Deep learning for protein interactions
The use of deep learning has revolutionized the field of protein modeling. Humphreys
et al
. combined this approach with proteome-wide, coevolution-guided protein interaction identification to conduct a large-scale screen of protein-protein interactions in yeast (see the Perspective by Pereira and Schwede). The authors generated predicted interactions and accurate structures for complexes spanning key biological processes in
Saccharomyces cerevisiae
. The complexes include larger protein assemblies such as trimers, tetramers, and pentamers and provide insights into biological function. —VV
Big molecules build small
Actinomycete bacteria are prolific producers of bioactive small molecules such as polyketide antibiotics. These molecules are built by the addition of short carbon units to a growing, protein-tethered chain, either iteratively as in fatty acid synthesis or in a modular fashion by a hand-off from one distinct enzyme complex to the next. Bagde
et al
. and Cogan
et al
. report structures of polyketide synthase modules in action, taking advantage of antibody stabilization of one of the domains. Both groups visualized multiple conformational states and an asymmetric arrangement of domains, providing insight into how these molecular assembly machines transfer substrates from one active site to another. —MAF
Rab1 and Rab11 are essential regulators of the eukaryotic secretory and endocytic recycling pathways. The transport protein particle (TRAPP) complexes activate these guanosine triphosphatases via nucleotide exchange using a shared set of core subunits. The basal specificity of the TRAPP core is toward Rab1, yet the TRAPPII complex is specific for Rab11. A steric gating mechanism has been proposed to explain TRAPPII counterselection against Rab1. Here, we present cryo–electron microscopy structures of the 22-subunit TRAPPII complex from budding yeast, including a TRAPPII-Rab11 nucleotide exchange intermediate. The Trs130 subunit provides a “leg” that positions the active site distal to the membrane surface, and this leg is required for steric gating. The related TRAPPIII complex is unable to activate Rab11 because of a repulsive interaction, which TRAPPII surmounts using the Trs120 subunit as a “lid” to enclose the active site. TRAPPII also adopts an open conformation enabling Rab11 to access and exit from the active site chamber.
MreB, the bacterial ancestor of eukaryotic actin, is responsible for shape in most rod-shaped bacteria. Despite belonging to the actin family, the relevance of nucleotide-driven polymerization dynamics for MreB function is unclear. Here, we provide insights into the effect of nucleotide state on membrane binding of Spiroplasma citri MreB5 (ScMreB5). Filaments of ScMreB5WT and an ATPase-deficient mutant, ScMreB5E134A, assemble independently of the nucleotide state. However, capture of the filament dynamics revealed that efficient filament formation and organization through lateral interactions are affected in ScMreB5E134A. Hence, the catalytic glutamate functions as a switch, (a) by sensing the ATP-bound state for filament assembly and (b) by assisting hydrolysis, thereby potentially triggering disassembly, as observed in other actins. Glu134 mutation and the bound nucleotide exhibit an allosteric effect on membrane binding, as observed from the differential liposome binding. We suggest that the conserved ATP-dependent polymerization and disassembly upon ATP hydrolysis among actins has been repurposed in MreBs for modulating filament organization on the membrane.
Viral macrodomains,
which can bind to and/or hydrolyze adenine
diphosphate ribose (ADP-ribose or ADPr) from proteins, have been suggested
to counteract host immune response and be viable targets for the development
of antiviral drugs. Therefore, developing high-throughput screening
(HTS) techniques for macrodomain inhibitors is of great interest.
Herein, using a novel tracer TAMRA-ADPr, an ADP-ribose
compound conjugated with tetramethylrhodamine, we developed a robust
fluorescence polarization assay for various viral and human macrodomains
including SARS-CoV-2 Macro1, VEEV Macro, CHIKV Macro, human MacroD1,
MacroD2, and PARP9 Macro2. Using this assay, we validated Z8539 (IC50 6.4 μM) and GS441524 (IC50 15.2 μM), two literature-reported small-molecule inhibitors
of SARS-CoV-2 Macro1. Our data suggest that GS441524 is
highly selective for SARS-CoV-2 Macro1 over other human and viral
macrodomains. Furthermore, using this assay, we identified pNP-ADPr (ADP-ribosylated p-nitrophenol, IC50 370 nM) and TFMU-ADPr (ADP-ribosylated trifluoromethyl
umbelliferone, IC50 590 nM) as the most potent SARS-CoV-2
Macro1 binders reported to date. An X-ray crystal structure of SARS-CoV-2
Macro1 in complex with TFMU-ADPr revealed how the TFMU moiety contributes
to the binding affinity. Our data demonstrate that this fluorescence
polarization assay is a useful addition to the HTS methods for the
identification of macrodomain inhibitors.
Cellular membranes contain numerous lipid species, and efforts to understand the biological functions of individual lipids have been stymied by a lack of approaches for controlled modulation of membrane composition in situ. Here, we present a strategy for editing phospholipids, the most abundant lipids in biological membranes. Our membrane editor is based upon a bacterial phospholipase D (PLD), which exchanges phospholipid head groups through hydrolysis or transphosphatidylation of phosphatidylcholine with water or exogenous alcohols. Exploiting activity-dependent directed enzyme evolution in mammalian cells, we developed and structurally characterized a family of "superPLDs" with up to 100-fold higher activity than wildtype PLD. We demonstrated the utility of superPLDs for both optogenetics-enabled editing of phospholipids within specific organelle membranes in live cells and biocatalytic synthesis of natural and unnatural designer phospholipids in vitro. Beyond the superPLDs, activity-based directed enzyme evolution in mammalian cells is a generalizable approach to engineer additional chemoenzymatic biomolecule editors.
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