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Updated: Mar 11, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Computational protein design with backbone plasticity.

James T MacDonald^1,2, Paul S Freemont^1,2

¹Centre for Synthetic Biology and Innovation, South Kensington Campus, London SW7 2AZ, U.K.

Biochemical Society Transactions

|December 3, 2016

Summary

This summary is machine-generated.

Computational protein design advances artificial enzymes. Incorporating backbone flexibility, though challenging, overcomes limitations of natural scaffolds for novel protein engineering.

Keywords:

computational protein design conformational sampling flexible backbone design

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Area of Science:

Biochemistry
Computational Biology
Protein Engineering

Background:

Computational protein design has advanced significantly, enabling the creation of artificial proteins with novel functions.
Artificial enzyme design, a key success, often relies on natural protein scaffolds for novel functionality.
Integrating backbone flexibility into computational design presents challenges due to increased search space but offers greater design freedom.

Purpose of the Study:

To review the principles of computational protein design methods.
To discuss recent advancements in incorporating backbone flexibility into protein design.
To highlight the potential of backbone plasticity in overcoming limitations of natural protein scaffolds.

Main Methods:

Review of computational algorithms for protein design.
Analysis of strategies for incorporating backbone flexibility.
Discussion of successes and challenges in de novo enzyme design.

Main Results:

Sophisticated computational algorithms have led to remarkable successes in artificial protein design.
The de novo design of artificial enzymes represents a significant achievement.
Reusing natural protein scaffolds is a common approach, but backbone flexibility offers a path beyond these limitations.

Conclusions:

Computational protein design is a rapidly evolving field with significant potential.
Addressing backbone flexibility is crucial for advancing the design of artificial proteins beyond natural scaffolds.
Future efforts should focus on computationally tractable methods to incorporate backbone plasticity for broader applications.