Structural Diversity and Dynamics of Human Three-Finger Proteins Acting on Nicotinic Acetylcholine Receptors.
Alexander S ParamonovMilita V KocharovskayaAndrey V TsarevDmitrii S KulbatskiiEugene V LoktyushovMikhail A ShulepkoMikhail P KirpichnikovEkaterina N LyukmanovaZakhar O ShenkarevPublished in: International journal of molecular sciences (2020)
Ly-6/uPAR or three-finger proteins (TFPs) contain a disulfide-stabilized β-structural core and three protruding loops (fingers). In mammals, TFPs have been found in epithelium and the nervous, endocrine, reproductive, and immune systems. Here, using heteronuclear NMR, we determined the three-dimensional (3D) structure and backbone dynamics of the epithelial secreted protein SLURP-1 and soluble domains of GPI-anchored TFPs from the brain (Lynx2, Lypd6, Lypd6b) acting on nicotinic acetylcholine receptors (nAChRs). Results were compared with the data about human TFPs Lynx1 and SLURP-2 and snake α-neurotoxins WTX and NTII. Two different topologies of the β-structure were revealed: one large antiparallel β-sheet in Lypd6 and Lypd6b, and two β-sheets in other proteins. α-Helical segments were found in the loops I/III of Lynx2, Lypd6, and Lypd6b. Differences in the surface distribution of charged and hydrophobic groups indicated significant differences in a mode of TFPs/nAChR interactions. TFPs showed significant conformational plasticity: the loops were highly mobile at picosecond-nanosecond timescale, while the β-structural regions demonstrated microsecond-millisecond motions. SLURP-1 had the largest plasticity and characterized by the unordered loops II/III and cis-trans isomerization of the Tyr39-Pro40 bond. In conclusion, plasticity could be an important feature of TFPs adapting their structures for optimal interaction with the different conformational states of nAChRs.
Keyphrases
- endothelial cells
- molecular dynamics simulations
- molecular dynamics
- high resolution
- magnetic resonance
- single molecule
- machine learning
- pluripotent stem cells
- white matter
- single cell
- electronic health record
- multiple sclerosis
- big data
- brain injury
- artificial intelligence
- amino acid
- subarachnoid hemorrhage
- solid state
- electron transfer