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Mechanical Protein Function

Mechanical Protein Function

Proteins perform many mechanical functions in a cell. These proteins can be classified into two general categories- proteins that generate mechanical forces and proteins that are subjected to mechanical forces. Proteins providing mechanical support to the structure of the cell, such as keratin, are subjected to mechanical force, whereas proteins involved in cell movement and transport of molecules across cell membranes, such as an ion pump, are examples of generating mechanical force.

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Updated: Jun 26, 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

Protein engineering via sequence-performance mapping.

Adam McConnell¹, Benjamin J Hackel²

¹Department of Biomedical Engineering, University of Minnesota - Twin Cities, 421 Washington Avenue SE, Minneapolis, MN 55455, USA.

|July 26, 2023

Summary

This summary is machine-generated.

Protein engineering advances discovery and evolution of proteins for therapeutics and biotechnology. Combining rational design with experimental screening efficiently maps protein sequence-performance landscapes for improved function.

Keywords:

directed evolution landscape protein design protein engineering sequence-performance mapping

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Last Updated: Jun 26, 2026

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

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Published on: November 29, 2024

Area of Science:

Protein engineering
Biotechnology
Molecular therapeutics

Background:

Protein discovery and evolution are crucial for advancing molecular therapeutics, diagnostics, and industrial biotechnology.
Efficient screening and effective libraries are essential for both protein discovery and evolution.
Challenges differ based on the presence or absence of an initial protein variant with desired function.

Purpose of the Study:

To explore the synergy between rational computational design and experimental screening in protein engineering.
To highlight the importance of efficient protein characterization in mapping sequence-performance landscapes.
To advance fundamental protein science and facilitate protein discovery and evolution.

Main Methods:

Utilizing high-throughput experimental and computational technologies for efficient screening.
Employing rational design of combinatorial libraries to aid sequence space exploration.
Leveraging high-integrity experimental data to inform computational design.
Focusing on efficient protein characterization to map sequence-performance relationships.

Main Results:

Synergy between rational design and experimental approaches has emerged.
Rational design of libraries enhances experimental search.
Experimental data informs computational design.
Protein characterization maps sequence-performance landscapes, elucidating complex relationships.

Conclusions:

The integration of rational design and experimental screening accelerates protein discovery and evolution.
Quantitative mapping of sequence-performance landscapes is key to understanding protein function.
This approach advances fundamental protein science and enables development of improved protein-based applications.