<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(11)</volume><submitter>Sokol MB</submitter><pubmed_abstract>Currently, molecular dynamics simulation is being widely applied to predict drug-polymer interaction, and to optimize drug delivery systems. Our study describes a combination of in silico and in vitro approaches aimed at improvement in polymer-based nanoparticle design for cancer treatment. We applied the PASS service to predict the biological activity of novel carboplatin derivatives. Subsequent molecular dynamics simulations revealed the dependence between the drug-polymer binding energy along with encapsulation efficacy, drug release profile, and the derivatives' chemical structure. We applied ICP-MS analysis, the MTT test, and hemolytic activity assay to evaluate drug loading, antitumor activity, and hemocompatibility of the formulated nanoparticles. The drug encapsulation efficacy var</pubmed_abstract><journal>Pharmaceutics</journal><pagination>2333</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9698263</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Structural Optimization of Platinum Drugs to Improve the Drug-Loading and Antitumor Efficacy of PLGA Nanoparticles.</pubmed_title><pmcid>PMC9698263</pmcid><pubmed_authors>Sokol MB</pubmed_authors><pubmed_authors>Chirkina MV</pubmed_authors><pubmed_authors>Mollaeva MR</pubmed_authors><pubmed_authors>Podrugina TA</pubmed_authors><pubmed_authors>Yabbarov NG</pubmed_authors><pubmed_authors>Hathout RM</pubmed_authors><pubmed_authors>Pavlova AS</pubmed_authors><pubmed_authors>Temnov VV</pubmed_authors><pubmed_authors>Metwally AA</pubmed_authors><pubmed_authors>Nikolskaya ED</pubmed_authors></additional><is_claimable>false</is_claimable><name>Structural Optimization of Platinum Drugs to Improve the Drug-Loading and Antitumor Efficacy of PLGA Nanoparticles.</name><description>Currently, molecular dynamics simulation is being widely applied to predict drug-polymer interaction, and to optimize drug delivery systems. Our study describes a combination of in silico and in vitro approaches aimed at improvement in polymer-based nanoparticle design for cancer treatment. We applied the PASS service to predict the biological activity of novel carboplatin derivatives. Subsequent molecular dynamics simulations revealed the dependence between the drug-polymer binding energy along with encapsulation efficacy, drug release profile, and the derivatives' chemical structure. We applied ICP-MS analysis, the MTT test, and hemolytic activity assay to evaluate drug loading, antitumor activity, and hemocompatibility of the formulated nanoparticles. The drug encapsulation efficacy var</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2025-04-22T09:54:39.787Z</modification><creation>2025-04-05T23:15:29.559Z</creation></dates><accession>S-EPMC9698263</accession><cross_references><pubmed>36365151</pubmed><doi>10.3390/pharmaceutics14112333</doi></cross_references></HashMap>