46 research outputs found
MAVISp_MD_SMPD1_P17405
MD simulations used in MAVISp ensemble mode for SMPD1 in association with a lysosomal-like membrane. Reference: Scrima et al., biorxiv, https://doi.org/10.1101/2023.11.24.56855
MAVISp_MD_SMPD1_P17405
MD simulations used in MAVISp ensemble mode for SMPD1 in association with a lysosomal-like membrane. Reference: Scrima et al., biorxiv, https://doi.org/10.1101/2023.11.24.56855
Some considerations on monasticism according to Father Andre Scrima
Special Collection: Lucian Blaga University, Sibiu, Romania, sub-edited by Daniel Buda (Lucian Blaga University) and Jerry Pillay
(University of Pretoria).The author is participating as
the research associate of
Dean Prof. Dr Jerry Pillay,
Faculty of Theology and
Religion, University of
Pretoria.Father André Scrima emphasised in his works the importance of monasticism as an inward
phenomenon of the church, and he even believed that the Orthodox Church can be considered
a ‘monastic’ church, given that monasticism is itself ecclesial. Trying to explain this ecclesial
function, Father Scrima developed a unique, fresh vision regarding the role that the monk had
throughout history, and this article sought to summarise some of these observations as they
emerged from the writings of Father Scrima.
CONTRIBUTION : The article focuses on Father Scrima (1925–2000) and argues that this remarkable
Romanian theologian is often overlooked. He was gifted with an incredible memory and an
outstanding capacity to bring together information from different fields of knowledge – the
so-called classical culture – with universal cultural elements, patterns, traits or institutions that
are common to all human cultures worldwide, presenting them in a theological interpretation.http://www.hts.org.zaam2022Dogmatics and Christian Ethic
ASM variants in the spotlight:A structure-based atlas for unraveling pathogenic mechanisms in lysosomal acid sphingomyelinase
Lysosomal acid sphingomyelinase (ASM), a critical enzyme in lipid metabolism encoded by the SMPD1 gene, plays a crucial role in sphingomyelin hydrolysis in lysosomes. ASM deficiency leads to acid sphingomyelinase deficiency, a rare genetic disorder with diverse clinical manifestations, and the protein can be found mutated in other diseases. We employed a structure-based framework to comprehensively understand the functional implications of ASM variants, integrating pathogenicity predictions with molecular insights derived from a molecular dynamics simulation in a lysosomal membrane environment. Our analysis, encompassing over 400 variants, establishes a structural atlas of missense variants of lysosomal ASM, associating mechanistic indicators with pathogenic potential. Our study highlights variants that influence structural stability or exert local and long-range effects at functional sites. To validate our predictions, we compared them to available experimental data on residual catalytic activity in 135 ASM variants. Notably, our findings also suggest applications of the resulting data for identifying cases suited for enzyme replacement therapy. This comprehensive approach enhances the understanding of ASM variants and provides valuable insights for potential therapeutic interventions.</p
Simulations
Collections of simulations for the publication Maertens JM, Scrima S, Lambrughi M, Genheden S, Trivellin C, Eriksson LA,
Papaleo E, Olsson L, Bettiga M. Molecular-dynamics-simulation-guided membrane engineering allows the increase of membrane fatty acid chain length in Saccharomyces cerevisiae. Sci Rep. 2021 Aug 30;11(1):17333. doi: 10.1038/s41598-021-96757-y. The script and input files can be found in the associated Github repository of our group: https://github.com/ELELAB/YEAST_MEMBRANE_M
Simulations of yeast membranes
Collections of simulations for the publication Maertens JM, Scrima S, Lambrughi M, Genheden S, Trivellin C, Eriksson LA,
Papaleo E, Olsson L, Bettiga M. Molecular-dynamics-simulation-guided membrane engineering allows the increase of membrane fatty acid chain length in Saccharomyces cerevisiae. Sci Rep. 2021 Aug 30;11(1):17333. doi: 10.1038/s41598-021-96757-y. The script and input files can be found in the associated Github repository of our group: https://github.com/ELELAB/YEAST_MEMBRANE_M
Simulations
Collections of simulations for the publication Maertens JM, Scrima S, Lambrughi M, Genheden S, Trivellin C, Eriksson LA,
Papaleo E, Olsson L, Bettiga M. Molecular-dynamics-simulation-guided membrane engineering allows the increase of membrane fatty acid chain length in Saccharomyces cerevisiae. Sci Rep. 2021 Aug 30;11(1):17333. doi: 10.1038/s41598-021-96757-y. The script and input files can be found in the associated Github repository of our group: https://github.com/ELELAB/YEAST_MEMBRANE_M
Simulations
Collections of simulations for the publication Maertens JM, Scrima S, Lambrughi M, Genheden S, Trivellin C, Eriksson LA,
Papaleo E, Olsson L, Bettiga M. Molecular-dynamics-simulation-guided membrane engineering allows the increase of membrane fatty acid chain length in Saccharomyces cerevisiae. Sci Rep. 2021 Aug 30;11(1):17333. doi: 10.1038/s41598-021-96757-y. The script and input files can be found in the associated Github repository of our group: https://github.com/ELELAB/YEAST_MEMBRANE_M
