Literature DB >> 9600840

The mathematics of SELEX against complex targets.

B Vant-Hull1, A Payano-Baez, R H Davis, L Gold.   

Abstract

We have developed a computer model for the simulation of simultaneous SELEX against multiple targets. The model assumes equilibrium behavior for the formation of binary ligand:target complexes, and that there is no ligand:ligand or target:target interaction. Target concentrations, ligand concentrations, and affinity distributions of the initial ligand pool for each individual target may be set by the user. We have used this program to gain an understanding of how the presence of multiple targets affects the selection process. In most cases, we find that SELEX is capable of generating different ligands for the different targets in a heterogeneous mixture, regardless of large variations in target concentrations and ligand:target affinities. A low relative partitioning efficiency (the efficiency with which ligands complexed with a target are separated from free ligands) for a target in a mixture gives a greatly reduced rate of selection of high-affinity ligands to that target. The ratio of each high-affinity ligand to its individual target within a pool of ligands selected for binding against a mixture of targets is approximately proportional to the concentration of the target multiplied by the ligand:target partitioning efficiency. Copyright 1998 Academic Press Limited.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9600840     DOI: 10.1006/jmbi.1998.1727

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  14 in total

1.  Estimation of SELEX pool size by measurement of DNA renaturation rates.

Authors:  J Charlton; D Smith
Journal:  RNA       Date:  1999-10       Impact factor: 4.942

2.  In vitro selection of integration host factor binding sites.

Authors:  S D Goodman; N J Velten; Q Gao; S Robinson; A M Segall
Journal:  J Bacteriol       Date:  1999-05       Impact factor: 3.490

3.  In vivo selection reveals combinatorial controls that define a critical exon in the spinal muscular atrophy genes.

Authors:  Natalia N Singh; Elliot J Androphy; Ravindra N Singh
Journal:  RNA       Date:  2004-08       Impact factor: 4.942

4.  Diverse evolutionary trajectories characterize a community of RNA-cleaving deoxyribozymes: a case study into the population dynamics of in vitro selection.

Authors:  Kenny Schlosser; Yingfu Li
Journal:  J Mol Evol       Date:  2005-06-27       Impact factor: 2.395

5.  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

6.  A tenascin-C aptamer identified by tumor cell SELEX: systematic evolution of ligands by exponential enrichment.

Authors:  Dion A Daniels; Hang Chen; Brian J Hicke; Kristine M Swiderek; Larry Gold
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-15       Impact factor: 11.205

7.  Influence of target concentration and background binding on in vitro selection of affinity reagents.

Authors:  Jinpeng Wang; Joseph F Rudzinski; Qiang Gong; H Tom Soh; Paul J Atzberger
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

8.  Capture-SELEX: Selection of DNA Aptamers for Aminoglycoside Antibiotics.

Authors:  Regina Stoltenburg; Nadia Nikolaus; Beate Strehlitz
Journal:  J Anal Methods Chem       Date:  2012-12-30       Impact factor: 2.193

9.  Cell-SELEX Technology.

Authors:  Shoji Ohuchi
Journal:  Biores Open Access       Date:  2012-12

10.  A genotype-to-phenotype map of in vitro selected RNA-cleaving DNAzymes: implications for accessing the target phenotype.

Authors:  Kenny Schlosser; Jeffrey C F Lam; Yingfu Li
Journal:  Nucleic Acids Res       Date:  2009-04-08       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.