Literature DB >> 15616834

CoMFA, HQSAR and molecular docking studies of butitaxel analogues with beta-tubulin.

Suzanne L Cunningham1, Albert R Cunningham, Billy W Day.   

Abstract

Results from biochemical analyses for a series of 20 butitaxel analogues, paclitaxel and docetaxel were used to build two- and three-dimensional quantitative structure-activity relationship (QSAR) models in order to investigate the properties associated with microtubule assembly and stabilization. A comparative molecular field analysis (CoMFA) model was built using steric and electrostatic fields. The CoMFA model yielded an r2 of 0.943 and a cross-validated r2 (i.e. q2) of 0.376. Hologram quantitative structure-activity relationship (HQSAR) modeling of these same data generated an r2 of 0.919 and a q2 of 0.471. Contour maps used to visualize the steric and electrostatic contributions associated with activity or lack thereof were, as expected, localized to the varied position of the taxane system. Each analogue was docked successfully into a model of beta-tubulin derived from previously determined cryoelectron microscopy analyses of the tubulin alpha/beta heterodimer. All analogues superimposed well with paclitaxel bound to the protein, as well as with each other. Defining the variable region of each structure as the ligand and docking it separately into the paclitaxel site revealed a modest correlation (r2 = 0.53) between activity and docking energy of all the compounds in the dataset. When only the butitaxel derivatives were considered, the correlation increased to 0.61. The mathematical models derived here provide information for the future development of taxanes.

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Year:  2004        PMID: 15616834     DOI: 10.1007/s00894-004-0220-y

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  12 in total

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Journal:  Biochemistry       Date:  2001-07-10       Impact factor: 3.162

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Journal:  Nature       Date:  1998-01-08       Impact factor: 49.962

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Journal:  Annu Rev Cell Dev Biol       Date:  1997       Impact factor: 13.827

Review 6.  Chemotherapy of metastatic breast cancer: what to expect in 2001 and beyond.

Authors:  F J Esteva; V Valero; L Pusztai; L Boehnke-Michaud; A U Buzdar; G N Hortobagyi
Journal:  Oncologist       Date:  2001

7.  Structure-activity relationships of the antimalarial agent artemisinin. 6. The development of predictive in vitro potency models using CoMFA and HQSAR methodologies.

Authors:  Mitchell A Avery; Maria Alvim-Gaston; Carlos R Rodrigues; Eliezer J Barreiro; Fred E Cohen; Yogesh A Sabnis; John R Woolfrey
Journal:  J Med Chem       Date:  2002-01-17       Impact factor: 7.446

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Authors:  S M Ali; M Z Hoemann; J Aubé; G I Georg; L A Mitscher; L R Jayasinghe
Journal:  J Med Chem       Date:  1997-01-17       Impact factor: 7.446

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Journal:  J Med Chem       Date:  2001-05-10       Impact factor: 7.446

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Authors:  I Ojima; J C Slater; E Michaud; S D Kuduk; P Y Bounaud; P Vrignaud; M C Bissery; J M Veith; P Pera; R J Bernacki
Journal:  J Med Chem       Date:  1996-09-27       Impact factor: 7.446

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  4 in total

1.  Effect of steric molecular field settings on CoMFA predictivity.

Authors:  Ruchi R Mittal; Ross A McKinnon; Michael J Sorich
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

Review 2.  Fragment-based QSAR: perspectives in drug design.

Authors:  Lívia B Salum; Adriano D Andricopulo
Journal:  Mol Divers       Date:  2009-01-31       Impact factor: 2.943

3.  Exploration of the binding mode between (-)-zampanolide and tubulin using docking and molecular dynamics simulation.

Authors:  Si-Yan Liao; Guang-Quan Mo; Jin-Can Chen; Kang-Cheng Zheng
Journal:  J Mol Model       Date:  2014-01-29       Impact factor: 1.810

4.  Structural modification of 4, 5-dihydro-[1, 2, 4] triazolo [4, 3-f] pteridine derivatives as BRD4 inhibitors using 2D/3D-QSAR and molecular docking analysis.

Authors:  Jian-Bo Tong; Ding Luo; Yi Feng; Shuai Bian; Xing Zhang; Tian-Hao Wang
Journal:  Mol Divers       Date:  2021-01-03       Impact factor: 2.943

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