Paper Info
Title
Using Novel Descriptor Accounting for Ligand-Receptor Interactions To Define and Visually Explore Biologically Relevant Chemical Space.
Abstract
The definition and pragmatic implementation of biologically relevant chemical space is critical in addressing navigation strategies in the overlapping regions where chemistry and therapeutically relevant targets reside and, therefore, also key to performing an efficient drug discovery project. Here, we describe the development and implementation of a simple and robust method for representing biologically relevant chemical space as a general reference according to current knowledge, independently of any reference space, and analyzing chemical structures accordingly. Underlying our method is the generation of a novel descriptor (LiRlf) that converts structural information into a one-dimensional string accounting for the plausible ligand receptor interactions as well as for topological information. Capitalizing on ligand receptor interactions as a descriptor enables the clustering, profiling, and comparison of libraries of compounds from a chemical biology and medicinal chemistry perspective. In addition, as a case study, R-groups analysis is performed to identify the most populated ligand receptor interactions according to different target families (GPCR, kinases, etc.), as well as to evaluate the coverage of biologically relevant chemical space by structures annotated in different databases (ChEMBL, Glida, etc.).
Year
DOI
Venue
2012
10.1021/ci200627v
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Field
DocType
Volume
Accounting,Drug discovery,Topological information,Profiling (computer programming),Chemical biology,Chemistry,Chemical space,Bioinformatics,Cluster analysis
Journal
52
Issue
ISSN
Citations 
5
1549-9596
1
PageRank 
References 
Authors
0.41
17
2
Name
Order
Citations
PageRank
Obdulia Rabal11628.61
Julen Oyarzabal2604.85