HOMOLOGY MODELING AND ANALYSIS OF STRUCTURE PREDICTIONS OF KLF8 PROTEIN FROM HOMO SAPIENS

被引:1
|
作者
Jatav, Vinod Kumar [1 ]
Parasher, Lovekesh [1 ]
Raje, Ankit [1 ]
Tiwari, Samraddhi [1 ]
机构
[1] Madhav Inst Sci & Technol, Dept Biotechnol, Gwalior, Madhya Pradesh, India
来源
INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH | 2014年 / 5卷 / 03期
关键词
KLF8; NCBI; BLAST; Homology modeling; I-TASSER; SWISS-MODEL;
D O I
10.13040/IJPSR.0975-8232.5(3).1045-50
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
KLF proteins are highly conserved among mammals from human to mouse, with many KLFs also having homologs in Gallus gallus (Chicken), Danio rerio (Zebra fish), and Xenopus laevis (Frog). On the basis of functional characteristics, KLF proteins can be divided into three distinct groups. KLFs in group 1 (KLFs 3, 8, and 12) serve as transcriptional repressors through their interaction with the carboxy-terminal binding protein (CtBP). Family members in group 2 (KLFs 1, 2, 4, 5, 6, and 7) function predominantly as transcriptional activators. KLFs in group 3 ( KLFs 9, 10, 11, 13, 14, and 16) have repressor activity through their interaction with the common transcriptional corepressor Sin3A. The encoded protein is thought to play an important role in the regulation of epithelial to mesenchymal transition, a process which occurs normally during development but also during metastasis. A homology modelling method was used for the prediction of the structure and other various physico-chemical properties of protein were obtained using ProtParam. 3D structure was constructed for the target protein using I-TASSER and SWISS-MODEL. The comparison between the structures generated from above mentioned tools indicates greater acceptability of the structure generated from I-TASSER and validation of structure was performed by using Ramachandran plot. The present study gave an outlook on KLF8 protein and further research to be carried out in preventing the cancer in human.
引用
收藏
页码:1045 / 1050
页数:6
相关论文
共 50 条
  • [1] Homology Modeling of the DNA Binding and Dimerization Partner Domains of E2F1 Transcription Factor Protein in Homo sapiens
    Nayan, Mohd Yasser
    Jusoh, Siti Azma
    Mutalip, Siti Syairah Mohd
    Mohamed, Ruzianisra
    IEEE SYMPOSIUM ON BUSINESS, ENGINEERING AND INDUSTRIAL APPLICATIONS (ISBEIA 2012), 2012, : 347 - 351
  • [2] Advances in homology protein structure modeling
    Xiang, Zhexin
    CURRENT PROTEIN & PEPTIDE SCIENCE, 2006, 7 (03) : 217 - 227
  • [3] Homology modeling of γ-aminobutyrate-aminotransferase, a pyridoxal phosphate-dependent enzyme of Homo sapiens: Molecular modeling approach to rational drug design against epilepsy
    Khan, Hina Naz
    Rashid, Hamid
    Kulsoom, Saima
    AFRICAN JOURNAL OF BIOTECHNOLOGY, 2011, 10 (31): : 5916 - 5926
  • [4] Homology Modeling and Analysis of Structure Predictions of the Bovine Rhinitis B Virus RNA Dependent RNA Polymerase (RdRp)
    Rai, Devendra K.
    Rieder, Elizabeth
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2012, 13 (07): : 8998 - 9013
  • [5] Structural Analysis of hypothetical protein Accession No CAI56786.1 of Homo sapiens
    Qureshi, Shahin Ruby
    Desu, Jyothsna
    HELIX, 2015, 5 : 735 - 738
  • [6] Effect of mutation on aggregation propensity in homology model structures of syntaxin-3 from Homo sapiens
    Maheshwari, Amutha Selvaraj
    Rajesh, Durairaj
    Padmanabhan, Parasuraman
    Archunan, Govindaraju
    INDIAN JOURNAL OF BIOCHEMISTRY & BIOPHYSICS, 2014, 51 (05) : 335 - 342
  • [7] Homology modelling and analysis of structure predictions of human tumour necrosis factor ligand superfamily member 8
    Oso, Babatunde Joseph
    Oyewo, Emmanuel Bukoye
    Oladiji, Adenike Temidayo
    FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES, 2021, 7 (01)
  • [8] Homology modelling and analysis of structure predictions of human tumour necrosis factor ligand superfamily member 8
    Babatunde Joseph Oso
    Emmanuel Bukoye Oyewo
    Adenike Temidayo Oladiji
    Future Journal of Pharmaceutical Sciences, 7
  • [9] PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL
    Janson, Giacomo
    Zhang, Chengxin
    Prado, Maria Giulia
    Paiardini, Alessandro
    BIOINFORMATICS, 2017, 33 (03) : 444 - 446
  • [10] From fold recognition to homology modeling: an analysis of protein modeling challenges at different levels of prediction complexity
    Olszewski, KA
    Yan, L
    Edwards, D
    Yeh, T
    COMPUTERS & CHEMISTRY, 2000, 24 (3-4): : 499 - 510