earticle

논문검색

3D-QSAR Studies of 3,5-disubstituted Quinolines Inhibitors of c-Jun N-terminal Kinase-3

원문정보

초록

영어

c-Jun N-terminal kinase-3 (JNK-3) has been shown to mediate neuronal apoptosis and make the promising therapeutic target for neurodegenerative diseases such as Parkinson's disease, Alzheimer's disease, and other CNS disorders. In order to better understand the structural and chemical features of JNK-3, comparative molecular field analysis (CoMFA) was performed on a series of 3,5-disubstituted quinolines derivatives. The best predictions were obtained CoMFA model (q2=0.707, r2=0.972) and the statistical parameters from the generated 3D-QSAR models were indicated that the data are well fitted and have high predictive ability. The resulting contour map from 3D-QSAR models might be helpful to design novel and more potent JNK3 derivatives.

목차

Abstract
 1. Introduction
 2. Computational Methods
  2.1. Inhibitor Data Set
  2.2. Ligand-based Alignment Method
  2.3. Generation of CoMFA and CoMSIA Field
  2.4. Partial Least Square (PLS) Analysis
 3. Results and Discussion
  3.1. CoMFA Analysis
  3.2. CoMFA Contour Map
 4. Conclusion
 References

키워드

저자정보

  • Thirumurthy Madhavan Centre for Bioinformatics, Department of Biochemistry, School of Life sciences, University of Madras

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.