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Efficient identification of drug mechanisms of action remains a challenge. Computational docking approaches have been widely used to predict drug binding targets; yet, such approaches depend on existing protein structures, and accurate structural predictions have only recently become available from AlphaFold2. Here, we combine AlphaFold2 with molecular docking simulations to predict protein‐ligand interactions between 296 proteins spanning Escherichia coli 's essential proteome, and 218 active antibacterial compounds and 100 inactive compounds, respectively, pointing to widespread compound and protein promiscuity. We benchmark model performance by measuring enzymatic activity for 12 essential proteins treated with each antibacterial compound. We confirm extensive promiscuity, but find that the average area under the receiver operating characteristic curve (auROC) is 0.48, indicating weak model performance. We demonstrate that rescoring of docking poses using machine learning‐based approaches improves model performance, resulting in average auROCs as large as 0.63, and that ensembles of rescoring functions improve prediction accuracy and the ratio of true‐positive rate to false‐positive rate. This work indicates that advances in modeling protein‐ligand interactions, particularly using machine learning‐based approaches, are needed to better harness AlphaFold2 for drug discovery. Synopsis Assessing molecular docking simulations based on AlphaFold2‐predicted structures with high‐throughput measurements of protein‐ligand interactions reveals weak model performance. Machine learning‐based approaches improve performance and better harness AlphaFold2 for drug discovery. AlphaFold2‐based molecular docking predictions for 296 Escherichia coli proteins, 218 active antibacterial compounds and 100 inactive compounds predict widespread promiscuity and similar distributions of binding affinities between active and inactive compounds. Quantitative enzymatic inhibition assays for 12 essential E. coli proteins treated with each of the 218 antibacterial compounds confirm extensive promiscuity. The enzymatic inhibition dataset reveals that the performance of the molecular docking model is weak. Rescoring of docking poses using machine learning‐based scoring functions improves model performance. Graphical Abstract Assessing molecular docking simulations based on AlphaFold2‐predicted structures with high‐throughput measurements of protein‐ligand interactions reveals weak model performance. Machine learning‐based approaches improve performance and better harness AlphaFold2 for drug discovery.

Accurately modeling the structures of proteins and their complexes using artificial intelligence is revolutionizing molecular biology. Experimental data enable a candidate‐based approach to systematically model novel protein assemblies. Here, we use a combination of in‐cell crosslinking mass spectrometry and co‐fractionation mass spectrometry (CoFrac‐MS) to identify protein–protein interactions in the model Gram‐positive bacterium Bacillus subtilis . We show that crosslinking interactions prior to cell lysis reveals protein interactions that are often lost upon cell lysis. We predict the structures of these protein interactions and others in the Subti Wiki database with AlphaFold‐Multimer and, after controlling for the false‐positive rate of the predictions, we propose novel structural models of 153 dimeric and 14 trimeric protein assemblies. Crosslinking MS data independently validates the AlphaFold predictions and scoring. We report and validate novel interactors of central cellular machineries that include the ribosome, RNA polymerase, and pyruvate dehydrogenase, assigning function to several uncharacterized proteins. Our approach uncovers protein–protein interactions inside intact cells, provides structural insight into their interaction interfaces, and is applicable to genetically intractable organisms, including pathogenic bacteria. Synopsis An integrative approach using crosslinking mass spectrometry (MS), co‐fractionation MS and Alphafold‐Multimer discovers novel protein complexes and their topologies in the model gram‐positive bacterium Bacillus subtillis. Crosslinking mass spectrometry and co‐fractionation mass spectrometry identify protein interactions from intact cells. AlphaFold‐Multimer confidently predicts the structure of dimeric complexes which can be validated with crosslinks. The binding site of YneR on the E1 subunit of the pyruvate dehydrogenase complex identifies it as an inhibitor of pyruvate dehydrogenase activity, PdhI. The approach can assign structure, function, and interactors of uncharacterized proteins in whole cells without requiring genetic manipulation. Graphical Abstract An integrative approach using crosslinking mass spectrometry (MS), co‐fractionation MS, and AlphaFold‐Multimer discovers novel protein complexes and their topologies in the model Gram‐positive bacterium Bacillus subtillis .