LipidDyn
Collection of simulations used in the publication: " Unraveling membrane properties at the organelle-level with LipidDyn" Scrima S et al., biorxiv, doi: https://doi.org/10.1101/2022.01.04.474788
For the software and other data see also https://github.com/ELELAB/LipidDyn and https://github.com/ELELAB/Lipiddyn_case_studie
Computational approaches for drug repurposing against cancer
Cancer remains a leading cause of death worldwide, particularly in its advanced and metastatic stages, where resistance to current treatments is common. In response to this challenge, drug repurposing offers a viable approach for cancer therapy, leveraging existing drugs approved for treating other conditions to reduce development risks, costs, and time. Notably, cationic amphiphilic drugs (CADs), commonly used for allergies and psychiatric disorders, have shown potential as anti-cancer agents. CADs target and destabilize lysosomal membranes in cancer cells, inhibiting enzymes such as acid sphingomyelinases (ASM) and other lysosomal lipases. This vulnerability leads to cell death, making them promising candidates for cancer treatment. In the context of lysosomal function, the role of ASM is particularly significant in Niemann-Pick disease, a genetic disorder characterized by sphingomyelin accumulation in the lysosomes of several tissues due to deficient ASM activity. Indeed, as for cancer, the growing number of variants of uncertain significance (VUS) identified in patient data highlights the need for an in-depth understanding of these variants and their roles in this disease. Another example of successful repurposing is disulfiram (DSF), traditionally used for treating alcoholism. One of the metabolites of DSF, the diethyldithiocarbamate-copper complex (CuET), specifically accumulates in cancer cells and targets the NPL4 protein, a crucial component of the p97 segregase complex involved in protein degradation within the proteasome. The interaction between CuET and NPL4 disrupts the function of the protein function, leading to cancer cell death.These cases emphasize the potential of repurposed drugs in developing new cancer treatments, providing a novel approach to combating this global health challenge.This thesis represents the first step in investigating the molecular mechanisms underlying the tumor-suppressing action of CADs and DSF that our collaborators in the Unit of Cell Death and Metabolism (CDM) and in the Unit of Genome Integrity (GI) at the Danish Cancer Institute (DCI) have identified, using computational methods from the field of molecular modeling and simulations.Five manuscripts are included. Manuscript I laid the groundwork for the future investigation of CADs and lysosomal membranes. We developed a Python-based pipeline to streamline the analysis of molecular dynamics (MD) simulations, which can handle biological membranes with diverse compositions and account for the presence of proteins. The analyses include different biophysical membrane properties that can be better rationalized using supporting plotting tools. Manuscript II presents the MAVISp framework, specifically designed for interpreting VUS, which holds particular relevance in cancer research. This extensive framework includes several modules, each capable of analyzing individual protein structures, their complexes, and ensembles of structures.These modules are uniquely configured to predict the impact of specific mutations on protein function or structural stability. My contribution to this work included curating and validating the MAVISp database, focusing particularly on a case study on the NPL4 protein, and developing two Python-based pipelines for protein alignments and computation of EVE pathogenicity scores, used for assessing the potential disease-causing impact of human variants. In Manuscript III, we applied the MAVISp framework focusing on the ASM protein, one of the targets of the thesis. Over 400 ASM variants, identified from ClinVar, literature curation, or cancer samples, were studied, creating a comprehensive atlas of their structural effects on ASM. Additionally, the study offers a reassessment of several previously known variants. Manuscript IV focuses on MD simulations to characterize the interaction between the ASM protein and a lysosomal-like membrane. This study aimed to understand the impact of ebastine, chosen as representative of CADs, on both the lysosomal membrane and the ASM protein. Ultimately, Manuscript V presents a thorough comparison of various force-field parameters, including CHARMM36m, ff99SB-ILDN, and f99SB*-ILDN, evaluating their efficacy in MD simulations for depicting the structure and dynamics of yeast NPL4. The study encompasses the modeling of zinc ions, a cofactor of NPL4, and cupric ions, which are hypothesized to play a role in the mechanism where copper might replace zinc in the Zinc Finger (ZF) domains of NPL4.Overall, these manuscripts collectively contribute to the field of drug repurposing by providing innovative computational tools to evaluate MD simulations of biological membrane and protein, and in-depth analyses of relevant protein structures, protein-drug interactions, and the structural effect of specific variants
