De Novo Proteins as Models of Radical Enzymes†

Biochemistry ◽  
1999 ◽  
Vol 38 (29) ◽  
pp. 9495-9507 ◽  
Author(s):  
Cecilia Tommos ◽  
Jack J. Skalicky ◽  
Denis L. Pilloud ◽  
A. Joshua Wand ◽  
P. Leslie Dutton
Keyword(s):  
De Novo ◽  
De Novo Proteins ◽  
Radical Enzymes

scholarly journals Encoding of Contextual Fear Memory Requires De Novo Proteins in the Prelimbic Cortex

2017 ◽  
Vol 2 (2) ◽  
pp. 158-169 ◽  
Author(s):  
Valerio Rizzo ◽  
Khalid Touzani ◽  
Bindu L. Raveendra ◽  
Supriya Swarnkar ◽  
Joan Lora ◽  
...  
Keyword(s):  
De Novo ◽  
Fear Memory ◽  
Prelimbic Cortex ◽  
Contextual Fear ◽  
Contextual Fear Memory ◽  
De Novo Proteins

Nanografting De Novo Proteins onto Gold Surfaces

Langmuir ◽  
2005 ◽  
Vol 21 (20) ◽  
pp. 9103-9109 ◽  
Author(s):  
Ying Hu ◽  
Aditi Das ◽  
Michael H. Hecht ◽  
Giacinto Scoles
Keyword(s):  
De Novo ◽  
Gold Surfaces ◽  
De Novo Proteins

scholarly journals The advent of de novo proteins for cancer immunotherapy

2020 ◽  
Vol 56 ◽  
pp. 119-128 ◽  
Author(s):  
Alfredo Quijano-Rubio ◽  
Umut Y. Ulge ◽  
Carl D. Walkey ◽  
Daniel-Adriano Silva
Keyword(s):  
Cancer Immunotherapy ◽  
De Novo ◽  
De Novo Proteins

ChemInform Abstract: De Novo Proteins from Combinatorial Libraries

ChemInform ◽  
2010 ◽  
Vol 32 (52) ◽  
pp. no-no
Author(s):  
David A. Moffet ◽  
Michael H. Hecht
Keyword(s):  
De Novo ◽  
Combinatorial Libraries ◽  
De Novo Proteins

scholarly journals Detecting native-like properties in combinatorial libraries of de novo proteins

1997 ◽  
Vol 2 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Sushmita Roy ◽  
Kimberly J. Helmer ◽  
Michael H. Hecht
Keyword(s):  
De Novo ◽  
Combinatorial Libraries ◽  
De Novo Proteins

scholarly journals Synthesis and Selection of De Novo Proteins That Bind and Impede Cellular Functions of an Essential Mycobacterial Protein

2006 ◽  
Vol 73 (4) ◽  
pp. 1320-1331 ◽  
Author(s):  
Alka Rao ◽  
Geeta Ram ◽  
Adesh Kumar Saini ◽  
Reena Vohra ◽  
Krishan Kumar ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Large Scale ◽  
De Novo ◽  
Cell Damage ◽  
Vitro Assay ◽  
De Novo Proteins ◽  
Protein Pool ◽  
Protein Libraries ◽  
Selection Of

ABSTRACT Recent advances in nonrational and part-rational approaches to de novo peptide/protein design have shown increasing potential for development of novel peptides and proteins of therapeutic use. We demonstrated earlier the usefulness of one such approach recently developed by us, called “codon shuffling,” in creating stand-alone de novo protein libraries from which bioactive proteins could be isolated. Here, we report the synthesis and selection of codon-shuffled de novo proteins that bind to a selected Mycobacterium tuberculosis protein target, the histone-like protein HupB, believed to be essential for mycobacterial growth. Using a versatile bacterial two-hybrid system that entailed utilization of HupB and various codon-shuffled protein libraries as bait and prey, respectively, we were able to identify proteins that bound strongly to HupB. The observed interaction was also confirmed using an in vitro assay. One of the protein binders was expressed in Mycobacterium smegmatis and was shown to appreciably affect growth in the exponential phase, a period wherein HupB is selectively expressed. Furthermore, the transcription profile of hupB gene showed a significant reduction in the transcript quantity in mycobacterial strains expressing the protein binder. Electron microscopy of the affected mycobacteria elaborated on the extent of cell damage and hinted towards a cell division malfunction. It is our belief that a closer inspection of the obtained de novo proteins may bring about the generation of small-molecule analogs, peptidomimetics, or indeed the proteins themselves as realistic leads for drug candidates. Furthermore, our strategy is adaptable for large-scale targeting of the essential protein pool of Mycobacterium tuberculosis and other pathogens.

scholarly journals De Novo Proteins with Life-Sustaining Functions Are Structurally Dynamic

2016 ◽  
Vol 428 (2) ◽  
pp. 399-411 ◽  
Author(s):  
Grant S. Murphy ◽  
Jack B. Greisman ◽  
Michael H. Hecht
Keyword(s):  
De Novo ◽  
De Novo Proteins
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