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Lindahl, E.

Publications and source records attributed to Lindahl, E..

44 records · Page 3Linked to original sources

A blueprint for high affinity SARS-CoV-2 Mpro inhibitors from activity-based compound library screening guided by analysis of protein dynamics

The SARS-CoV-2 coronavirus outbreak continues to spread at a rapid rate worldwide. The main protease (Mpro) is an attractive target for anti-COVID-19 agents. Unfortunately, unexpected difficulties have been encountered in the design of specific inhibitors. Here, by analyzing an ensemble of ~30,000 SARS-CoV-2 Mpro conformations from crystallographic studies and molecular simulations, we show that small structural variations in the binding site dramatically impact ligand binding properties. Hence, traditional druggability indices fail to adequately discriminate between highly and poorly druggable conformations of the binding site. By performing ~200 virtual screenings of compound libraries on selected protein structures, we redefine the proteins druggability as the consensus chemical space arising from the multiple conformations of the binding site formed upon ligand binding. This procedure revealed a unique SARS-CoV-2 Mpro blueprint that led to a definition of a specific structure-based pharmacophore. The latter explains the poor transferability of potent SARS-CoV Mpro inhibitors to SARS-CoV-2 Mpro, despite the identical sequences of the active sites. Importantly, application of the pharmacophore predicted novel high affinity inhibitors of SARS-CoV-2 Mpro, that were validated by in vitro assays performed here and by a newly solved X-ray crystal structure. These results provide a strong basis for effective rational drug design campaigns against SARS-CoV-2 Mpro and a new computational approach to screen protein targets with malleable binding sites.

biophysics↗

Assembly and symmetry of the fungal E3BP-containing core of the Pyruvate Dehydrogenase Complex

The pyruvate dehydrogenase complex (PDC) is a central component of all aerobic respiration, connecting glycolysis to mitochondrial oxidation of pyruvate. Despite its central metabolic role, its precise composition and means of regulation remain unknown. To explain the variation in stoichiometry reported for the E3-recruiting protein X (PX) in the fungal PDC, we established cryo-EM reconstructions of the native and recombinant PDC from the filamentous fungus and model organism Neurospora crassa. We find that the PX C-terminal domain localizes interior to the E2 core. Critically, we show that two distinct arrangements of a trimeric oligomer exists, which both result in strict tetrahedral symmetry of the PDC core interior. Both oligomerization and volume occlusion of the PDC interior by PX appears to limit its binding stoichiometry, which explains the variety of stoichiometries found previously for S. cerevisiae. This also suggests that the PX oligomer stability and size are potential mechanisms to dynamically adjust PDC compostion in response to external cues. Moreover, we find that the site where PX binds is conserved within fungi but not mammals, suggesting that it could be therapeutically targeted. To this end, we also show that a PX knockout results in loss of activity through dysfunctional E3 recruitment, leading to severely impaired N. crassa growth on sucrose. The fungal PDC is thus shown to be fundamentally similar to the mammalian PDC in function but subject to other conditions of possible regulation, conditioned by a steric restrictions imposed by the symmetry of the PDC and its components.

molecular biology↗

Characterization of the dynamic resting state of a pentameric ligand-gated ion channel by cryo-electron microscopy and simulations

Ligand-gated ion channels are critical mediators of electrochemical signal transduction across evolution. Biophysical and pharmacological development in this family relies on high-quality structural data in multiple, subtly distinct functional states. However, structural data remain limited, particularly for the unliganded or resting state. Here we report cryo-electron microscopy structures of the Gloeobacter violaceus ligand-gated ion channel (GLIC) under resting and activating conditions (neutral and low pH). Parallel models were built either manually or using recently developed density-guided molecular simulations. The moderate resolution of resting-state reconstructions, particularly in the extracellular domain, was improved under activating conditions, enabling the visualization of residues at key subunit interfaces including loops B, C, F, and M2-M3. Combined with molecular dynamics simulations, the cryo-electron microscopy structures at different pH describe a heterogeneous population of closed channels, with activating conditions condensing the closed-channel energy landscape on a pathway towards gating.

