Literature DB >> 11924591

Rational design of a polymer specific for microcystin-LR using a computational approach.

Iva Chianella1, Manuela Lotierzo, Sergey A Piletsky, Ibtisam E Tothill, Beining Chen, Khalku Karim, Anthony P F Turner.   

Abstract

A computational approach for the design of a molecularly imprinted polymer (MIP) specific for Cyanobacterial toxin microcystin-LR is presented. By using molecular modeling software, a virtual library of functional monomers was designed and screened against the target toxin, employed as a template. The monomers giving the highest binding energy were selected and used in a simulated annealing (molecular dynamics) process to investigate their interaction with the template. The stoichiometric ratio observed from the simulated annealing study was used in MIP preparation for microcystin-LR. The monomers were copolymerized with a cross-linker in the presence of the template. A control (blank) polymer was prepared under the same conditions but in the absence of template. A competitive assay with microcystin-horseradish peroxidase conjugate was optimized and used to evaluate the affinity and cross-reactivity of the polymer. The performance of the artificial receptor was compared to the performance of monoclonal and polyclonal antibodies raised against the toxin. The results indicate that imprinted polymer has affinity and sensitivity comparable to those of polyclonal antibodies (the detection limit for microcystin-LR using the MIP-based assay was found to be 0.1 microg L-1), while superior chemical and thermal stabilities were obtained. Moreover, cross-reactivity to other toxin analogues was very low for the imprinted polymer, in contrast to the results achieved for antibodies. It is anticipated that the polymer designed could be used in assays, sensors, and solid-phase extraction.

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Year:  2002        PMID: 11924591     DOI: 10.1021/ac010840b

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  23 in total

1.  Removal of cyanotoxins from surface water resources using reusable molecularly imprinted polymer adsorbents.

Authors:  Reddithota J Krupadam; Govind P Patel; Rajasekhar Balasubramanian
Journal:  Environ Sci Pollut Res Int       Date:  2011-12-30       Impact factor: 4.223

2.  Molecular docking simulations for macromolecularly imprinted polymers.

Authors:  David R Kryscio; Yue Shi; Pengyu Ren; Nicholas A Peppas
Journal:  Ind Eng Chem Res       Date:  2011-10-31       Impact factor: 3.720

Review 3.  From 3D to 2D: a review of the molecular imprinting of proteins.

Authors:  Nicholas W Turner; Christopher W Jeans; Keith R Brain; Christopher J Allender; Vladimir Hlady; David W Britt
Journal:  Biotechnol Prog       Date:  2006 Nov-Dec

4.  Formation of protein molecular imprints within Langmuir monolayers: a quartz crystal microbalance study.

Authors:  Nicholas W Turner; Bryon E Wright; Vladimir Hlady; David W Britt
Journal:  J Colloid Interface Sci       Date:  2006-12-15       Impact factor: 8.128

5.  Recognition of conformational changes in beta-lactoglobulin by molecularly imprinted thin films.

Authors:  Nicholas W Turner; Xiao Liu; Sergey A Piletsky; Vladimir Hlady; David W Britt
Journal:  Biomacromolecules       Date:  2007-08-01       Impact factor: 6.988

6.  Development and characterization of propranolol selective molecular imprinted polymer composite electrospun nanofiber membrane.

Authors:  Prasopchai Tonglairoum; Wanita Chaijaroenluk; Theerasak Rojanarata; Tanasait Ngawhirunpat; Prasert Akkaramongkolporn; Praneet Opanasopit
Journal:  AAPS PharmSciTech       Date:  2013-05-08       Impact factor: 3.246

7.  Screening of different computational models for the preparation of sol-gel imprinted materials.

Authors:  Elmer-Rico E Mojica
Journal:  J Mol Model       Date:  2013-07-06       Impact factor: 1.810

8.  Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network.

Authors:  Chanin Nantasenamat; Thanakorn Naenna; Chartchalerm Isarankura Na Ayudhya; Virapong Prachayasittikul
Journal:  J Comput Aided Mol Des       Date:  2005-10-22       Impact factor: 3.686

9.  Computational investigation of stoichiometric effects, binding site heterogeneities, and selectivities of molecularly imprinted polymers.

Authors:  Jacob J Terracina; Magnus Bergkvist; Susan T Sharfstein
Journal:  J Mol Model       Date:  2016-05-20       Impact factor: 1.810

10.  Rational synthesis of pindolol imprinted polymer by non-covalent protocol based on computational approach.

Authors:  Kiran Kumar Tadi; Ramani V Motghare
Journal:  J Mol Model       Date:  2013-05-18       Impact factor: 1.810

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