Literature DB >> 8441682

Quantitative sequence-activity models (QSAM)--tools for sequence design.

J Jonsson1, T Norberg, L Carlsson, C Gustafsson, S Wold.   

Abstract

Models have been developed that allow the biological activity of a DNA segment to be altered in a desired direction. Partial least squares projections to latent structures (PLS) was used to establish a quantitative model between a numerical description of 68 bp fragments of 25 E.coli promoters and their corresponding quantitative measure of in vivo strength. This quantitative sequence-activity model (QSAM) was used to generate two 68 bp fragments predicted to be more potent promoters than any of those on which the model originally was based. The optimized structures were experimentally verified to be strong promoters in vivo.

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Year:  1993        PMID: 8441682      PMCID: PMC309176          DOI: 10.1093/nar/21.3.733

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  Is molecular biology yet a science?

Authors:  J Maddox
Journal:  Nature       Date:  1992-01-16       Impact factor: 49.962

2.  Promoters largely determine the efficiency of repressor action.

Authors:  M Lanzer; H Bujard
Journal:  Proc Natl Acad Sci U S A       Date:  1988-12       Impact factor: 11.205

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Authors:  C B Harley; R P Reynolds
Journal:  Nucleic Acids Res       Date:  1987-03-11       Impact factor: 16.971

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Authors:  D J Galas; M Eggert; M S Waterman
Journal:  J Mol Biol       Date:  1985-11-05       Impact factor: 5.469

5.  Computer methods to locate signals in nucleic acid sequences.

Authors:  R Staden
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

6.  Escherichia coli promoter sequences predict in vitro RNA polymerase selectivity.

Authors:  M E Mulligan; D K Hawley; R Entriken; W R McClure
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

7.  Synthesis of a model promoter for gene expression in Escherichia coli.

Authors:  V N Dobrynin; V G Korobko; I V Severtsova; N S Bystrov; S A Chuvpilo; M N Kolosov
Journal:  Nucleic Acids Symp Ser       Date:  1980

8.  PL of coliphage lambda: an alternative solution for an efficient promoter.

Authors:  R Knaus; H Bujard
Journal:  EMBO J       Date:  1988-09       Impact factor: 11.598

9.  Promoter recognition and promoter strength in the Escherichia coli system.

Authors:  M Brunner; H Bujard
Journal:  EMBO J       Date:  1987-10       Impact factor: 11.598

10.  Functional dissection of Escherichia coli promoters: information in the transcribed region is involved in late steps of the overall process.

Authors:  W Kammerer; U Deuschle; R Gentz; H Bujard
Journal:  EMBO J       Date:  1986-11       Impact factor: 11.598

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  14 in total

1.  ACTIVITY: a database on DNA/RNA sites activity adapted to apply sequence-activity relationships from one system to another.

Authors:  J V Ponomarenko; D P Furman; A S Frolov; N L Podkolodny; G V Orlova; M P Ponomarenko; N A Kolchanov; A Sarai
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Rationally designed families of orthogonal RNA regulators of translation.

Authors:  Vivek K Mutalik; Lei Qi; Joao C Guimaraes; Julius B Lucks; Adam P Arkin
Journal:  Nat Chem Biol       Date:  2012-03-25       Impact factor: 15.040

Review 3.  Engineering genes for predictable protein expression.

Authors:  Claes Gustafsson; Jeremy Minshull; Sridhar Govindarajan; Jon Ness; Alan Villalobos; Mark Welch
Journal:  Protein Expr Purif       Date:  2012-03-08       Impact factor: 1.650

4.  Quantitative estimation of activity and quality for collections of functional genetic elements.

Authors:  Vivek K Mutalik; Joao C Guimaraes; Guillaume Cambray; Quynh-Anh Mai; Marc Juul Christoffersen; Lance Martin; Ayumi Yu; Colin Lam; Cesar Rodriguez; Gaymon Bennett; Jay D Keasling; Drew Endy; Adam P Arkin
Journal:  Nat Methods       Date:  2013-03-10       Impact factor: 28.547

5.  The jigsaw puzzle of sequence phenotype inference: Piecing together Shannon entropy, importance sampling, and Empirical Bayes.

Authors:  Zeina Shreif; Deborah A Striegel; Vipul Periwal
Journal:  J Theor Biol       Date:  2015-06-17       Impact factor: 2.691

6.  Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay.

Authors:  Alexandre Melnikov; Anand Murugan; Xiaolan Zhang; Tiberiu Tesileanu; Li Wang; Peter Rogov; Soheil Feizi; Andreas Gnirke; Curtis G Callan; Justin B Kinney; Manolis Kellis; Eric S Lander; Tarjei S Mikkelsen
Journal:  Nat Biotechnol       Date:  2012-02-26       Impact factor: 54.908

7.  Engineering proteinase K using machine learning and synthetic genes.

Authors:  Jun Liao; Manfred K Warmuth; Sridhar Govindarajan; Jon E Ness; Rebecca P Wang; Claes Gustafsson; Jeremy Minshull
Journal:  BMC Biotechnol       Date:  2007-03-26       Impact factor: 2.563

8.  Benchmarking of protein descriptor sets in proteochemometric modeling (part 1): comparative study of 13 amino acid descriptor sets.

Authors:  Gerard Jp van Westen; Remco F Swier; Jörg K Wegner; Adriaan P Ijzerman; Herman Wt van Vlijmen; Andreas Bender
Journal:  J Cheminform       Date:  2013-09-23       Impact factor: 5.514

9.  Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.

Authors:  Gerard Jp van Westen; Remco F Swier; Isidro Cortes-Ciriano; Jörg K Wegner; John P Overington; Adriaan P Ijzerman; Herman Wt van Vlijmen; Andreas Bender
Journal:  J Cheminform       Date:  2013-09-24       Impact factor: 5.514

Review 10.  Synthetic promoter design for new microbial chassis.

Authors:  James Gilman; John Love
Journal:  Biochem Soc Trans       Date:  2016-06-15       Impact factor: 5.407

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