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From Modeling to Medicinal Chemistry: Automatic Generation of Two‐Dimensional Complex Diagrams
Author(s) -
Stierand Katrin,
Rarey Matthias
Publication year - 2007
Publication title -
chemmedchem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.817
H-Index - 100
eISSN - 1860-7187
pISSN - 1860-7179
DOI - 10.1002/cmdc.200700010
Subject(s) - visualization , computer science , software , complex system , chemistry , computational science , data mining , artificial intelligence , programming language
As a result of the increasing application of structure‐based drug design, the visualization of protein–ligand complexes has become an important feature in medicinal chemistry. The large number of experimentally resolved complex structures and the further development of computer‐aided methods like docking or de novo design establishes new possibilities in this field. During lead finding and optimization, a manual investigation of many complexes and their interaction patterns is typically performed. We present an algorithm that automatically generates 2D‐protein–ligand diagrams as a possible solution for a transparent visualization of the contact partners in a complex and as a support for scientists in the evaluation of structure‐based design results. Running the software on representative test data sets, it generates collision free layouts for ∼76 % of the cases in the range of tenths of a second per complex. The success rate for complexes with ligands which have a molecular weight <500 Da is 87 %.