Comparison of two- and three-dimensional activity landscape representations for different compound data sets

被引:10
作者
Iyer, Preeti [1 ]
Wawer, Mathias [1 ]
Bajorath, Juergen [1 ]
机构
[1] Univ Bonn, LIMES Program Unit Chem Biol & Med Chem, B IT, Dept Life Sci Informat, D-53113 Bonn, Germany
关键词
ACTIVITY CLIFFS; MOLECULAR REPRESENTATIONS; INFORMATION; INDEX;
D O I
10.1039/c0md00188k
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Modeling of activity landscapes provides a basis for the analysis of structure-activity relationships (SARs) in large compound data sets. Activity landscape models enable visual access to SAR features. Regardless of their specific details, these models generally have in common that they integrate molecular similarity and potency relationships between active compounds. Different two-dimensional (2D) landscape representations have been introduced and recently also the first detailed three-dimensional (3D) model. Herein we compare advanced 2D and 3D activity landscape models for compound data sets having different SAR character. Although the compared 2D and 3D representations are conceptually distinct, it is found that global SAR features of compound data sets can be equally well deduced from them. However, local SAR information is often captured in different ways by these representations. Since these 2D and 3D landscape modeling tools have been made freely available, the analysis also provides guidelines for how to best utilize these alternative landscape representations for practical SAR analysis.
引用
收藏
页码:113 / 118
页数:6
相关论文
共 24 条
[1]  
[Anonymous], 2005, MACCS STRUCT KEYS
[2]  
[Anonymous], 1993, J AGR BIOL ENVIR ST
[3]   Molecular similarity searching using atom environments, information-based feature selection, and a naive Bayesian classifier [J].
Bender, A ;
Mussa, HY ;
Glen, RC ;
Reiling, S .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2004, 44 (01) :170-178
[4]  
Borg I., 2005, Modern multidimensional scaling: theory and applications
[5]  
Esposito Emilio Xavier, 2004, Methods Mol Biol, V275, P131
[6]   GRAPH DRAWING BY FORCE-DIRECTED PLACEMENT [J].
FRUCHTERMAN, TMJ ;
REINGOLD, EM .
SOFTWARE-PRACTICE & EXPERIENCE, 1991, 21 (11) :1129-1164
[7]   Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation [J].
Geppert, Hanna ;
Vogt, Martin ;
Bajorath, Juergen .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2010, 50 (02) :205-216
[8]   Structure-activity landscape index: Identifying and quantifying activity cliffs [J].
Guha, Rajarshi ;
Van Drie, John H. .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (03) :646-658
[9]   Three-Dimensional Pharmacophore Methods in Drug Discovery [J].
Leach, Andrew R. ;
Gillet, Valerie J. ;
Lewis, Richard A. ;
Taylor, Robin .
JOURNAL OF MEDICINAL CHEMISTRY, 2010, 53 (02) :539-558
[10]   SARANEA: A Freely Available Program To Mine Structure-Activity and Structure-Selectivity Relationship Information in Compound Data Sets [J].
Lounkine, Eugen ;
Wawer, Mathias ;
Wassermann, Anne Mai ;
Bajorath, Juergen .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2010, 50 (01) :68-78