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The complexes are also subdivided into rigid, medium and hard complexes, based on the conformational change upon complexation.
Liu et al. [ 4] presented a method called CMC (Clustering-based on Maximal Cliques) which also identifies protein complexes based on maximal cliques.
Besides these density-based algorithms, there are some algorithms available to detect protein complexes based on other topological structure.
Here, we present a reversible electropolymerization of nickel azopyridine (azpy) complexes based on the redox-controlled diimine ligand exchange reaction.
Lithium bis trifluoromethane sulphone)imide, LiTFSI, complexes based on pristine POE and modified POE were prepared.
These complexes have recently been further subdivided into a series of complexes based on the presence of unique accessory proteins: PRC1.1-1.6 and PRC2.1/2.25,6,7.
Octahedral geometry is assigned to all the complexes based on the physical and spectral data.
A number of unreported zinc complexes based on tridentate O,N,O-type half-Salen ligands were prepared.
A series of mono Schiff-base M II) (M = Ni, Pd, Pt) complexes based on the crystal data are designed.
Two recent papers describe near-complete atomic structures of these complexes based on cryoEM single-particle analysis.
We have developed novel inert and stable erbium (Er)(III -cored complexes based on metalloporphyrIII -coredticomplexesfication.
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