We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Spacing Over Sequence: Design Considerations for Polystyrene-binding Polypeptides
AI summary Read the abstract
Scientists are designing tiny protein chains that can grab onto plastic particles, which could eventually help detect or clean up nanoplastics in our environment and bodies. This study found that having the right building blocks isn't enough—how those pieces are spaced out along the chain matters just as much for getting a strong, reliable grip on plastic surfaces. This is an early but important step toward creating better tools to capture microplastics before they become a bigger health concern.
Plastic-binding polypeptides have emerging applications in biosensor design, materials functionalization, and nanoplastic capture, and the rational design of new sequences requires the development of structural and sequence-based design principles. Here, we demonstrate a computational workflow combining atomistic molecular dynamics simulations and enhanced sampling to evaluate polypeptide binding to polystyrene, a common commodity plastic. We investigate three candidate sequences previously proposed as polystyrene binders, all enriched in aromatic or cationic residues expected to interact with polystyrene’s aromatic rings. We find that two sequences bind stably through apparent π-stacking and cation-π interactions, while one fails to bind despite similar composition. Our analysis demonstrates that composition alone does not determine successful binding and that amino acid spacing and accessibility to multiple binding configurations are determining factors for stable polystyrene binding.
More Papers Like This
Spacing Over Sequence: Design Considerations for Polystyrene-binding Polypeptides
AI summary Read the abstract
Scientists used computer simulations to design tiny protein snippets that can grab onto polystyrene, a common plastic found in packaging and, increasingly, in our bodies as microplastics. They found that spacing certain building blocks correctly, not just picking the right ones, is key to making these proteins stick. This could eventually help create tools to detect or capture nanoplastics before they affect our health.
Structure of soft and hard protein corona around polystyrene nanoplastics—Particle size and protein types
AI summary Read the abstract
Researchers characterized the protein corona that forms around polystyrene nanoplastics of different sizes, finding that particle size influences which proteins bind and how tightly, with implications for nanoplastic toxicity and biological uptake.
Multispectroscopic investigations of the binding interaction between microplastics and actin protein
AI summary Read the abstract
Scientists found that tiny plastic particles can physically bind to actin, a protein that helps give our cells structure and lets them move. Some plastic types (like polystyrene) stuck more strongly than others, and this binding actually changed the protein's shape. This matters because if microplastics build up in our cells and distort important proteins, it could interfere with how cells normally function.
Towards a better understanding of protein affinity for polystyrene nanoplastics: Investigation of surface charge effects, interaction mechanisms and aggregation kinetics
AI summary Read the abstract
Scientists found that tiny plastic particles (nanoplastics) interact very differently with proteins in our blood depending on their electrical charge: positively charged particles bind proteins and clump together, while negatively charged ones stay separate. This matters because how these plastic particles behave in our body, whether they clump or spread out, could affect how they travel through blood and tissues, an important step in understanding their health risks.
Rethinking peptide developability with sequence-only models: interpretable screening of microplastic-binding peptides with gated query pooling.
AI summary Read the abstract
Scientists are designing tiny protein snippets (peptides) that can grab onto microplastics, potentially helping filter them out of water or our bodies—but these peptides need to be safe, not cause blood cell damage, and actually dissolve in water to be useful. This study created a smarter computer model that predicts, just from a peptide's chemical sequence, whether it's likely to be safe and practical, achieving high accuracy without needing expensive lab tests upfront. This matters because it speeds up the search for microplastic-fighting peptides that could one day help reduce our exposure to these pervasive pollutants, while flagging that ke
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.