AtlasCBS: Atlas of Chemico-Biological Space
|AtlasCBS. Real screen of the AtlasCBS on the line web application based at the EBI site in the UK. The application is now available as a module within the software StarDrop(TM) from Optibrium Ltd, UK (www.Optibrium.com).
A chapter in a book entitled 'Software and Techniques for Bio-Molecular Modeling' edited by Dr. Azat Mukhametov and published by the Austin Publishing Group. This book is an interesting new addition to the references of techniques, concepts and software in molecular modeling for drug discovery. Chapter 2 describes the lates developments on the AtlasCBS concept, in particular the use of KNIME workflows to produce atlas-like plots and planes using simple KNIME modules.
The entire text of the book, courtesy of the Austin Publishing Group can be found HERE or by clicking the cover image. (PDF 10mb)
AtlasCBS is a novel concept to guide the drug discovery process.
The idea and the mathematical background were published in 2010
The algebraic framework is based on two complementary ligand efficiency
indices (LEIs): BEI-like based on affinity per size, and SEI-like based
on polarity. These two variables are plotted in a Cartesian plane
This simple change in variables permits to examine at a
glance the combination of three variables, namely, affinity, size and
polarity and assess the efficiency of the compounds towards their target.
Examples and further details are given in a recently published paper:
Cortes-Cabrera, A., Morreale, A., Gago, F. and C. Abad-Zapatero. AtlasCBS: a web server to map and explore chemico-biological space. J. Comp. Aided Mol. Design. 2012. DOI 10.1007/s10822-012-9587-5.
Recently published book: See Flyer 'Ligand Efficiency Indices for Drug Discovery:
Towards and Atlas-Guided Paradigm'
The application is at:
AtlasCBS EBI user site:
The AtlasCBS framework has now been incorporated into the software package StarDrop™ (www.Optibrium.com).
An upcoming article in Future Medicinal Chemistry will discuss the inclusion of the AtlasCBS framework and the Ligand Efficiency Variables (LEIs) within the context of ‘alternative variables in drug discovery’. It is my belief that the best way proceed is within the framework of Multiple Parameter Optimization (MPO). The article is entitled ‘Alternative variables in drug discovery: promises and challenges’. The co-authors are Edmund Champness and Matthew Segall of Optibrium, Ltd.
Abad-Zapatero C, Champness EJ & Segall M. Alternative variables in drug discovery: promises and challenges. Future Med. Chem. 6(5), 577-593.
My colleagues (A. Cortes-Cabrera, A. Morreale, F. Gago) and I
encourage you to use the application and send us your comments
and suggestions about problems that you might encounter and ideas
for further improvements.
We look forward to hearing from you.
Thank you so much,