Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/75607

TitleBridging the gap between lactoferrin and V-ATPase through a multi-stage computational approach
Author(s)Pereira, Cátia Sofia Santos
Rocha, Juliana F.
Fernandes, Henrique S.
Rodrigues, Lígia R.
Côrte-Real, Manuela
Sousa, Sérgio F.
KeywordsDocking
Lactoferrin
Molecular dynamics
V-ATPase
Issue date10-Jan-2022
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
CitationCátia S. Pereira; Rocha, Juliana F.; Fernandes, Henrique S.; Rodrigues, Lígia R.; Côrte-Real, Manuela; Sousa, Sérgio F., Bridging the gap between lactoferrin and V-ATPase through a multi-stage computational approach. MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.. Online, Jan 25-30, 2022.
Abstract(s)Lactoferrin (Lf), a bioactive milk protein, exhibits strong anticancer and antifungal activities [1,2]. The search for Lf targets and mechanisms of action is of utmost importance to enhance its effective applications. A common feature among Lf-treated cancer and fungal cells is the inhibition of a proton pump essential for pH homeostasis called V-ATPase. Lf-driven V-ATPase inhibition leads to cytosolic acidification, ultimately causing cell death of cancer and fungal cells [24]. Given that a detailed elucidation of how Lf and V-ATPase interact is still missing, in this work we aimed to fill this gap by employing a multi-level computational approach. Molecular dynamics (MD) simulations of both proteins were performed to obtain a robust sampling of their conformational landscape, followed by clustering and protein-protein docking. Subsequently, MD simulations of the docked complexes and free binding energy calculations were carried out to evaluate the dynamic binding process and built the final ranking. This computational pipeline unraveled a putative mechanism by which Lf inhibits V-ATPase and identified key binding residues that will certainly aid in the rational design of follow-up experimental studies, bridging in this way computational and experimental biochemistry.
TypePoster
URIhttps://hdl.handle.net/1822/75607
DOI10.3390/mol2net-07-12137
Publisher versionhttps://sciforum.net/event/mol2net-07
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Painéis em Conferências / Posters in Conferences

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