EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities

被引:17
作者
Hsin, Kun-Yi [1 ]
Morgan, Hugh P. [1 ]
Shave, Steven R. [1 ]
Hinton, Andrew C. [1 ]
Taylor, Paul [1 ]
Walkinshaw, Malcolm D. [1 ]
机构
[1] Univ Edinburgh, Ctr Translat & Chem Biol, Edinburgh, Midlothian, Scotland
基金
英国惠康基金;
关键词
DRUG DISCOVERY; BINDING AFFINITIES; PYRUVATE-KINASE; DESIGN; DESCRIPTORS; LIGANDS; TOOL;
D O I
10.1093/nar/gkq878
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
We present the relational database EDULISS (EDinburgh University Ligand Selection System), which stores structural, physicochemical and pharmacophoric properties of small molecules. The database comprises a collection of over 4 million commercially available compounds from 28 different suppliers. A user-friendly web-based interface for EDULISS (available at (http://eduliss.bch.ed.ac.uk/) has been established providing a number of data-mining possibilities. For each compound a single 3D conformer is stored along with over 1600 calculated descriptor values (molecular properties). A very efficient method for unique compound recognition, especially for a large scale database, is demonstrated by making use of small subgroups of the descriptors. Many of the shape and distance descriptors are held as pre-calculated bit strings permitting fast and efficient similarity and pharmacophore searches which can be used to identify families of related compounds for biological testing. Two ligand searching applications are given to demonstrate how EDULISS can be used to extract families of molecules with selected structural and biophysical features.
引用
收藏
页码:D1042 / D1048
页数:7
相关论文
共 28 条
[1]
The process of structure-based drug design [J].
Anderson, AC .
CHEMISTRY & BIOLOGY, 2003, 10 (09) :787-797
[2]
Ballester PJ, 2007, J COMPUT CHEM, V28, P1711, DOI [10.1002/jcc.20681, 10.1002/JCC.20681]
[3]
Unsupervised data base clustering based on Daylight's fingerprint and Tanimoto similarity: A fast and automated way to cluster small and large data sets [J].
Butina, D .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1999, 39 (04) :747-750
[4]
ChemDB update - full-text search and virtual chemical space [J].
Chen, Jonathan H. ;
Linstead, Erik ;
Swamidass, S. Joshua ;
Wang, Dennis ;
Baldi, Pierre .
BIOINFORMATICS, 2007, 23 (17) :2348-2351
[5]
Application of the PharmPrint methodology to two protein kinases [J].
Deanda, F ;
Stewart, EL .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2004, 44 (05) :1803-1809
[6]
A web-based 3D-database pharmacophore searching tool for drug discovery [J].
Fang, XL ;
Wang, SM .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2002, 42 (02) :192-198
[7]
The NCBI BioSystems database [J].
Geer, Lewis Y. ;
Marchler-Bauer, Aron ;
Geer, Renata C. ;
Han, Lianyi ;
He, Jane ;
He, Siqian ;
Liu, Chunlei ;
Shi, Wenyao ;
Bryant, Stephen H. .
NUCLEIC ACIDS RESEARCH, 2010, 38 :D492-D496
[8]
Structure-based virtual screening of chemical libraries for drug discovery [J].
Ghosh, Sutapa ;
Nie, Aihua ;
An, Jing ;
Huang, Ziwei .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2006, 10 (03) :194-202
[9]
Pursuing the leadlikeness concept in pharmaceutical research [J].
Hann, MM ;
Oprea, TI .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2004, 8 (03) :255-263
[10]
Fragment-based lead discovery using X-ray crystallography [J].
Hartshorn, MJ ;
Murray, CW ;
Cleasby, A ;
Frederickson, M ;
Tickle, IJ ;
Jhoti, H .
JOURNAL OF MEDICINAL CHEMISTRY, 2005, 48 (02) :403-413