It is concluded that the early emergence of the Rossmann fold reflects the chemical and physical constraints of protein folding, explaining both its profound antiquity and sustained longevity.
Koh Seya, Tatsuya Corlett, Hamza Giaffar et al.· bioRxiv· 0 citations
The cryo-electron microscopy structure of the full-length human VPS4B hexamer in six-membered helical “spiral staircase” states suggests a mechanism for substrate-dependent hexamerization and priming of VPS4 for its ESCRT-III remodeling activity.
James H. Hurley, Yu-Chao Zhang, Shuixia Tan et al.· Research Square· 0 citations
Findings expand the known sequence and chemical space of the GFP barrel, although the biochemical function of the network remains unknown, and identify the same two-cation/two-anion/tyrosine network in 238 members of DUF2490, an unrelated outer-membrane beta-barrel family consistent with convergent evolution of the bur...
Analysis of oligomeric organization and structural plasticity of the periplasmic domain of polar-flagellum FliL from Vibrio alginolyticus and compared with detergent-solubilized full-length pofFliL suggests that such plasticity enables FliL to act as an adaptable scaffold for stator engagement and mechanosensitive remo...
Tatsuro Nishikino, N. Takekawa, Raymond N. Burton-Smith et al.· Molecular Microbiology· 0 citations
It is shown that GeoA cargo loading is mediated by repeating, short cargo loading peptides (CLPs), and that GeoA encapsulation provides benefits for enzyme activity and stability, and provides insights into a putative mode of cargo protein regulation via pore state modulation.
A. Fazal, Cassandra A. Dutcher, Michael P. Andreas et al.· bioRxiv· 0 citations
High-resolution cryo-EM structures of naturally occurring dimeric PSII intermediates from the cyanobacterium Thermosynechococcus vestitus are reported, revealing structural changes associated with Mn cluster assembly and disassembly.
Ziyu Zhao, I. Vercellino, Julian P. Whitelegge et al.· Nature Communications· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.