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3D-QSAR studies on the inhibitors of AP-1 and NF-kappaB mediated transcriptional activation.
Eur J Med Chem. 2009 Jul; 44(7):2888-95.EJ

Abstract

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of 68 inhibitors of AP-1 and NF-kappaB mediated transcriptional activations. The CoMFA model produced statistically significant results with the cross-validated q(2) of 0.594 and the conventional correlation coefficient r(2) of 0.968. The best CoMSIA model was obtained by the combination use of steric, electrostatic, hydrogen-bond donor and acceptor fields. The corresponding q(2) and r(2) of CoMSIA model were 0.703 and 0.932, respectively. From the cross-validated results, it can be seen that the CoMSIA model has a better predictive ability than CoMFA model due to the importance of the hydrogen bonds for the activity of these inhibitors. The predictive abilities of the two models were further validated by a test set of 15 compounds. The models gave predicted correlation coefficient r(pred)(2) of 0.891 for CoMFA model and 0.810 for CoMSIA model. Based on the above results, we identified the key structural features that may help to design potent inhibitors with improved activities: (1) the NH linker at the position R(4) acts as important hydrogen-bond donor and any group on phenyl or 2-thienyl ring of R(1) substituent decreases inhibitory activity, (2)further structural modification of compound 50 on the phenyl ring of the quinazoline ring considering steric, electrostatic and hydrogen-bond acceptor properties will influence the inhibitory activity.

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Authors+Show Affiliations

Qin J
Department of Chemistry, Lanzhou University, Lanzhou, China.
Liu H
No affiliation info available
Li J
No affiliation info available
Ren Y
No affiliation info available
Yao X
No affiliation info available
Liu M
No affiliation info available

MeSH

Drug StabilityModels, MolecularMolecular ConformationNF-kappa BQuantitative Structure-Activity RelationshipTranscription Factor AP-1Transcriptional Activation

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19128859

Citation

Qin, Jin, et al. "3D-QSAR Studies On the Inhibitors of AP-1 and NF-kappaB Mediated Transcriptional Activation." European Journal of Medicinal Chemistry, vol. 44, no. 7, 2009, pp. 2888-95.
Qin J, Liu H, Li J, et al. 3D-QSAR studies on the inhibitors of AP-1 and NF-kappaB mediated transcriptional activation. Eur J Med Chem. 2009;44(7):2888-95.
Qin, J., Liu, H., Li, J., Ren, Y., Yao, X., & Liu, M. (2009). 3D-QSAR studies on the inhibitors of AP-1 and NF-kappaB mediated transcriptional activation. European Journal of Medicinal Chemistry, 44(7), 2888-95. https://doi.org/10.1016/j.ejmech.2008.12.006
Qin J, et al. 3D-QSAR Studies On the Inhibitors of AP-1 and NF-kappaB Mediated Transcriptional Activation. Eur J Med Chem. 2009;44(7):2888-95. PubMed PMID: 19128859.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 3D-QSAR studies on the inhibitors of AP-1 and NF-kappaB mediated transcriptional activation. AU - Qin,Jin, AU - Liu,Huanxiang, AU - Li,Jiazhong, AU - Ren,Yueying, AU - Yao,Xiaojun, AU - Liu,Mancang, Y1 - 2008/12/16/ PY - 2008/01/26/received PY - 2008/12/04/revised PY - 2008/12/08/accepted PY - 2009/1/9/entrez PY - 2009/1/9/pubmed PY - 2009/7/25/medline SP - 2888 EP - 95 JF - European journal of medicinal chemistry JO - Eur J Med Chem VL - 44 IS - 7 N2 - Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of 68 inhibitors of AP-1 and NF-kappaB mediated transcriptional activations. The CoMFA model produced statistically significant results with the cross-validated q(2) of 0.594 and the conventional correlation coefficient r(2) of 0.968. The best CoMSIA model was obtained by the combination use of steric, electrostatic, hydrogen-bond donor and acceptor fields. The corresponding q(2) and r(2) of CoMSIA model were 0.703 and 0.932, respectively. From the cross-validated results, it can be seen that the CoMSIA model has a better predictive ability than CoMFA model due to the importance of the hydrogen bonds for the activity of these inhibitors. The predictive abilities of the two models were further validated by a test set of 15 compounds. The models gave predicted correlation coefficient r(pred)(2) of 0.891 for CoMFA model and 0.810 for CoMSIA model. Based on the above results, we identified the key structural features that may help to design potent inhibitors with improved activities: (1) the NH linker at the position R(4) acts as important hydrogen-bond donor and any group on phenyl or 2-thienyl ring of R(1) substituent decreases inhibitory activity, (2)further structural modification of compound 50 on the phenyl ring of the quinazoline ring considering steric, electrostatic and hydrogen-bond acceptor properties will influence the inhibitory activity. SN - 1768-3254 UR - https://www.unboundmedicine.com/medline/citation/19128859/3D_QSAR_studies_on_the_inhibitors_of_AP_1_and_NF_kappaB_mediated_transcriptional_activation_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0223-5234(08)00594-1 DB - PRIME DP - Unbound Medicine ER -