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1.
Curr Comput Aided Drug Des ; 17(2): 225-234, 2021.
Article in English | MEDLINE | ID: mdl-32065094

ABSTRACT

INTRODUCTION: Short bowel syndrome (SBS) is a disabling condition that occurs following the loss of substantial portions of the intestine, leading to inadequate absorption of nutrients and fluids. Teduglutide is the only drug that has been FDA-approved for long-term treatment of SBS. This medicine exerts its biological effects through binding to the GLP-2 receptor. METHODS: The current study aimed to use computational mutagenesis approaches to design novel potent analogues of teduglutide. To this end, the constructed teduglutide-GLP2R 3D model was subjected to the alanine scanning mutagenesis where ARG20, PHE22, ILE23, LEU26, ILE27 and LYS30 were identified as the key amino acids involved in ligand-receptor interaction. In order to design potent teduglutide analogues, using MAESTROweb machine learning method, the residues of teduglutide were virtually mutated into all naturally occurring amino acids and the affinity improving mutations were selected for further analysis using PDBePISA methodology which interactively investigates the interactions established at the interfaces of macromolecules. RESULTS: The calculations resulted in D15I, D15L, D15M and N24M mutations, which can improve the binding ability of the ligand to the receptor. The final evaluation of identified mutations was performed by molecular dynamics simulations, indicating that D15I and D15M are the most reliable mutations to increase teduglutide affinity towards its receptor. CONCLUSION: The findings in the current study may facilitate designing more potent teduglutide analogues leading to the development of novel treatments in short bowel syndrome.


Subject(s)
Computer Simulation , Drug Design/methods , Peptide Fragments/chemical synthesis , Peptides/chemical synthesis , Protein Engineering/methods , Humans , Peptide Fragments/metabolism , Peptides/metabolism , Protein Binding/physiology
2.
Curr Pharm Biotechnol ; 16(8): 707-15, 2015.
Article in English | MEDLINE | ID: mdl-26044863

ABSTRACT

Tumor necrosis factor alpha (TNF-α) is an inflammatory cytokine, involved in both physiological and pathological pathways. Although there have been various attempts to express and purify human TNF-α, the current work introduces a simple, rapid, and efficient method for its production without loss of biological activity. The protein was expressed based on GST-tagged fusion system in Escherichia coli under optimized condition. The expressed GST fusion protein was applied to glutathione affinity column and then, TNF-α was cleaved off the GST using thrombin protease. The purity of the product was more than 95% and further size exclusion chromatography slightly improved the purity. The purified human TNF-α was tested for its biological activity and structural analysis, using MTT assay (EC(50) of 4.1 ×10E-12 M in L929 cell death assay) and circular dichroism spectropolarimetry, respectively. The results showed that the method used in this study enables successful production of highly purified and fully functional TNF-α.


Subject(s)
Tumor Necrosis Factor-alpha/isolation & purification , Cell Death , Cell Line , Chromatography, Gel , Circular Dichroism , Cloning, Molecular , Escherichia coli/genetics , Escherichia coli/metabolism , Gene Expression , Glutathione Transferase/genetics , Glutathione Transferase/metabolism , Humans , Recombinant Proteins/genetics , Recombinant Proteins/isolation & purification , Recombinant Proteins/metabolism , Tumor Necrosis Factor-alpha/genetics , Tumor Necrosis Factor-alpha/metabolism
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