Literature DB >> 16920093

Subtractive SELEX against two heterogeneous target samples: numerical simulations and analysis.

Chi-Kan Chen1, Tzy-Ling Kuo, Po-Chou Chan, Lung-Ying Lin.   

Abstract

Systematic evolution of ligands by exponential (SELEX) is a revolutionary technology that integrates combinatorial chemistry with high throughput screening to generate from synthesized nucleic acid ligand libraries the high affinity nucleic acid ligands (aptamers) for interesting targets. Recently, the SELEX experiments have advanced from targeting the ligand libraries by a single purified target to multiple heterogeneous target samples. Having the potential of bringing enormous technical and economical advantages to drug discovery, the new application suffers from unpredictable performances. To gain an insight of the new method, we develop a computer model to numerically analyze the subtractive SELEX alternatively against two distinct heterogeneous samples of unknown targets. The model features the discretization of ligand library, the ligand-target binding equilibrium equations, and the separation efficiency of bound and unbound ligands in experiments. By computer simulations, we investigate how aptamers for desired targets embedded in undefined target mixtures are generated under different experimental conditions. We find the iterative screening scheme is fundamentally capable of developing desired aptamers. On the other hand, target sample configuration and separation efficiency may all together significantly diversify the screening dynamics and results.

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Year:  2006        PMID: 16920093     DOI: 10.1016/j.compbiomed.2006.06.015

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Controlling uncertainty in aptamer selection.

Authors:  Fabian Spill; Zohar B Weinstein; Atena Irani Shemirani; Nga Ho; Darash Desai; Muhammad H Zaman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-07       Impact factor: 11.205

Review 2.  In silico design of novel aptamers utilizing a hybrid method of machine learning and genetic algorithm.

Authors:  Mahsa Torkamanian-Afshar; Sajjad Nematzadeh; Maryam Tabarzad; Ali Najafi; Hossein Lanjanian; Ali Masoudi-Nejad
Journal:  Mol Divers       Date:  2021-02-07       Impact factor: 2.943

Review 3.  Development of Cell-SELEX Technology and Its Application in Cancer Diagnosis and Therapy.

Authors:  Man Chen; Yuanyuan Yu; Feng Jiang; Junwei Zhou; Yongshu Li; Chao Liang; Lei Dang; Aiping Lu; Ge Zhang
Journal:  Int J Mol Sci       Date:  2016-12-10       Impact factor: 5.923

Review 4.  Aptamer Bioinformatics.

Authors:  Andrew B Kinghorn; Lewis A Fraser; Shaolin Lang; Simon Chi-Chin Shiu; Julian A Tanner
Journal:  Int J Mol Sci       Date:  2017-11-24       Impact factor: 5.923

Review 5.  Inside the Black Box: What Makes SELEX Better?

Authors:  Natalia Komarova; Alexander Kuznetsov
Journal:  Molecules       Date:  2019-10-07       Impact factor: 4.411

6.  Selection and preliminary application of a single stranded DNA aptamer targeting colorectal cancer serum.

Authors:  Kun Li; Liqing Qi; LiMing Gao; Ming Shi; Jian Li; ZhiWei Liu; Lu Zhao
Journal:  RSC Adv       Date:  2019-11-27       Impact factor: 4.036

  6 in total

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