MODELLING OF NEW NEUROTROPHIC FACTOR PROTEIN BY COMPUTATIONAL TECHNIQUES AND CALCULATING INTERACTIN OF PROTEIN-PROTEIN

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PARVIZIAN HAJAR; KEYHANFAR MEHRNAZ; GHAEDI KAMRAN; ETEMADIFAR MASOUD

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Paper Information

Journal: MOLECULAR BIOLOGY RESEARCH COMMUNICATIONS Year:2014 | Volume:3 | Issue:SUPPL. (1) Page(s): 239-239

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Title

MODELLING OF NEW NEUROTROPHIC FACTOR PROTEIN BY COMPUTATIONAL TECHNIQUES AND CALCULATING INTERACTIN OF PROTEIN-PROTEIN

Author(s)

PARVIZIAN HAJAR | KEYHANFAR MEHRNAZ | GHAEDI KAMRAN | ETEMADIFAR MASOUD

Keywords

NEUROTROPHIC FACTOR

COMPUTERS TECHNIQUES

MODELLING OF PROTEIN

Abstract

NEUROTROPHIC FACTOR is a member of the neurotrophin family of growth factors. The NEUROTROPHIC FACTOR proteins is present in high concentration in cerebral cortex.This protein have 247 amino acids .The mature NEUROTROPHIC FACTOR is secreted to extracellular and bind to TrkB. Interaction to TrkB can lead to a variety of intracellular signaling cascades such as Ras-MAP kinase cascade. These cascades help to support the survival of existing neurons.computers techniques or bioinformatic techniques were applied to investigate the interaction of mutate NEUROTROPHIC FACTOR to TrkB compairing to Native NEUROTROPHIC FACTOR. Amino acids of NEUROTROPHIC FACTOR that were involved in interaction were identified .one of the amino acids was Gln84. This amino acid was mutated to Lys84 amino acid,by swiss pdb viewer software. This software produced pdb file format and the pdb file uploaded to 3Drefine server. This server consistent protein structure refinement by optimizing hydrogen bonding network and atomic-level energy minimization and modelled 5 structure. RAMPAGE server and Qmean server was used to select best structure. Finally binding energy was calculated by Hex.8.0.0 software. Etotale of. Native NEUROTROPHIC FACTOR is -675 and mutate BDNF is -678. The results showed the mutant structure interaction with TrkB is better than native protein. NEUROTROPHIC FACTOR shows pharmaceutical properties and modelling of new proteins and produce them can help in the development of the drug industry and mutant forms a good choice for treatment of Diseases of the nervous system.

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APA: Copy

PARVIZIAN, HAJAR, KEYHANFAR, MEHRNAZ, GHAEDI, KAMRAN, & ETEMADIFAR, MASOUD. (2014). MODELLING OF NEW NEUROTROPHIC FACTOR PROTEIN BY COMPUTATIONAL TECHNIQUES AND CALCULATING INTERACTIN OF PROTEIN-PROTEIN. MOLECULAR BIOLOGY RESEARCH COMMUNICATIONS, 3(SUPPL. (1)), 239-239. SID. https://sid.ir/paper/336088/en

Vancouver: Copy

PARVIZIAN HAJAR, KEYHANFAR MEHRNAZ, GHAEDI KAMRAN, ETEMADIFAR MASOUD. MODELLING OF NEW NEUROTROPHIC FACTOR PROTEIN BY COMPUTATIONAL TECHNIQUES AND CALCULATING INTERACTIN OF PROTEIN-PROTEIN. MOLECULAR BIOLOGY RESEARCH COMMUNICATIONS[Internet]. 2014;3(SUPPL. (1)):239-239. Available from: https://sid.ir/paper/336088/en

IEEE: Copy

HAJAR PARVIZIAN, MEHRNAZ KEYHANFAR, KAMRAN GHAEDI, and MASOUD ETEMADIFAR, “MODELLING OF NEW NEUROTROPHIC FACTOR PROTEIN BY COMPUTATIONAL TECHNIQUES AND CALCULATING INTERACTIN OF PROTEIN-PROTEIN,” MOLECULAR BIOLOGY RESEARCH COMMUNICATIONS, vol. 3, no. SUPPL. (1), pp. 239–239, 2014, [Online]. Available: https://sid.ir/paper/336088/en

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