• Title/Summary/Keyword: protein threading

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Directional adjacency-score function for protein fold recognition

  • Heo, Mu-Young;Cheon, Moo-Kyung;Kim, Suhk-Mann;Chung, Kwang-Hoon;Chang, Ik-Soo
    • Interdisciplinary Bio Central
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    • v.1 no.2
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    • pp.8.1-8.6
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    • 2009
  • Introduction: It is a challenge to design a protein score function which stabilizes the native structures of many proteins simultaneously. The coarse-grained description of proteins to construct the pairwise-contact score function usually ignores the backbone directionality of protein structures. We propose a new two-body score function which stabilizes all native states of 1,006 proteins simultaneously. This two-body score function differs from the usual pairwise-contact functions in that it considers two adjacent amino acids at two ends of each peptide bond with the backbone directionality from the N-terminal to the C-terminal. The score is a corresponding propensity for a directional alignment of two adjacent amino acids with their local environments. Results and Discussion: We show that the construction of a directional adjacency-score function was achieved using 1,006 training proteins with the sequence homology less than 30%, which include all representatives of different protein classes. After parameterizing the local environments of amino acids into 9 categories depending on three secondary structures and three kinds of hydrophobicity of amino acids, the 32,400 adjacency-scores of amino acids could be determined by the perceptron learning and the protein threading. These could stabilize simultaneously all native folds of 1,006 training proteins. When these parameters are tested on the new distinct 382 proteins with the sequence homology less than 90%, 371 (97.1%) proteins could recognize their native folds. We also showed using these parameters that the retro sequence of the SH3 domain, the B domain of Staphylococcal protein A, and the B1 domain of Streptococcal protein G could not be stabilized to fold, which agrees with the experimental evidence.

3D Structure Prediction of Human 5-Hydroxytryptamine Receptor 7 (5-HT7R)

  • Madhavan, Thirumurthy
    • Journal of Integrative Natural Science
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    • v.11 no.2
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    • pp.87-92
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    • 2018
  • 5-Hydroxytryptamine receptor 7 ($5-HT_7R$) is one of G-Protein coupled receptors, which is found to be involved in the pathophysiology of various neurological disorders including depression, sleep disorders, memory deficiency and neuropathic pain. After activation of $5-HT_7R$ by serotonin, it activates the production of the intracellular signaling molecule cyclic AMP. The availability of 3D structure of the receptor would enhance the development of new drugs. Hence, in the present study, homology modelling of human 5-hydroxytryptamine receptor 7 ($5-HT_7R$) was performed using comparative modelling (Easy Modeller) and threading (I-TASSER) approaches. The generated models were validated using Ramachandran plot and ERRAT plot and the best models were selected based on the validation results. The 3D model developed here could be useful for identifying crucial residues and further docking study.

Homology Modelling of Chemerin like Receptor-1 (CMKLR1): Potential Target for Treating Type II Diabetes

  • B, Sathya.
    • Journal of Integrative Natural Science
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    • v.10 no.1
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    • pp.20-26
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    • 2017
  • Chemerin receptor, which predominantly expressed in immune cells as well as adipose tissue, was found to stimulate chemotaxis of dendritic cells and macrophages to the site of inflammation. Chemerin is a widely distributed multifunctional secreted protein implicated in immune cell migration, adipogenesis, osteoblastogenesis, angiogenesis, myogenesis, and glucose homeostasis. Recent studies suggest chemerin may play an important role in the pathogenesis of obesity and insulin resistance and it becomes a potential therapeutic target for treating type II diabetes. The crystal structure of chemerin receptor has not yet been resolved. Therefore, in the present study, homology modelling of CMKLR1 was done utilizing the crystal structure of human angiotension receptor in complex with inverse agonist olmesartan as the template. Since the template has low sequence identity, we have incorporated both threading and comparative modelling approach to generate the three dimensional structure. 3D models were generated and validated. The reported models can be used to characterize the critical amino acid residues in the binding site of CMKLR1.

Computational Analysis of the 3-D structure of Human GPR87 Protein: Implications for Structure-Based Drug Design

  • Rani, Mukta;Nischal, Anuradha;Sahoo, Ganesh Chandra;Khattri, Sanjay
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7473-7482
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    • 2013
  • The G-protein coupled receptor 87 (GPR87) is a recently discovered orphan GPCR which means that the search of their endogenous ligands has been a novel challenge. GPR87 has been shown to be overexpressed in squamous cell carcinomas (SCCs) or adenocarcinomas in lungs and bladder. The 3D structure of GPR87 was here modeled using two templates (2VT4 and 2ZIY) by a threading method. Functional assignment of GPR87 by SVM revealed that along with transporter activity, various novel functions were predicted. The 3D structure was further validated by comparison with structural features of the templates through Verify-3D, ProSA and ERRAT for determining correct stereochemical parameters. The resulting model was evaluated by Ramachandran plot and good 3D structure compatibility was evidenced by DOPE score. Molecular dynamics simulation and solvation of protein were studied through explicit spherical boundaries with a harmonic restraint membrane water system. A DRY-motif (Asp-Arg-Tyr sequence) was found at the end of transmembrane helix3, where GPCR binds and thus activation of signals is transduced. In a search for better inhibitors of GPR87, in silico modification of some substrate ligands was carried out to form polar interactions with Arg115 and Lys296. Thus, this study provides early insights into the structure of a major drug target for SCCs.