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Updated: Dec 10, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
IPRO+/-: Computational Protein Design Tool Allowing for Insertions and Deletions
Ratul Chowdhury1, Matthew J Grisewood1, Veda Sheersh Boorla1
1Department of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Protein redesign using computational methods can now incorporate insertions and deletions (indels) to enhance enzyme function. This approach successfully engineered new enzyme variants with improved activities and altered sizes.
Area of Science:
- Protein engineering
- Computational biology
- Enzyme design
Background:
- Insertions and deletions (indels) in proteins alter residue spacing, offering unique functional tuning beyond substitutions.
- Computational protein design traditionally focuses on amino acid substitutions, limiting exploration of indel effects.
Purpose of the Study:
- To develop an optimization-based computational approach for protein redesign incorporating indels and substitutions.
- To predict beneficial indel and substitution combinations for novel protein variants.
- To provide tools for enzyme engineering and broader protein design tasks.
Main Methods:
- Developed an optimization-based computational protein redesign algorithm.
- Integrated prediction of beneficial indels and substitutions.
- Generated putative substrate-docked structures for designed protein variants.
- Utilized PyRosetta to create the open-source Indel-Maker tool.
Main Results:
- Identified active variants of bacterial thioesterase ('TesA) with experimental validation.
- Successfully recapitulated known active TEM-1 β-Lactamase sequences of varying lengths.
- Discovered shorter 4-Coumarate:CoA ligase variants with enhanced in vitro activity on non-native substrates.
Conclusions:
- Computational indel incorporation enables novel protein engineering strategies.
- The developed method and Indel-Maker tool facilitate the design of enzymes with tailored functions and sizes.
- This approach expands the possibilities for tuning protein function through sequence manipulation.
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