biophysics↗

Bacterial protein domains with a novel Ig-like fold bind human CEACAM receptors

Streptococcus agalactiae, also known as group B Streptococcus (GBS), is the major cause of neonatal sepsis in humans. A critical step to infection is adhesion of bacteria at mucosal surfaces. Though several GBS adhesins have been identified, the host receptor targets of these adhesins remain unknown. We report here that surface-expressed {beta} protein from GBS binds to human CEACAM1 and CEACAM5 receptors. A crystal structure of the complex showed that the IgSF domain in {beta} represents a novel Ig-fold subtype called IgI3, in which unique features allow binding to CEACAM1. Bioinformatic assessments revealed that this newly identified IgI3 fold is not exclusively present in GBS. Instead, the IgI3 fold is predicted to be present in adhesins from other clinically important human pathogens. We confirmed the interaction between CEACAM1 and the predicted IgI3-containing adhesin in two different streptococcal pathogens. Overall, our results indicate that the IgI3 fold could provide a broadly applied mechanism for bacteria to target CEACAMs.

microbiology↗

Structural basis for the increased processivity of D-family DNA polymerases in complex with PCNA

Replicative DNA polymerases (DNAPs) have evolved the ability to copy the genome with high processivity and fidelity. In Eukarya and Archaea, the processivity of replicative DNAPs is greatly enhanced by its binding to the proliferative cell nuclear antigen (PCNA) that encircles the DNA. We determined the cryo-EM structure of the DNA-bound PolD-PCNA complex from Pyrococcus abyssi at 3.77[A]. Using an integrative structural biology approach - combining cryo-EM, X-ray crystallography and protein-protein interaction measurements - we describe the molecular basis for the interaction and cooperativity between a replicative DNAP and PCNA with an unprecedented level of detail. PolD recruits PCNA via a complex mechanism, which requires two different PIP-boxes. We infer that the second PIP-box, which is shared with the eukaryotic Pol replicative DNAP, plays a dual role in binding either PCNA or primase, and could be a master switch between an initiation phase and a processive phase during replication.

biochemistry↗

RELION-3: new tools for automated high-resolution cryo-EM structure determination

Here, we describe the third major release of relion. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Perparticle refinement of CTF parameters and correction of estimated beam tilt provides higher-resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2-0.7 [A] compared to previous relion versions.

biophysics↗

Molecular basis for voltage sensitivity in membrane proteins

Voltage-sensitive membrane proteins are united by the ability to transform changes in the membrane potential into mechanical work. They are responsible for a spectrum of key physiological processes in living organisms, including electric signaling and progression along the cell cycle. While the voltage-sensing mechanism has been well characterized for some membrane proteins such as voltage-gated ion channels, for others even the location of the voltage-sensing elements remains unknown. The detection of these elements using experimental techniques is complicated due to the large diversity of membrane proteins. Here, we suggest a computational approach to predict voltage-sensing elements in any membrane protein independent of structure or function. It relies on the estimation of the capacity of a protein to respond to changes in the membrane potential. We first show how this property correlates well with voltage sensitivity by applying our approach to a set of membrane proteins including voltage-sensitive and voltage-insensitive ones. We further show that it correctly identifies true voltage-sensitive residues in the voltage sensor domain of voltage-gated ion channels. Finally, we investigate six membrane proteins for which the voltage-sensing elements have not yet been characterized and identify residues and ions potentially involved in the response to voltage. The suggested approach is fast and simple and allows for characterization of voltage sensitivity that goes beyond mere identification of charges. We anticipate that its application prior to mutagenesis experiments will allow for significant reduction of the number of potential voltage-sensitive elements to be tested.

biophysics↗

Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION

Macromolecular complexes that exhibit continuous forms of structural flexibility pose a challenge for many existing tools in cryo-EM single-particle analysis. We describe a new tool, called multi-body refinement, which models flexible complexes as a user-defined number of rigid bodies that move independently from each other. Using separate focused refinements with iteratively improved partial signal subtraction, the new tool generates improved reconstructions for each of the defined bodies in a fully automated manner. Moreover, using principal component analysis on the relative orientations of the bodies over all particles in the data set, we generate movies that describe the most important motions in the data. Our results on two test cases, a cytoplasmic ribosome from Plasmodium falciparum, and the spliceosomal B-complex from yeast, illustrate how multi-body refinement can be useful to gain unique insights into the structure and dynamics of large and flexible macromolecular complexes.\n\nPlease note that this bioRxiv submission is ahead of the availability of the multi-body software in relion-3.0. We take great care in distributing stable software, but this does take time. We will announce the (beta-)release of relion-3.0 through the ccp-em mailing list (https://www.jiscmail.ac.uk/CCPEM) and on twitter (@SjorsScheres).

biophysics↗