Heterodimeric integrin adhesion receptors regulate cell migration, survival and differentiation in metazoa by communicating signals bi‐directionally across the plasma membrane. Protein engineering and mutagenesis studies have suggested that the dissociation of a complex formed by the single‐pass transmembrane (TM) segments of the α and β subunits is central to these signalling events. Here, we report the structure of the integrin αIIbβ3 TM complex, structure‐based site‐directed mutagenesis and lipid embedding estimates to reveal the structural event that underlies the transition from associated to dissociated states, that is, TM signalling. The complex is stabilized by glycine‐packing mediated TM helix crossing within the extracellular membrane leaflet, and by unique hydrophobic and electrostatic bridges in the intracellular leaflet that mediate an unusual, asymmetric association of the 24‐ and 29‐residue αIIb and β3 TM helices. The structurally unique, highly conserved integrin αIIbβ3 TM complex rationalizes bi‐directional signalling and represents the first structure of a heterodimeric TM receptor complex.

Mutations in the protein Parkin are associated with Parkinson's disease (PD), the second most common neurodegenerative disease in men. Parkin is an E3 ubiquitin (Ub) ligase of the structurally uncharacterized RING‐in‐between‐RING(IBR)‐RING (RBR) family, which, in an HECT‐like fashion, forms a catalytic thioester intermediate with Ub. We here report the crystal structure of human Parkin spanning the Unique Parkin domain (UPD, also annotated as RING0) and RBR domains, revealing a tightly packed structure with unanticipated domain interfaces. The UPD adopts a novel elongated Zn‐binding fold, while RING2 resembles an IBR domain. Two key interactions keep Parkin in an autoinhibited conformation. A linker that connects the IBR with the RING2 over a 50‐Å distance blocks the conserved E2∼Ub binding site of RING1. RING2 forms a hydrophobic interface with the UPD, burying the catalytic Cys431, which is part of a conserved catalytic triad. Opening of intra‐domain interfaces activates Parkin, and enables Ub‐based suicide probes to modify Cys431. The structure further reveals a putative phospho‐peptide docking site in the UPD, and explains many PD‐causing mutations. The complete structural view of a RING‐IBR‐RING (RBR) ubiquitin ligase domain reveals an unexpected catalytic triad and explains the effects of various Parkin mutations underlying Parkinson's disease.

Mutations in isocitrate dehydrogenases (IDHs) have a gain‐of‐function effect leading to R (−)‐2‐hydroxyglutarate ( R‐ 2HG) accumulation. By using biochemical, structural and cellular assays, we show that either or both R ‐ and S ‐2HG inhibit 2‐oxoglutarate (2OG)‐dependent oxygenases with varying potencies. Half‐maximal inhibitory concentration (IC 50 ) values for the R ‐form of 2HG varied from approximately 25 μM for the histone N ε ‐lysine demethylase JMJD2A to more than 5 mM for the hypoxia‐inducible factor (HIF) prolyl hydroxylase. The results indicate that candidate oncogenic pathways in IDH‐associated malignancy should include those that are regulated by other 2OG oxygenases than HIF hydroxylases, in particular those involving the regulation of histone methylation. The oncometabolite 2‐hydroxyglutarate (2‐HG) inhibits chromatin‐modifying oxygenases (as histone lysine demethylases) with greater potency than HIF hydroxylases. This suggests that 2‐HG‐associated oncogenic pathways involve the regulation of histone methylation, rather than an elevated HIF response.

The bacterial flagellum is one of nature's most amazing and well‐studied nanomachines. Its cell‐wall‐anchored motor uses chemical energy to rotate a microns‐long filament and propel the bacterium towards nutrients and away from toxins. While much is known about flagellar motors from certain model organisms, their diversity across the bacterial kingdom is less well characterized, allowing the occasional misrepresentation of the motor as an invariant, ideal machine. Here, we present an electron cryotomographical survey of flagellar motor architectures throughout the Bacteria. While a conserved structural core was observed in all 11 bacteria imaged, surprisingly novel and divergent structures as well as different symmetries were observed surrounding the core. Correlating the motor structures with the presence and absence of particular motor genes in each organism suggested the locations of five proteins involved in the export apparatus including FliI, whose position below the C‐ring was confirmed by imaging a deletion strain. The combination of conserved and specially‐adapted structures seen here sheds light on how this complex protein nanomachine has evolved to meet the needs of different species. A comprehensive electron cryotomographical survey of bacterial flagellar motors reveals the existence of a conserved structural core that is surrounded by a divergent set of novel structural features. Key proteins of the flagellar export apparatus can now be localized within the motor.

