Enzyme-like proteins by computational design
By Daniel N. A. Bolon, Stephen L. Mayo. Proceedings of the National Academy of Sciences of the United States of America, 2001
424 citations recorded by the source corpus.
Subfields: Molecular Biology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/02a96de84ce79eff6fc052a8969c94ea19063f56
How researchers see this paper
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In Molecular Biology
- I. Samish
- David Baker
- Sagar D. Khare
- Jens Meiler
- Po-Ssu Huang
- Raphael R. Eguchi
- Alexander Derry
- Sarel Jacob Fleishman
In Radiology, Nuclear Medicine and Imaging
- I. Samish
- Raphael R. Eguchi
- Po-Ssu Huang
- Sarel Jacob Fleishman
- Sagar D. Khare
- Jens Meiler
- David Baker
- Frances H. Arnold
Citations in the corpus
- New algorithms and an in silico benchmark for computational enzyme design (2006, methodology): “Although the algorithms we describe are new, the overall approach of starting with a geometric description of an active site, searching through a protein scaffold for positions where it can be placed, and designing the surrounding residues has been used in previous studies (Hellinga and Richards 199”
- Emerging themes in the computational design of novel enzymes and protein–protein interfaces (2013, background): “A pioneering effort by Bolon and Mayo included atomistic details of the catalyzed reaction and introduced a nucleophilic histidine residue on the surface of a catalytically inert thioredoxin to obtain catalysts (‘‘protozymes’’) for the hydrolysis of an activated ester substrate [18].”
- Achievements and Challenges in Computational Protein Design. (2017, methodology): “In 2001 Bolon andMayo applied ORBIT [18] to computationally design protozymes which are enzyme-like proteins exemplified on a thioredoxin scaffold catalyzing a nucleophilic hydrolysis of pnitrophenol acetate [27].”
- Protein sequence design with a learned potential (2020, background): “These advances have led to significant achievements in the engineering of therapeutics [13, 14, 15], biosensors [16, 17, 18], enzymes [19, 20, 21, 22], and more [23, 24, 25, 26, 27].”
- Computational design of receptor and sensor proteins with novel functions (2003, background): “and has many biotechnological applications, including the construction of enzyme”