Literature DB >> 20726601

Molecular interaction fields and 3D-QSAR studies of p53-MDM2 inhibitors suggest additional features of ligand-target interaction.

Cristina Dezi1, Andrea Carotti, Matteo Magnani, Massimo Baroni, Alessandro Padova, Gabriele Cruciani, Antonio Macchiarulo, Roberto Pellicciari.   

Abstract

The design and optimization of small molecule inhibitors of the murine double minute clone 2-p53 (p53-MDM2) interaction has attracted a great deal of interest as a way to novel anticancer therapies. Herein we report 3D-QSAR studies of 41 small molecule inhibitors based on the use of molecular interaction fields and docking experiments as part of an approach to generating predictive models of MDM2 affinity and shedding further light on the structural elements of the ligand-target interaction. These studies have yielded predictive models explaining much of the variance of the 41 compound training set and satisfactorily predicting with 75% success an external test set of 36 compounds. Not surprisingly, and in full agreement with previous data, inspection of the 3D-QSAR coefficients reveals that the major driving force for potent inhibition is given by the hydrophobic interaction between the inhibitors and the p53 binding cleft of MDM2. More surprisingly, and challenging previous suggestions, the projection of the 3D-QSAR coefficients back onto the experimental structures of MDM2 provides an intriguing hypothesis concerning an active role played by the N-terminal region of MDM2 in ligand binding.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20726601     DOI: 10.1021/ci100113p

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  Computational studies of difference in binding modes of peptide and non-peptide inhibitors to MDM2/MDMX based on molecular dynamics simulations.

Authors:  Jianzhong Chen; Dinglin Zhang; Yuxin Zhang; Guohui Li
Journal:  Int J Mol Sci       Date:  2012-02-17       Impact factor: 6.208

2.  Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists.

Authors:  Yujie Dai; Nan Chen; Qiang Wang; Heng Zheng; Xiuli Zhang; Shiru Jia; Lilong Dong; Dacheng Feng
Journal:  Iran J Pharm Res       Date:  2012       Impact factor: 1.696

3.  An Application of Fit Quality to Screen MDM2/p53 Protein-Protein Interaction Inhibitors.

Authors:  Xin Xue; Gang Bao; Hai-Qing Zhang; Ning-Yi Zhao; Yuan Sun; Yue Zhang; Xiao-Long Wang
Journal:  Molecules       Date:  2018-12-01       Impact factor: 4.411

4.  Application of In Silico Filtering and Isothermal Titration Calorimetry for the Discovery of Small Molecule Inhibitors of MDM2.

Authors:  Hen Alali; Itai Bloch; Irena Rapaport; Luisa Rodrigues; Inbal Sher; Tamar Ansbacher; Maayan Gal
Journal:  Pharmaceuticals (Basel)       Date:  2022-06-16

5.  HADDOCK(2P2I): a biophysical model for predicting the binding affinity of protein-protein interaction inhibitors.

Authors:  Panagiotis L Kastritis; João P G L M Rodrigues; Alexandre M J J Bonvin
Journal:  J Chem Inf Model       Date:  2014-02-27       Impact factor: 4.956

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.