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View article: Beyond synthetic lethality in large-scale metabolic and regulatory network models via genetic minimal intervention sets
Beyond synthetic lethality in large-scale metabolic and regulatory network models via genetic minimal intervention sets Open
Motivation The integration of genome-scale metabolic and regulatory networks has received significant interest in the field of Cancer Systems Biology. However, the identification of lethal genetic interventions in these integrated models r…
View article: Virma epitranscriptomically regulates cell proliferation, apoptosis, and mitochondrial function via m6A in multiple myeloma
Virma epitranscriptomically regulates cell proliferation, apoptosis, and mitochondrial function via m6A in multiple myeloma Open
Multiple Myeloma (MM) is a hematological neoplasm characterized by the clonal expansion of malignant plasma cells (PCs) within the bone marrow. Despite clinical advances, the majority of patients eventually experience disease relapse. Ther…
View article: An automated network-based tool to search for metabolic vulnerabilities in cancer
An automated network-based tool to search for metabolic vulnerabilities in cancer Open
View article: BET inhibitors down-regulate the expression of the essential lncRNA <i>SMILO</i> in multiple myeloma through regulation of the transcription factor FLI1
BET inhibitors down-regulate the expression of the essential lncRNA <i>SMILO</i> in multiple myeloma through regulation of the transcription factor FLI1 Open
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View article: PVR (CD155) epigenetic status mediates immunotherapy response in multiple myeloma
PVR (CD155) epigenetic status mediates immunotherapy response in multiple myeloma Open
View article: Epigenetic-based differentiation therapy for Acute Myeloid Leukemia
Epigenetic-based differentiation therapy for Acute Myeloid Leukemia Open
Despite the development of novel therapies for acute myeloid leukemia, outcomes remain poor for most patients, and therapeutic improvements are an urgent unmet need. Although treatment regimens promoting differentiation have succeeded in t…
View article: gMCSpy: efficient and accurate computation of genetic minimal cut sets in Python
gMCSpy: efficient and accurate computation of genetic minimal cut sets in Python Open
Motivation The identification of minimal genetic interventions that modulate metabolic processes constitutes one of the most relevant applications of genome-scale metabolic models (GEMs). The concept of Minimal Cut Sets (MCSs) and its exte…
View article: Review and meta-analysis of the genetic Minimal Cut Set approach for gene essentiality prediction in cancer metabolism
Review and meta-analysis of the genetic Minimal Cut Set approach for gene essentiality prediction in cancer metabolism Open
Cancer metabolism is a marvellously complex topic, in part, due to the reprogramming of its pathways to self-sustain the malignant phenotype in the disease, to the detriment of its healthy counterpart. Understanding these adjustments can p…
View article: gMCSpy: Efficient and accurate computation of Genetic Minimal Cut Sets in Python
gMCSpy: Efficient and accurate computation of Genetic Minimal Cut Sets in Python Open
Motivation The identification of minimal genetic interventions that modulate metabolic processes constitutes one of the most relevant applications of genome-scale metabolic models (GEMs). The concept of Minimal Cut Sets (MCSs) and its exte…
View article: Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells
Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells Open
Synthetic lethality (SL) is a promising concept in cancer research. A wide array of computational tools has been developed to predict and exploit synthetic lethality for the identification of tumour-specific vulnerabilities. Previously, we…
View article: Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells
Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells Open
Synthetic lethality (SL) is a promising concept in cancer research. A wide array of computational tools has been developed to predict and exploit synthetic lethality for the identification of tumour-specific vulnerabilities. Previously, we…