Dynamic covalent chemistry uses reversible chemical reactions to set up an equilibrating network of molecules at thermodynamic equilibrium, which can adjust its composition in response to any agent capable of altering the free energy of the system. When the target is a biological macromolecule, such as a protein, the process corresponds to the protein directing the synthesis of its own best ligand. Here, we demonstrate that reversible acylhydrazone formation is an effective chemistry for biological dynamic combinatorial library formation. In the presence of aniline as a nucleophilic catalyst, dynamic combinatorial libraries equilibrate rapidly at pH 6.2, are fully reversible, and may be switched on or off by means of a change in pH. We have interfaced these hydrazone dynamic combinatorial libraries with two isozymes from the glutathione S-transferase class of enzyme, and observed divergent amplification effects, where each protein selects the best-fitting hydrazone for the hydrophobic region of its active site.
Dynamic covalent chemistry uses reversible chemical reactions to set up an equilibrating network of molecules at thermodynamic equilibrium, which can adjust its composition in response to any agent capable of altering the free energy of the system. When the target is a biological macromolecule, such as a protein, the process corresponds to the protein directing the synthesis of its own best ligand. Here, we demonstrate that reversible acylhydrazone formation is an effective chemistry for biological dynamic combinatorial library formation. In the presence of n class="Chemical">aniline as a nucleophilic catalyst, dynamic combinatorial libraries equilibrate rapidly at pH 6.2, are fully reversible, and may be switched on or off by means of a change in pH. We have interfaced these hydrazone dynamic combinatorial libraries with two isozymes from the glutathione S-transferase class of enzyme, and observed divergent amplification effects, where each protein selects the best-fitting hydrazone for the hydrophobic region of its active site.
Authors: D A Erlanson; A C Braisted; D R Raphael; M Randal; R M Stroud; E M Gordon; J A Wells Journal: Proc Natl Acad Sci U S A Date: 2000-08-15 Impact factor: 11.205
Authors: Matthias Hochgürtel; Heiko Kroth; Dorothea Piecha; Michael W Hofmann; Claude Nicolau; Sonja Krause; Otmar Schaaf; Gabriele Sonnenmoser; Alexey V Eliseev Journal: Proc Natl Acad Sci U S A Date: 2002-03-12 Impact factor: 11.205
Authors: Stuart J Rowan; Stuart J Cantrill; Graham R L Cousins; Jeremy K M Sanders; J Fraser Stoddart Journal: Angew Chem Int Ed Engl Date: 2002-03-15 Impact factor: 15.336
Authors: M K Chern; T C Wu; C H Hsieh; C C Chou; L F Liu; I C Kuan; Y H Yeh; C D Hsiao; M F Tam Journal: J Mol Biol Date: 2000-07-28 Impact factor: 5.469
Authors: Marissa E Wechsler; H K H Jocelyn Dang; Samuel D Dahlhauser; Susana P Simmonds; James F Reuther; Jordyn M Wyse; Abigail N VandeWalle; Eric V Anslyn; Nicholas A Peppas Journal: Chem Commun (Camb) Date: 2020-05-04 Impact factor: 6.222
Authors: Job Boekhoven; Jos M Poolman; Chandan Maity; Feng Li; Lars van der Mee; Christophe B Minkenberg; Eduardo Mendes; Jan H van Esch; Rienk Eelkema Journal: Nat Chem Date: 2013-04-07 Impact factor: 24.427
Authors: Mona Sharafi; Kyle T McKay; Monika Ivancic; Dillon R McCarthy; Natavan Dudkina; Kyle E Murphy; Sinu C Rajappan; Joseph P Campbell; Yuxiang Shen; Appala Raju Badireddy; Jianing Li; Severin T Schneebeli Journal: Chem Date: 2020-06-11 Impact factor: 22.804
Authors: Jos M Poolman; Job Boekhoven; Anneke Besselink; Alexandre G L Olive; Jan H van Esch; Rienk Eelkema Journal: Nat Protoc Date: 2014-03-27 Impact factor: 13.491
Authors: Hua Lin; Christelle Doebelin; Rémi Patouret; Ruben D Garcia-Ordonez; M R Chang; Venkatasubramanian Dharmarajan; Claudia Ruiz Bayona; Michael D Cameron; Patrick R Griffin; Theodore M Kamenecka Journal: Bioorg Med Chem Lett Date: 2018-03-08 Impact factor: 2.823