Design of Analytical Methods for Protein Adsorption Characteristics at Material Interfaces

A study by Kota Tanaka, last updated in May 2026, developed a characterization technique for nonspecific protein adsorption onto solid surfaces. The dataset, shared on figshare, likely contains results from exploring approximately 24,000 human proteins adsorbed onto magnetic particles, with statistical analysis of features like amino acid residue clustering. This work provides a foundation for designing blocking agents and surface modifications in bioanalytical applications.

Use Cases

• Identify common features of highly adsorptive proteins based on statistical analysis of amino acid residues like arginine and alanine.
• Study the role of structural flexibility and charge distribution in protein adsorption, particularly in denatured regions.
• Support the design of novel blocking agents based on insights into protein charge blockiness from highly mobile denatured regions.
• Apply the developed methodology to control protein adsorption on a wide range of materials beyond the studied magnetic particles.

Strengths

• Analysis is based on approximately 24,000 human proteins, providing a broad scope.
• Combines protein array-based interaction profiling with in silico characterization for methodological depth.
• File size is 5.7 MB, indicating a focused and manageable dataset for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kota Tanaka via figshare

Collection Method

Proteins adsorbed onto magnetic particles were explored and characterized in silico, with statistical analysis of common features.

Freshness

Last updated 2026-05-28 19:46:38; freshness should be verified.