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Metal recognition by in‐vitro selection
Author(s) -
Gupta Kanika,
Yin John
Publication year - 1995
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260450512
Subject(s) - zinc , bacteriophage , selection (genetic algorithm) , metal , in vitro , magnesium , chemistry , urea , metal ions in aqueous solution , phage display , computational biology , combinatorial chemistry , biochemistry , biology , gene , escherichia coli , computer science , organic chemistry , artificial intelligence , peptide
We propose an in vitro selection strategy to identify bacteriophage variants that recognize metal ions in solution. In 6 M urea, phage T7 loses 99.9% of its activity in less than 5 min. Inactivation is accelerated by gold, but slowed by zinc and magnesium. Selection of phage over five generations in the presence of gold, zinc, and magnesium increases phage half‐lives 4‐, 10‐, and 70‐fold, respectively. As selections are repeated, phage become increasingly dependent on the specific metal employed in the selection, indicating the suitability of the strategy for optimization of metal‐ion recognition. © 1995 John Wiley & Sons, Inc.