Clustering and rule-based classifications of chemical structures evaluated in the biological activity space. Export

@article{Schuffenhauer2007, abstract = {Classification methods for data sets of molecules according to their chemical structure were evaluated for their biological relevance, including rule-based, scaffold-oriented classification methods and clustering based on molecular descriptors. Three data sets resulting from uniformly determined in vitro biological profiling experiments were classified according to their chemical structures, and the results were compared in a Pareto analysis with the number of classes and their average spread in the profile space as two concurrent objectives which were to be minimized. It has been found that no classification method is overall superior to all other studied methods, but there is a general trend that rule-based, scaffold-oriented methods are the better choice if classes with homogeneous biological activity are required, but a large number of clusters can be tolerated. On the other hand, clustering based on chemical fingerprints is superior if fewer and larger classes are required, and some loss of homogeneity in biological activity can be accepted.}, author = {Schuffenhauer, Ansgar and Brown, Nathan and Ertl, Peter and Jenkins, Jeremy L. and Selzer, Paul and Hamon, Jacques}, citeulike-article-id = {4411065}, citeulike-linkout-0 = {http://dx.doi.org/10.1021/ci6004004}, citeulike-linkout-1 = {http://pubs.acs.org/doi/abs/10.1021/ci6004004}, doi = {10.1021/ci6004004}, institution = {Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland. ansgar.schuffenhauer@novartis.com}, journal = {J Chem Inf Model}, keywords = {analysis, bibtex, biology, chemical, cluster, computational, databases, genetic, models, molecular, pharmaceutical, preparations, relationship, structure, structure-activity}, number = {2}, pages = {325--336}, posted-at = {2009-04-27 14:53:13}, priority = {0}, title = {Clustering and rule-based classifications of chemical structures evaluated in the biological activity space.}, url = {http://dx.doi.org/10.1021/ci6004004}, volume = {47}, year = {2007} }

TY - JOUR ID - Schuffenhauer2007 L3 - citeulike-article-id:4411065 N2 - Classification methods for data sets of molecules according to their chemical structure were evaluated for their biological relevance, including rule-based, scaffold-oriented classification methods and clustering based on molecular descriptors. Three data sets resulting from uniformly determined in vitro biological profiling experiments were classified according to their chemical structures, and the results were compared in a Pareto analysis with the number of classes and their average spread in the profile space as two concurrent objectives which were to be minimized. It has been found that no classification method is overall superior to all other studied methods, but there is a general trend that rule-based, scaffold-oriented methods are the better choice if classes with homogeneous biological activity are required, but a large number of clusters can be tolerated. On the other hand, clustering based on chemical fingerprints is superior if fewer and larger classes are required, and some loss of homogeneity in biological activity can be accepted. IS - 2 JF - J Chem Inf Model EP - 336 TI - Clustering and rule-based classifications of chemical structures evaluated in the biological activity space. VL - 47 SP - 325 KW - analysis KW - bibtex KW - biology KW - chemical KW - cluster KW - computational KW - databases KW - genetic KW - models KW - molecular KW - pharmaceutical KW - preparations KW - relationship KW - structure KW - structure-activity AU - Schuffenhauer, Ansgar AU - Brown, Nathan AU - Ertl, Peter AU - Jenkins, Jeremy AU - Selzer, Paul AU - Hamon, Jacques PY - 2007/// UR - http://dx.doi.org/10.1021/ci6004004 ER -