Validation of De Novo Designed Solid-Binding Peptides for Polyethylene

A dataset validating de novo designed solid-binding peptides for polyethylene, created by Michael T. Bergman and last updated on May 22, 2026. It likely contains results from steered molecular dynamics and single-molecule force measurements. The data supports a machine learning and biophysical modeling approach for peptide discovery.

Use Cases

• Validate peptide adsorption strength based on steered molecular dynamics simulation results.
• Analyze sequence patterns of designed peptides based on blocks of non-polar and charged residues.
• Compare experimental adhesion forces with previously reported solid-binding peptides.
• Study conformation patterns at solid surfaces based on hydrophobic and charged residue segregation.

Strengths

• Data is validated by both steered molecular dynamics simulations and single-molecule force measurements.
• Experimental adhesion forces exceed those previously reported for solid-binding peptides.
• The dataset is associated with a published research approach combining biophysical modeling and machine learning.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is relatively small at 4.5 MB.

Provenance

Source

figshare

Collection Method

Likely generated from steered molecular dynamics simulations and single-molecule force measurements.

Freshness

Last updated 2026-05-22 16:34:58.