Adenosine diphosphate (ADP)‐ribosylation is a post‐translational protein modification implicated in the regulation of a range of cellular processes. A family of proteins that catalyse ADP‐ribosylation reactions are the poly(ADP‐ribose) (PAR) polymerases (PARPs). PARPs covalently attach an ADP‐ribose nucleotide to target proteins and some PARP family members can subsequently add additional ADP‐ribose units to generate a PAR chain. The hydrolysis of PAR chains is catalysed by PAR glycohydrolase (PARG). PARG is unable to cleave the mono(ADP‐ribose) unit directly linked to the protein and although the enzymatic activity that catalyses this reaction has been detected in mammalian cell extracts, the protein(s) responsible remain unknown. Here, we report the homozygous mutation of the c6orf130 gene in patients with severe neurodegeneration, and identify C6orf130 as a PARP‐interacting protein that removes mono(ADP‐ribosyl)ation on glutamate amino acid residues in PARP‐modified proteins. X‐ray structures and biochemical analysis of C6orf130 suggest a mechanism of catalytic reversal involving a transient C6orf130 lysyl‐(ADP‐ribose) intermediate. Furthermore, depletion of C6orf130 protein in cells leads to proliferation and DNA repair defects. Collectively, our data suggest that C6orf130 enzymatic activity has a role in the turnover and recycling of protein ADP‐ribosylation, and we have implicated the importance of this protein in supporting normal cellular function in humans. Crystal structure and biochemical data reveal a gene mutated in patients with severe neurodegeneration to encode an elusive enzyme for removing ADP‐ribose from proteins.

Short chain peptides are actively transported across membranes as an efficient route for dietary protein absorption and for maintaining cellular homeostasis. In mammals, peptide transport occurs via PepT1 and PepT2, which belong to the proton‐dependent oligopeptide transporter, or POT family. The recent crystal structure of a bacterial POT transporter confirmed that they belong to the major facilitator superfamily of secondary active transporters. Despite the functional characterization of POT family members in bacteria, fungi and mammals, a detailed model for peptide recognition and transport remains unavailable. In this study, we report the 3.3‐Å resolution crystal structure and functional characterization of a POT family transporter from the bacterium Streptococcus thermophilus . Crystallized in an inward open conformation the structure identifies a hinge‐like movement within the C‐terminal half of the transporter that facilitates opening of an intracellular gate controlling access to a central peptide‐binding site. Our associated functional data support a model for peptide transport that highlights the importance of salt bridge interactions in orchestrating alternating access within the POT family. Proton‐dependent oligopeptide transporters are required for the uptake of diet‐derived peptides in all kingdoms of life. The crystal structure of a bacterial transporter in the inward open conformation, together with a published structure in an occluded conformation, reveals the peptide transport mechanism.

Kinetochores are large protein assemblies built on chromosomal loci named centromeres. The main functions of kinetochores can be grouped under four modules. The first module, in the inner kinetochore, contributes a sturdy interface with centromeric chromatin. The second module, the outer kinetochore, contributes a microtubule‐binding interface. The third module, the spindle assembly checkpoint, is a feedback control mechanism that monitors the state of kinetochore–microtubule attachment to control the progression of the cell cycle. The fourth module discerns correct from improper attachments, preventing the stabilization of the latter and allowing the selective stabilization of the former. In this review, we discuss how the molecular organization of the four modules allows a dynamic integration of kinetochore–microtubule attachment with the prevention of chromosome segregation errors and cell‐cycle progression.

We report the structure of an integrin with an αI domain, α X β 2 , the complement receptor type 4. It was earlier expected that a fixed orientation between the αI domain and the β‐propeller domain in which it is inserted would be required for allosteric signal transmission. However, the αI domain is highly flexible, enabling two βI domain conformational states to couple to three αI domain states, and greater accessibility for ligand recognition. Although α X β 2 is bent similarly to integrins that lack αI domains, the terminal domains of the α‐ and β‐legs, calf‐2 and β‐tail, are oriented differently than in αI‐less integrins. Linkers extending to the transmembrane domains are unstructured. Previous mutations in the β 2 ‐tail domain support the importance of extension, rather than a deadbolt, in integrin activation. The locations of further activating mutations and antibody epitopes show the critical role of extension, and conversion from the closed to the open headpiece conformation, in integrin activation. Differences among 10 molecules in crystal lattices provide unprecedented information on interdomain flexibility important for modelling integrin extension and activation.