Schneider Journal of Cheminformatics 2014, 6(Suppl 1):O11 http://www.jcheminf.com/content/6/S1/O11
ORAL PRESENTATION
Open Access
Go with the flow and accessorize your drugs Gisbert Schneider From 9th German Conference on Chemoinformatics Fulda, Germany. 10-12 November 2013
The fast pace of drug discovery programs is supported by high-throughput screening campaigns to identify new chemical entities, where the underlying screening compound collections benefit from combinatorial libraries with lead- and drug-like properties. We will discuss recent developments in this field from two perspectives by addressing how to (i) assemble focused combinatorial libraries with desired properties (search problem), and (ii) identify targets for the designed compounds and, vice versa, compounds with desired target activities (scoring problem). Developments from our laboratory will be highlighted, specifically the MAntA (Molecular Ant Algorithm) approach for molecular building block prioritization, the target prediction method SPiDER (SOM-based Prediction of Drug Equivalence Relationships), and a quantitative Gaussian process model covering several hundred macromolecular targets for compound scoring. Using these algorithms we successfully generated activity-focused combinatorial small molecule and peptide libraries, de-orphaned de novo designed molecules, and correctly predicted off-target liabilities of known drugs. Selected examples of these practical applications will be presented, including an integrative application of combinatorial design, microfluidics-assisted synthesis, and activity testing. Published: 11 March 2014
Publish with ChemistryCentral and every scientist can read your work free of charge
doi:10.1186/1758-2946-6-S1-O11 Cite this article as: Schneider: Go with the flow and accessorize your drugs. Journal of Cheminformatics 2014 6(Suppl 1):O11.
Open access provides opportunities to our colleagues in other parts of the globe, by allowing anyone to view the content free of charge. W. Jeffery Hurst, The Hershey Company.
Correspondence: [email protected] Department of Chemistry and Applied Biosciences, Eidgenössische Technische Hochschule (ETH), Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland
available free of charge to the entire scientific community peer reviewed and published immediately upon acceptance cited in PubMed and archived on PubMed Central yours you keep the copyright Submit your manuscript here: http://www.chemistrycentral.com/manuscript/
© 2014 Schneider; licensee Chemistry Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
ORAL PRESENTATION
Open Access
Go with the flow and accessorize your drugs Gisbert Schneider From 9th German Conference on Chemoinformatics Fulda, Germany. 10-12 November 2013
The fast pace of drug discovery programs is supported by high-throughput screening campaigns to identify new chemical entities, where the underlying screening compound collections benefit from combinatorial libraries with lead- and drug-like properties. We will discuss recent developments in this field from two perspectives by addressing how to (i) assemble focused combinatorial libraries with desired properties (search problem), and (ii) identify targets for the designed compounds and, vice versa, compounds with desired target activities (scoring problem). Developments from our laboratory will be highlighted, specifically the MAntA (Molecular Ant Algorithm) approach for molecular building block prioritization, the target prediction method SPiDER (SOM-based Prediction of Drug Equivalence Relationships), and a quantitative Gaussian process model covering several hundred macromolecular targets for compound scoring. Using these algorithms we successfully generated activity-focused combinatorial small molecule and peptide libraries, de-orphaned de novo designed molecules, and correctly predicted off-target liabilities of known drugs. Selected examples of these practical applications will be presented, including an integrative application of combinatorial design, microfluidics-assisted synthesis, and activity testing. Published: 11 March 2014
Publish with ChemistryCentral and every scientist can read your work free of charge
doi:10.1186/1758-2946-6-S1-O11 Cite this article as: Schneider: Go with the flow and accessorize your drugs. Journal of Cheminformatics 2014 6(Suppl 1):O11.
Open access provides opportunities to our colleagues in other parts of the globe, by allowing anyone to view the content free of charge. W. Jeffery Hurst, The Hershey Company.
Correspondence: [email protected] Department of Chemistry and Applied Biosciences, Eidgenössische Technische Hochschule (ETH), Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland
available free of charge to the entire scientific community peer reviewed and published immediately upon acceptance cited in PubMed and archived on PubMed Central yours you keep the copyright Submit your manuscript here: http://www.chemistrycentral.com/manuscript/
© 2014 Schneider; licensee Chemistry Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
