Literature DB >> 17193316

Investigation of de novo totally random biosequences, Part I: A general method for in vitro selection of folded domains from a random polypeptide library displayed on phage.

Cristiano Chiarabelli1, Jan W Vrijbloed, Richard M Thomas, Pier Luigi Luisi.   

Abstract

This paper reports the initial phase of a research aimed at investigating the folding frequency within a large library of polypeptides generated with a totally random sequence by phage-display technique. Resistance to proteolytic digestion has been used as a first, rudimentary folding criterion. The present paper describes, in particular, the development of a phage-display vector which has a selectable N-terminal affinity tag so that, after controlled proteolysis, the tag is cleaved from the phage. This enables the positive selection of phages that carry proteolytically resistant proteins. To test this system, avian pancreatic polypeptide (APP), one of the smallest proteins with a known structure, was chosen as a model, and its gene was inserted in a plasmid that was then used for phage display. A sequence of three amino acids, corresponding to a substrate for thrombin, was introduced at different locations within the APP sequence without significantly modifying the tertiary structure, as determined by circular dichroism (CD) analysis. These sequences were then used to show that the target tripeptide sequence was protected against proteolysis by the overall folding of the chain. Thus, these results show that the method permits the discrimination between folded and unfolded protein domains displayed on phage. The application of this protocol to a large library of totally random polypeptide chains is discussed as a preliminary to successive work, dealing with the production of totally random polypeptide sequences.

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Year:  2006        PMID: 17193316     DOI: 10.1002/cbdv.200690087

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  12 in total

1.  From Never Born Proteins to Minimal Living Cells: two projects in synthetic biology.

Authors:  Pier Luigi Luisi; Cristiano Chiarabelli; Pasquale Stano
Journal:  Orig Life Evol Biosph       Date:  2006-12       Impact factor: 1.950

2.  Question 3: the worlds of the prebiotic and never born proteins.

Authors:  Cristiano Chiarabelli; Davide De Lucrezia
Journal:  Orig Life Evol Biosph       Date:  2007-07-03       Impact factor: 1.950

3.  "Fuzzy oil drop" model applied to individual small proteins built of 70 amino acids.

Authors:  Katarzyna Prymula; Kinga Sałapa; Irena Roterman
Journal:  J Mol Model       Date:  2010-01-19       Impact factor: 1.810

4.  A new start from ground zero?

Authors:  Pier Luigi Luisi
Journal:  Orig Life Evol Biosph       Date:  2015-01-25       Impact factor: 1.950

5.  Modern and prebiotic amino acids support distinct structural profiles in proteins.

Authors:  Vyacheslav Tretyachenko; Jiří Vymětal; Tereza Neuwirthová; Jiří Vondrášek; Kosuke Fujishima; Klára Hlouchová
Journal:  Open Biol       Date:  2022-06-22       Impact factor: 7.124

6.  CoLiDe: Combinatorial Library Design tool for probing protein sequence space.

Authors:  Vyacheslav Tretyachenko; Václav Voráček; Radko Souček; Kosuke Fujishima; Klára Hlouchová
Journal:  Bioinformatics       Date:  2021-05-01       Impact factor: 6.937

Review 7.  De novo proteins from random sequences through in vitro evolution.

Authors:  Cher Ling Tong; Kun-Hwa Lee; Burckhard Seelig
Journal:  Curr Opin Struct Biol       Date:  2021-01-28       Impact factor: 7.786

8.  Prediction of functional sites based on the fuzzy oil drop model.

Authors:  Michał Bryliński; Katarzyna Prymula; Wiktor Jurkowski; Marek Kochańczyk; Ewa Stawowczyk; Leszek Konieczny; Irena Roterman
Journal:  PLoS Comput Biol       Date:  2007-04-12       Impact factor: 4.475

Review 9.  Chemical synthetic biology: a mini-review.

Authors:  Cristiano Chiarabelli; Pasquale Stano; Pier Luigi Luisi
Journal:  Front Microbiol       Date:  2013-09-23       Impact factor: 5.640

10.  Percolation in protein sequence space.

Authors:  Patrick C F Buchholz; Silvia Fademrecht; Jürgen Pleiss
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

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