dc.contributor.author
Finn, Lauren
dc.date.accessioned
2025-12-01T13:30:49Z
dc.date.available
2025-12-01T13:30:49Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/50095
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-49820
dc.description.abstract
Current treatment options for Clostridioides difficile infections of the gut are limited by reliance on antibiotics, resulting in high recurrence and mortality. Since the secreted toxin TcdB is the source of pathogenesis, a more effective treatment route may target TcdB directly. Allosteric control of the cysteine protease domain (CPD) of TcdB offers a promising intervention point for deactivating the toxin. Here, we apply computational methods to uncover the allosteric mechanism of TcdB CPD and thereby advance the larger rational drug design project. Free energy calculations feature prominently in our toolkit. We use umbrella sampling to sample the large conformational transition of TcdB CPD and reproduce the allosteric effect on free energy surfaces. We also use free energy perturbation calculations to distinguish binding affinities among highly complex protonation states of the allosteric modulator phytate (IP6). Based on these and other computations, we construct a detailed allosteric mechanism of in the form of a switchable interaction network. This mechanism is thoroughly validated by both computations and experiments. We additionally contribute to the characterization of IP6 analogues with thiophosphate substitutions in the form of docking studies. Finally, we uncover the structural origins of the net loss of one proton on IP6–TcdB CPD complexation. Together, this computational treatment provides detailed structural and mechanistic insight on an important ligand-protein system.
en
dc.format.extent
v, 178 Seiten
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
molecular dynamics
en
dc.subject
Clostridioides difficile
en
dc.subject
free energy surfaces
en
dc.subject
cysteine protease domain
en
dc.subject
myo-inositol hexakisphosphate
en
dc.subject
umbrella sampling
en
dc.subject.ddc
500 Natural sciences and mathematics::540 Chemistry and allied sciences::541 Physical and theoretical chemistry
dc.title
How computations decipher allostery in C. difficile toxins
dc.contributor.gender
female
dc.contributor.firstReferee
Keller, Bettina
dc.contributor.furtherReferee
Ballauff, Matthias
dc.date.accepted
2025-10-28
dc.identifier.urn
urn:nbn:de:kobv:188-refubium-50095-6
dc.title.subtitle
Towards treating infections without antibiotics
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.note.author
Supported by DFG through grant IRTG 2662, Project Number 434130070, project B3 and Canadian Institutes of Health Research project grant (PJT-173262) and Natural Science and Engineering Research Council of Canada through discovery grant (RGPIN-2020-04908).
Computational resources were provided by FUB-IT at Free University Berlin and the Paderborn Center for Parallel Computing at Paderborn University.
Peer-reviewed papers: https://doi.org/10.1073/pnas.2419263122, https://doi.org/10.1039/D4CB00228H
en
dcterms.accessRights.dnb
free
dcterms.accessRights.openaire
open access
dcterms.accessRights.proquest
accept