"authors\":\"S. Vignesh, S. Narayanan, M. Sivanandha\",\"doi\":\"10.3923/TB.2015.1.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Granulocyte Macrophage Colony Stimulating Factor (GM-CSF) is a 16.29 kDa cytokine that regulates the leukocyte production, migration and functions. The GM-CSF receptor ligand interaction stability plays vital role for prolonged differentiation of haematopoietic stem cell into granulocytes and monocytes. In the present investigation attempts were made to increase the number of stabilization centres in GM-CSF ligand using molecular simulation. This improves half-life stability of GM-CSF receptor ligand interaction complex. The numbers of stabilization centres were increased by amino-acid substitution which led to change in contact energy, hydrophobicity index and unfolding Gibbs free energy without altering receptor ligand interaction. Multiple sequence alignment of GM-CSF sequence using ClustalW with Ovies aries, Homo sapiens, Mus musculus and Gallus gallus species revealed the conserved domain regions and aminoacid dissimilarities in conserved and other regions. Based on the above, 21N, 25L, 42V, 55L, 56Q, 93E and 102T were mutated with its aminoacid substitution property. Different combinations of mutation were incorporated in the amino acid sequence and mutant proteins were modelled using structure of GM-CSF ligand (PDB ID: 1CSG) as a template by MODELLER. After mutation, the GLU21, LEU25, LEU55 and THR102 positions were identified as stability centre using SCide. Mutations at residues LEU55 and THR102 had 16.71% lesser energy value than the wild type GMCSF energy value which is 6831.73. 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引用次数: 1
摘要
粒细胞巨噬细胞集落刺激因子(GM-CSF)是一种16.29 kDa的细胞因子,调节白细胞的产生、迁移和功能。GM-CSF受体配体相互作用的稳定性对造血干细胞向粒细胞和单核细胞的长期分化起着至关重要的作用。在目前的研究中,尝试使用分子模拟来增加GM-CSF配体中稳定中心的数量。这提高了GM-CSF受体配体相互作用复合物的半衰期稳定性。在不改变受体与配体相互作用的情况下,氨基酸取代增加了稳定中心的数量,从而改变了接触能、疏水指数和展开吉布斯自由能。利用ClustalW对不同种属(Ovies aries, Homo sapiens, Mus musus and Gallus Gallus)的GM-CSF序列进行多序列比对,发现了保守结构域以及保守区域和其他区域的氨基酸差异。在此基础上,对21N、25L、42V、55L、56Q、93E和102T进行了氨基酸取代性突变。在氨基酸序列中加入不同的突变组合,利用MODELLER软件以GM-CSF配体(PDB ID: 1CSG)结构为模板对突变蛋白进行建模。突变后,利用side鉴定出GLU21、LEU25、LEU55和THR102位点为稳定中心。LEU55和THR102残基突变能值比野生型GMCSF能值6831.73低16.71%。结果表明,由于计算工具的诱变,人GM-CSF的稳定性得到了提高(能量降低)。
Mutational Analysis on Human Granulocyte Macrophage-Colony Stimulating Factor Stability Using Computational Approaches
Granulocyte Macrophage Colony Stimulating Factor (GM-CSF) is a 16.29 kDa cytokine that regulates the leukocyte production, migration and functions. The GM-CSF receptor ligand interaction stability plays vital role for prolonged differentiation of haematopoietic stem cell into granulocytes and monocytes. In the present investigation attempts were made to increase the number of stabilization centres in GM-CSF ligand using molecular simulation. This improves half-life stability of GM-CSF receptor ligand interaction complex. The numbers of stabilization centres were increased by amino-acid substitution which led to change in contact energy, hydrophobicity index and unfolding Gibbs free energy without altering receptor ligand interaction. Multiple sequence alignment of GM-CSF sequence using ClustalW with Ovies aries, Homo sapiens, Mus musculus and Gallus gallus species revealed the conserved domain regions and aminoacid dissimilarities in conserved and other regions. Based on the above, 21N, 25L, 42V, 55L, 56Q, 93E and 102T were mutated with its aminoacid substitution property. Different combinations of mutation were incorporated in the amino acid sequence and mutant proteins were modelled using structure of GM-CSF ligand (PDB ID: 1CSG) as a template by MODELLER. After mutation, the GLU21, LEU25, LEU55 and THR102 positions were identified as stability centre using SCide. Mutations at residues LEU55 and THR102 had 16.71% lesser energy value than the wild type GMCSF energy value which is 6831.73. The result suggested that, the stability of human GM-CSF has been increased (as the energy decreases) due to mutagenesis by computational tools.