{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gubskaya AV"],"funding":["NIBIB NIH HHS"],"pagination":["275-285"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4316747"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(4)"],"pubmed_abstract":["To date semi-empirical or surrogate modeling has demonstrated great success in the prediction of the biologically relevant properties of polymeric materials. For the first time, a correlation between the chemical structures of poly(β-amino esters) and their efficiency in transfecting DNA was established using the novel technique of logical analysis of data (LAD). Linear combination and explicit representation models were introduced and compared in the framework of the present study. The most successful regression model yielded satisfactory agreement between the predicted and experimentally measured values of transfection efficiency (Pearson correlation coefficient, 0.77; mean absolute error, 3.83). It was shown that detailed analysis of the rules provided by the LAD algorithm offered pract"],"journal":["Macromolecular theory and simulations"],"pubmed_title":["Logical Analysis of Data in Structure-Activity Investigation of Polymeric Gene Delivery."],"pmcid":["PMC4316747"],"funding_grant_id":["R37 EB000244","P41 EB001046","R01 EB000244"],"pubmed_authors":["Kholodovych V","Gubskaya AV","Bonates TO","Hammer P","Langer R","Welsh WJ","Kohn J"],"additional_accession":[]},"is_claimable":false,"name":"Logical Analysis of Data in Structure-Activity Investigation of Polymeric Gene Delivery.","description":"To date semi-empirical or surrogate modeling has demonstrated great success in the prediction of the biologically relevant properties of polymeric materials. For the first time, a correlation between the chemical structures of poly(β-amino esters) and their efficiency in transfecting DNA was established using the novel technique of logical analysis of data (LAD). Linear combination and explicit representation models were introduced and compared in the framework of the present study. The most successful regression model yielded satisfactory agreement between the predicted and experimentally measured values of transfection efficiency (Pearson correlation coefficient, 0.77; mean absolute error, 3.83). It was shown that detailed analysis of the rules provided by the LAD algorithm offered pract","dates":{"release":"2011-01-01T00:00:00Z","publication":"2011 May","modification":"2025-05-29T21:06:41.152Z","creation":"2025-05-29T21:06:41.152Z"},"accession":"S-EPMC4316747","cross_references":{"pubmed":["25663794"],"doi":["10.1002/mats.201000087"]}}