Results 61 to 70 of about 845,204 (303)

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Embedding graphs in surfaces

open access: yesJournal of Combinatorial Theory, Series B, 1984
AbstractThe basic topological facts about closed curves in R2 and triangulability of surfaces are used to prove the folk theorem that any surface embedding of a graph is combinatorial. A basic technical lemma for this proof (a version of what it means to apply scissors to an embedded graph) is then used to give a rigourous definition of the ...
Peter Hoffman, R. Bruce Richter
openaire   +3 more sources

Multilevel graph embedding

open access: yesNumerical Linear Algebra with Applications, 2020
AbstractThe goal of the present paper is the design of embeddings of a general sparse graph into a set of points in for appropriated ≥ 2. The embeddings that we are looking at aim to keep vertices that are grouped in communities together and keep the rest apart. To achieve this property, we utilize coarsening that respects possible community structures
Benjamin Quiring, Panayot S. Vassilevski
openaire   +3 more sources

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Embedding a graph in the grid of a surface with the minimum number of bends is NP-hard [PDF]

open access: yes, 1997
This paper is devoted to the study of graph embeddings in the grid of non-planar surfaces. We provide an adequate model for those embeddings and we study the complexity of minimizing the number of bends.
Márquez Pérez, Alberto   +1 more
core   +2 more sources

A survey of two-dimensional graph layout techniques for information visualisation [PDF]

open access: yes, 2012
Many algorithms for graph layout have been devised over the last 30 years spanning both the graph drawing and information visualisation communities. This article first reviews the advances made in the field of graph drawing that have then often been ...
Vickers, Paul, Gibson, Helen, Faith, Joe
core   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

Knowledge Graph Embeddings [PDF]

open access: yes, 2012
With the growing popularity of multi-relational data on the Web, knowledge graphs (KGs) have become a key data source in various application domains, such as Web search, question answering, and natural language understanding. In a typical KG such as Freebase (Bollacker et al.
Rosso, Paolo   +2 more
openaire   +2 more sources

Attributed Graph Clustering:a Deep Attentional Embedding approach [PDF]

open access: yes, 2019
Graph clustering is a fundamental task which discovers communities or groups in networks. Recent studies have mostly focused on developing deep learning approaches to learn a compact graph embedding, upon which classic clustering methods like k-means or ...
Jiang, Jing   +11 more
core   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

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