The development of similarity methods for fast flexible ligand superposition has recently received considerable attention. These efforts have brought similarity methods to a level of performance comparable to the well established protein-ligand docking methods for binding mode assessment and molecular database screening. However, the strengths and intrinsic limitations of both methodologies have been also stressed out extensively. As the number of resolved ligand-bound protein structures increases, combining ligand-based and receptor-based approaches emerges as a consensus strategy to maximally exploit the structural information available and improve the results obtained with either of the methods alone.
Description
Similarity versus docking in 3D virtual screening | SpringerLink
%0 Journal Article
%1 Mestres2000SimilarityVSDocking
%A Mestres, Jordi
%A Knegtel, Ronald M.A.
%D 2000
%J Perspectives in Drug Discovery and Design
%K VS drug-design ligand-docking ligand-similarity-scoring molecular-descriptors
%N 1
%P 191--207
%R 10.1023/A:1008789224614
%T Similarity versus docking in 3D virtual screening
%U http://dx.doi.org/10.1023/A:1008789224614
%V 20
%X The development of similarity methods for fast flexible ligand superposition has recently received considerable attention. These efforts have brought similarity methods to a level of performance comparable to the well established protein-ligand docking methods for binding mode assessment and molecular database screening. However, the strengths and intrinsic limitations of both methodologies have been also stressed out extensively. As the number of resolved ligand-bound protein structures increases, combining ligand-based and receptor-based approaches emerges as a consensus strategy to maximally exploit the structural information available and improve the results obtained with either of the methods alone.
@article{Mestres2000SimilarityVSDocking,
abstract = {The development of similarity methods for fast flexible ligand superposition has recently received considerable attention. These efforts have brought similarity methods to a level of performance comparable to the well established protein-ligand docking methods for binding mode assessment and molecular database screening. However, the strengths and intrinsic limitations of both methodologies have been also stressed out extensively. As the number of resolved ligand-bound protein structures increases, combining ligand-based and receptor-based approaches emerges as a consensus strategy to maximally exploit the structural information available and improve the results obtained with either of the methods alone.},
added-at = {2017-02-22T22:08:48.000+0100},
author = {Mestres, Jordi and Knegtel, Ronald M.A.},
biburl = {https://www.bibsonomy.org/bibtex/2990adb5d3d1cfae897b5ef80ef3f129a/salotz},
description = {Similarity versus docking in 3D virtual screening | SpringerLink},
doi = {10.1023/A:1008789224614},
interhash = {154c47a59af56e3fc53630ebb3aa3605},
intrahash = {990adb5d3d1cfae897b5ef80ef3f129a},
issn = {1573-9023},
journal = {Perspectives in Drug Discovery and Design},
keywords = {VS drug-design ligand-docking ligand-similarity-scoring molecular-descriptors},
number = 1,
pages = {191--207},
timestamp = {2017-02-22T22:09:19.000+0100},
title = {Similarity versus docking in 3D virtual screening},
url = {http://dx.doi.org/10.1023/A:1008789224614},
volume = 20,
year = 2000
}