Metavalent Bonds in Dimers of Metallic Elements within Biomacromolecules

Metallic homonuclear dimers exist in diverse forms, including as parts of biomacromolecular structures. The aim of this study was to identify all metallic elements forming such dimers in the Protein Data Bank (PDB), to rationalise dimer structure and bonding using various structural descriptors and statistical methods, and to support new findings with two additional studies on silver and potassium clusters. In total, 31 metals were identified as forming 565 dimers in crystal structures of biomacromolecules: s-block metals (Li, Na, Mg, K, Ca, Rb. Sr, Cs and Ba), transition metals (V, Mn, Fe, Co, Ni, Cu, Zn, Mo, Ru, Rh, Pd, Ag, Cd, Au and Hg), p -block metals (Ga, Tl and Pb), and lanthanides (La, Eu, Dy and Ho). These findings strongly suggest that any metal can form dimers within biomacromolecules. The identified dimers exhibit metavalent, or borderline metavalent/covalent, or metavalent/metallic bonding. In the PDB and other structural databases and literature sources, 761 silver clusters of all sizes were identified and analysed in terms of bonds per atom – bond length deviation relationship. Metavalent bonds or borderline metavalent/covalent or metavalent/metallic bonds exist in silver dimers and smaller clusters, whereas metallic bonding is predominant in larger clusters. Such or similar behaviour is expected for other metals. Partial atomic charge – radius relationship for 515 potassium clusters, from the PDB and other databases and sources, indicates that potassium dimers in biomacromolecules exhibit metavalent bonds or at least borderline metavalent/covalent or metavalent/metallic bonds, as demonstrated by the transferred electrons – shared electrons scatterplot. This behaviour is highly probable in other metals as well.

Authors

Publication Details

Journal
Kemija u industriji
Published
2025-01-01
DOI
https://doi.org/10.15255/kui.2024.036
Primary Topic
Inorganic and Organometallic Chemistry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metavalent Bonds in Dimers of Metallic Elements within Biomacromolecules

Rudolf Kiralj
Kemija u industriji
Inorganic and Organometallic Chemistry
article

Metavalent Bonds in Dimers of Metallic Elements within Biomacromolecules

Rudolf Kiralj
article en

Abstract

Metallic homonuclear dimers exist in diverse forms, including as parts of biomacromolecular structures. The aim of this study was to identify all metallic elements forming such dimers in the Protein Data Bank (PDB), to rationalise dimer structure and bonding using various structural descriptors and statistical methods, and to support new findings with two additional studies on silver and potassium clusters. In total, 31 metals were identified as forming 565 dimers in crystal structures of biomacromolecules: s-block metals (Li, Na, Mg, K, Ca, Rb. Sr, Cs and Ba), transition metals (V, Mn, Fe, Co, Ni, Cu, Zn, Mo, Ru, Rh, Pd, Ag, Cd, Au and Hg), p -block metals (Ga, Tl and Pb), and lanthanides (La, Eu, Dy and Ho). These findings strongly suggest that any metal can form dimers within biomacromolecules. The identified dimers exhibit metavalent, or borderline metavalent/covalent, or metavalent/metallic bonding. In the PDB and other structural databases and literature sources, 761 silver clusters of all sizes were identified and analysed in terms of bonds per atom – bond length deviation relationship. Metavalent bonds or borderline metavalent/covalent or metavalent/metallic bonds exist in silver dimers and smaller clusters, whereas metallic bonding is predominant in larger clusters. Such or similar behaviour is expected for other metals. Partial atomic charge – radius relationship for 515 potassium clusters, from the PDB and other databases and sources, indicates that potassium dimers in biomacromolecules exhibit metavalent bonds or at least borderline metavalent/covalent or metavalent/metallic bonds, as demonstrated by the transferred electrons – shared electrons scatterplot. This behaviour is highly probable in other metals as well.

Kemija u industrijiVol. 74(3-4)
Openalex Percentile: Top 96%
Inorganic and Organometallic Chemistry
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.