@inproceedings{scholars2548,
           pages = {75--80},
         address = {Kuala Lumpur},
           title = {Modeling of hyaluronic acid containing anti-cancer drugs-loaded polylactic-co-glycolic acid bioconjugates for targeted delivery to cancer cells},
          volume = {1482},
             doi = {10.1063/1.4757441},
            year = {2012},
         journal = {AIP Conference Proceedings},
            note = {cited By 0; Conference of 2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012},
        abstract = {Molecular modeling of hyaluronan (HA), polylactic-co-glycolic acid (PLGA), polyethylene glycol-bis-amine (PEG-bis-amine), Curcumin, Cisplatin and the conjugate HA-PEG-PLGA containing Curcumin/Cisplatin were performed using Discovery Studio 2.5 to better understand issues and constraints related to targeted delivery of potent anticancer drugs to cancer cells. HA, a versatile biopolymer is a ligand of cancer cell receptor, CD44 that can be particularly useful in a receptor-mediated cellular uptake of drug-incorporated nanoparticles. Biocompatible and biodegradable polymers, PLGA and PEG, serve as polymeric micelles for controlled-release of drug. Curcumin as a natural anticancer agent has poor solubility that limits its use in drug therapeutics, while platinum-based Cisplatin exhibits systemic cytotoxicity. These can be overcome via drug delivery in polymeric biocompatible vehicles. The PLGA-PEG-HA conjugate shows the total measurement of 105 bond length with average bond length of 1.274163 {\~A} . The conjugation between PEG and HA occurs at C8-O1 atoms and can be manipulated to improve properties. {\^A}{\copyright} 2012 American Institute of Physics.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874166112&doi=10.1063\%2f1.4757441&partnerID=40&md5=ac3a3395c54fd86c8eab43d626e9cf4b},
            issn = {0094243X},
          author = {Gul-E-Saba, {} and Adulphakdee, A. and Madthing, A. and Zafar, M. N. and Abdullah, M. A.},
            isbn = {9780735410947}
}