Literature DB >> 20731669

Computer-assisted design of pro-drugs for antimalarial atovaquone.

Rafik Karaman1, Hussein Hallak.   

Abstract

Density Functional Theory (DFT) and ab initio calculation results for the proton transfer reaction in Kirby's enzyme models 1-6 reveal that the reaction rate is largely dependent on the existence of a hydrogen bonding net in the reactants and the corresponding transition states. Further, the distance between the two reacting centers and the angle of the hydrogen bonding formed along the reaction path has profound effects on the rate. Hence, the study on the systems reported herein could provide a good basis for designing antimalarial (atovaquone) pro-drug systems that can be used to release the parent drug in a controlled manner. For example, based on the calculated log EM, the cleavage process for pro-drug 1Pro may be predicted to be about 10¹¹ times faster than that for a pro-drug 4Pro and about 10⁴ times faster than pro-drug 2Pro: rate (1Pro) > rate (2Pro > rate (4Pro). Thus, the rate by which the pro-drug releases the antimalarial drug can be determined according to the nature of the linker (Kirby's enzyme model 1-6).
© 2010 John Wiley & Sons A/S.

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Year:  2010        PMID: 20731669     DOI: 10.1111/j.1747-0285.2010.01018.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  8 in total

1.  Design, synthesis and in vitro kinetic study of tranexamic acid prodrugs for the treatment of bleeding conditions.

Authors:  Rafik Karaman; Hiba Ghareeb; Khuloud Kamal Dajani; Laura Scrano; Hussein Hallak; Saleh Abu-Lafi; Gennaro Mecca; Sabino A Bufo
Journal:  J Comput Aided Mol Des       Date:  2013-07-24       Impact factor: 3.686

2.  Computationally designed prodrugs of statins based on Kirby's enzyme model.

Authors:  Rafik Karaman; Wajd Amly; Laura Scrano; Gennaro Mecca; Sabino A Bufo
Journal:  J Mol Model       Date:  2013-07-09       Impact factor: 1.810

3.  Computer-assisted design for paracetamol masking bitter taste prodrugs.

Authors:  Hatem Hejaz; Rafik Karaman; Mustafa Khamis
Journal:  J Mol Model       Date:  2011-04-15       Impact factor: 1.810

4.  Prodrugs for masking bitter taste of antibacterial drugs--a computational approach.

Authors:  Rafik Karaman
Journal:  J Mol Model       Date:  2013-02-19       Impact factor: 1.810

5.  Computer-assisted design for atenolol prodrugs for the use in aqueous formulations.

Authors:  Rafik Karaman; Khuloud Dajani; Hussein Hallak
Journal:  J Mol Model       Date:  2011-07-23       Impact factor: 1.810

6.  Prodrugs of fumarate esters for the treatment of psoriasis and multiple sclerosis--a computational approach.

Authors:  Rafik Karaman; Ghadeer Dokmak; Maryam Bader; Hussein Hallak; Mustafa Khamis; Laura Scrano; Sabino Aurelio Bufo
Journal:  J Mol Model       Date:  2012-09-02       Impact factor: 1.810

Review 7.  Computational Simulations to Guide Enzyme-Mediated Prodrug Activation.

Authors:  Milica Markovic; Shimon Ben-Shabat; Arik Dahan
Journal:  Int J Mol Sci       Date:  2020-05-20       Impact factor: 5.923

Review 8.  Enzyme Models-From Catalysis to Prodrugs.

Authors:  Zeinab Breijyeh; Rafik Karaman
Journal:  Molecules       Date:  2021-05-28       Impact factor: 4.411

  8 in total

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