Literature DB >> 11689065

Modeling of poly(ADP-ribose)polymerase (PARP) inhibitors. Docking of ligands and quantitative structure-activity relationship analysis.

G Costantino1, A Macchiarulo, E Camaioni, R Pellicciari.   

Abstract

Poly(ADP-ribose)polymerase-1 (PARP-1) is a nuclear enzyme that has recently emerged as an important player in the mechanisms leading to postischemic neuronal death, and PARP inhibitors have been proposed as potential neuroprotective agents. With the aim of clarifying the structural basis responsible for PARP inhibition, we carried out a computational study on 46 inhibitors available through the literature. Our computational approach is composed of three parts. In the first one, representative PARP inhibitors have been docked into the crystallographic structure of the catalytic domain of PARP by using the Autodock 2.4 program. The docking studies thus carried out have provided an alignment scheme that has been instrumental for superimposing all the remaining inhibitors. Upon the basis of this alignment scheme, a quantitative structure-activity relationship (QSAR) analysis has been carried out after electrostatic and steric interaction energies have been computed with the RECEPTOR program. The QSAR analysis yielded a predictive model able to explain much of the variance of the 46-compound data set. The inspection of the QSAR coefficients revealed that the major driving force for potent inhibition is given by the extension of the contact surface between enzyme and inhibitors while electrostatic energy and hydrogen bonding capability play a minor role. Finally, the projection of the QSAR coefficients back onto the X-ray structure of the catalytic domain of PARP provides insights into the role played by specific amino acid residues. This information will be useful to address the design of new selective and potent PARP inhibitors.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11689065     DOI: 10.1021/jm010116l

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  11 in total

1.  Structure-based prediction of free energy changes of binding of PTP1B inhibitors.

Authors:  Jing Wang; Shek Ling Chan; Kal Ramnarayan
Journal:  J Comput Aided Mol Des       Date:  2003-08       Impact factor: 3.686

2.  Development of biologically active compounds by combining 3D QSAR and structure-based design methods.

Authors:  Wolfgang Sippl
Journal:  J Comput Aided Mol Des       Date:  2002-11       Impact factor: 3.686

3.  Validation tools for variable subset regression.

Authors:  Knut Baumann; Nikolaus Stiefl
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

4.  The 1.8 Å cholix toxin crystal structure in complex with NAD+ and evidence for a new kinetic model.

Authors:  Robert J Fieldhouse; René Jørgensen; Miguel R Lugo; A Rod Merrill
Journal:  J Biol Chem       Date:  2012-04-25       Impact factor: 5.157

5.  A monofunctional platinum complex coordinated to a rhodium metalloinsertor selectively binds mismatched DNA in the minor groove.

Authors:  Alyson G Weidmann; Jacqueline K Barton
Journal:  Inorg Chem       Date:  2015-09-23       Impact factor: 5.165

6.  Selective cytotoxicity of rhodium metalloinsertors in mismatch repair-deficient cells.

Authors:  Russell J Ernst; Alexis C Komor; Jacqueline K Barton
Journal:  Biochemistry       Date:  2011-11-21       Impact factor: 3.162

7.  Developing novel approaches to improve binding energy estimation and virtual screening: a PARP case study.

Authors:  Fedor N Novikov; Viktor S Stroylov; Oleg V Stroganov; Val Kulkov; Ghermes G Chilov
Journal:  J Mol Model       Date:  2009-04-16       Impact factor: 1.810

8.  Rapamycin-resistant poly (ADP-ribose) polymerase-1 overexpression is a potential therapeutic target in lymphangioleiomyomatosis.

Authors:  Yang Sun; Dana Gallacchi; Erik Y Zhang; Samuel B Reynolds; Lauren Robinson; Izabela A Malinowska; Terry T Chiou; Ana M Pereira; Chenggang Li; David J Kwiatkowski; Po-Shun Lee; Jane J Yu
Journal:  Am J Respir Cell Mol Biol       Date:  2014-12       Impact factor: 6.914

9.  2D and 3D similarity landscape analysis identifies PARP as a novel off-target for the drug Vatalanib.

Authors:  Bjoern-Oliver Gohlke; Tim Overkamp; Anja Richter; Antje Richter; Peter T Daniel; Bernd Gillissen; Robert Preissner
Journal:  BMC Bioinformatics       Date:  2015-09-24       Impact factor: 3.169

10.  Construction and application of a Rh-Pt DNA metalloinsertor conjugate.

Authors:  Alyson G Weidmann; Jacqueline K Barton
Journal:  Inorg Chem       Date:  2014-07-17       Impact factor: 5.165

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.