• 제목/요약/키워드: CRHR1

검색결과 4건 처리시간 0.014초

Protein-Protein Interaction Analysis of Corticotropin - Releasing Hormone Receptor 1 with Corticotropin-Releasing Hormone and Sauvagine

  • Nagarajan, Santhosh Kumar
    • 통합자연과학논문집
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    • 제11권2호
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    • pp.101-106
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    • 2018
  • Corticotropin - releasing hormone receptor 1 (CRHR1) forms an integral part of the pathophysiology of disorders like post-traumatic stress disorder, stress, anxiety, addiction, and depression. Hence it is essential to look for new, potent and structure-specific inhibitors of CRHR1. We have analysed the protein-protein interaction complexes of the CRHR1 receptor with its native ligand CRF and full agonist Sauvagine. The structure of Sauvagine was predicted using homology modelling. We have identified that the residues TYR253, ASP254, GLU256, GLY265, ARG1014 and LY1060 are important in the formation of protein-protein complex formation. Future studies on these residues could throw light on the crucial structural features required for the formation of CRHR1-inhibitor complex and in studies that try to solve the structural complexities of CRHR1.

Genetic Polymorphism in Corticotropin-releasing Hormone Receptor Type-1 in Preeclamptic Korean Women

  • Lim, Ji-Hyae;Kim, Shin-Young;Park, So-Yeon;Kim, Do-Jin;Kim, Mi-Jin;Ahn, Hyun-Kyong;Han, Jung-Yeol;Kim, Moon-Young;Park, Hyun-Young;Lee, Kwang-Soo;Kim, Young-Ju;Ryu, Hyun-Mee
    • Journal of Genetic Medicine
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    • 제8권2호
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    • pp.113-118
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    • 2011
  • 목적: Corticotropin-releasing hormone receptor type 1(CRHR1)은 자간전증과 같은 비정상적인 태반의 기능을 가지는 산모에서 감소되어 나타나며, 그것의 발현이나 기능은 유전적으로 영향을 받는다. 이번 연구의 목표는 한국인에서 CRHR1 유전자 다형성인 c.33+8199C>T과 자간전증 사이의 연관성을 조사하는 것이었다. 대상 및 방법: CRHR1 유전자 다형성은 SNapShot kit와 ABI Prism3100 Genetic analyzer를 이용하여 203명의 자간전증 임산부와 211명의 정상 임산부에서 측정되었고, 유전자 다형성과 자간전증 위험도 사이의 연관성을 분석하였다. 결과: CRHR1 유전자 다형성의 유전자형과 대립유전자 빈도는 자간전증 임산부와 정상 임산부 사이에 다르지 않았다. 자간전증 발생 위험도는 분석된 유전자 다형성의 드문 대립 형질(C)을 지닌 이종접합 유전자형(TC)이나 동형접합 유전자형(CC)을 수반하는 그룹에서 증가되지 않았다. CRHR1 유전자의 동형접합 유전자형(CC)을 수반하는 그룹에서 중증 자간전증과 조기 자간전증과 같은 자간전증의 합병증 발병 위험에도 차이가 없었다. 결론: 이 연구는CRHR1 유전자 다형성인 c.33+8199C>T가 한국인 임신부의 자간전증 발생과 연관이 없음을 나타낸다.

3D-QSAR Studies of 8-Substituted-2-aryl-5-alkylaminoquinolines as Corticotropin-releasing Factor-1 Receptor Antagonists

  • Nagarajan, Santhosh Kumar;Madhavan, Thirumurthy
    • 통합자연과학논문집
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    • 제8권3호
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    • pp.176-183
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    • 2015
  • Corticotropin-releasing actor receptors (CRFRs) activates the hypothalamic pituitary adrenal axis, one of the 2 parts of the fight or flight response to stress. Increased CRH production has is associated with Alzheimer's disease and major depression and hypoglycemia. In this study, we report the important structural and chemical parameters for CRFR inhibitors using the derivatives of 8-substituted-2-aryl-5-alkylaminoquinolines. A 3D QSAR study, Comparative molecular field analysis (CoMFA) was performed. The best predictions were obtained for the best CoMFA model with a $q^2$ of 0.607 with 6 components and $r^2$ of 0.991. The statistical parameters from the generated CoMFA models indicated that the data are well fitted and have high predictive ability. The contour map resulted from the CoMFA models might be helpful in the future designing of novel and more potent CRFR derivatives.

Comparative Molecular Similarity Indices Analysis (CoMSIA) of 8-substituted-2-aryl-5-alkylaminoquinolines as Corticotropin-releasing factor-1 Receptor Antagonists

  • Nagarajan, Santhosh Kumar;Madhavan, Thirumurthy
    • 통합자연과학논문집
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    • 제9권4호
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    • pp.241-248
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    • 2016
  • Corticotropin-releasing factor receptors (CRFRs) activate the hypothalamic-pituitary-adrenal axis, which is an integral part of the fight or flight response to stress. Increase in CRH level is observed in Alzheimer's disease and major depression and hypoglycemia. Here, we report on the relevant physicochemical parameters required for the CRFR inhibitors. Comparative molecular similarity indices analysis (CoMSIA) was performed with the derivatives of 8-substituted-2-aryl-5-alkylaminoquinolinesas CRFR inhibitors. The best predictions were obtained for the best CoMSIA model with a $q^2$ of 0.576 with 6 components and $r^2$ of 0.977. The statistical parameters from the generated CoMSIA models indicated that the data are well fitted and have high predictive ability. CoMSIA contour maps could be useful in the designing of more potent and novel CRFR derivatives.