Metal-α-Helix Peptide Frameworks

Metal-peptide frameworks (MPFs) are a growing class of metal-organic frameworks with promising applications in metalloprotein mimicry, chiral separations, and catalysis. There are limited examples of MPFs, especially those with both secondary structure and natural amino acid side chains that coordinate to metal nodes, which are important for accurately mimicking metalloprotein active sites. Here, we design a robust and modular strategy based on short α-helical peptides (nine amino acids long) to form frameworks with many types of biomimetic metal sites. Peptides were designed to have Glu and His metal-binding residues, hydrophobic residues, and noncanonical helix-enforcing residues. With Co(II), it was shown that mutagenesis of a single amino acid near the metal-binding residues generates a diverse library of frameworks with varying metal node coordination geometries and compositions. Structures for 16 out of 20 variants were characterized by single-crystal X-ray diffraction, revealing how noncovalent interactions impact the metal primary sphere. In one case, a point mutation turns on reversible ligand-triggered conformational changes, demonstrating that this platform allows for dynamic behavior like that observed in metalloproteins. Furthermore, we show that frameworks readily assemble with Mn(II), Fe(II), Cu(II), and Zn(II) ions, highlighting the generality of this approach. The ease-of-synthesis, modularity, and crystallinity of these materials make this a highly accessible platform for studying and engineering biomimetic metal centers in porous materials.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2025-05-06
DOI
https://doi.org/10.1021/jacs.5c04078
Citations
10
Primary Topic
Metalloenzymes and iron-sulfur proteins
Type
article
Field-Weighted Citation Impact
3.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metal-α-Helix Peptide Frameworks

Andy I. Nguyen, J.S. Brunzelle, Julia Oktawiec, Viet Thuc Dang et al.
10 citations
Journal of the American Chemical Society
Metalloenzymes and iron-sulfur proteins
3.63
article

Metal-α-Helix Peptide Frameworks

Andy I. Nguyen, J.S. Brunzelle, Julia Oktawiec, Viet Thuc Dang, Sabari Ghosh, Ronnie Richardson-Matthews, Kateryna Velko, Bitan Bhunia
article en
10 citations

Abstract

Metal-peptide frameworks (MPFs) are a growing class of metal-organic frameworks with promising applications in metalloprotein mimicry, chiral separations, and catalysis. There are limited examples of MPFs, especially those with both secondary structure and natural amino acid side chains that coordinate to metal nodes, which are important for accurately mimicking metalloprotein active sites. Here, we design a robust and modular strategy based on short α-helical peptides (nine amino acids long) to form frameworks with many types of biomimetic metal sites. Peptides were designed to have Glu and His metal-binding residues, hydrophobic residues, and noncanonical helix-enforcing residues. With Co(II), it was shown that mutagenesis of a single amino acid near the metal-binding residues generates a diverse library of frameworks with varying metal node coordination geometries and compositions. Structures for 16 out of 20 variants were characterized by single-crystal X-ray diffraction, revealing how noncovalent interactions impact the metal primary sphere. In one case, a point mutation turns on reversible ligand-triggered conformational changes, demonstrating that this platform allows for dynamic behavior like that observed in metalloproteins. Furthermore, we show that frameworks readily assemble with Mn(II), Fe(II), Cu(II), and Zn(II) ions, highlighting the generality of this approach. The ease-of-synthesis, modularity, and crystallinity of these materials make this a highly accessible platform for studying and engineering biomimetic metal centers in porous materials.

Journal of the American Chemical SocietyVol. 147(20)
University of Illinois Chicago (US)
National Institute of General Medical Sciences
Openalex Percentile: Top 7%
Metalloenzymes and iron-sulfur proteins
3.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.