z-logo
Premium
A Novel Generalized 3D‐QSAR Model of Camptothecin Analogs
Author(s) -
Bacilieri Magdalena,
Paoletta Silvia,
Basili Serena,
Fanton Marco,
Moro Stefano
Publication year - 2011
Publication title -
molecular informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201100060
Subject(s) - quantitative structure–activity relationship , camptothecin , chemistry , conformational isomerism , topoisomerase , stereochemistry , docking (animal) , computational biology , computational chemistry , biological system , molecule , dna , biology , biochemistry , organic chemistry , medicine , nursing
In the present paper, we are interested to explore if the application of docking‐driven conformational analysis could increase the goodness of 3D‐QSAR statistical models, as alternative approach to a conventional ligand‐based conformer generation. In particular, we have selected as peculiar key‐study an ensemble of Camptothecin (CPT) analogs classified as human DNA Topoisomerase I (Top1) selective inhibitors. The CPT analogs dataset has been recently analyzed by Hansch and Verma using a classical 2D‐QSAR study.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom