The coral microbiome: towards an understanding of the molecular mechanisms of coral–microbiota interactions

AR Mohamed, MA Ochsenkühn… - FEMS Microbiology …, 2023 - academic.oup.com
Corals live in a complex, multipartite symbiosis with diverse microbes across kingdoms,
some of which are implicated in vital functions, such as those related to resilience against …

[HTML][HTML] Network-based approaches for modeling disease regulation and progression

G Galindez, S Sadegh, J Baumbach… - Computational and …, 2023 - Elsevier
Molecular interaction networks lay the foundation for studying how biological functions are
controlled by the complex interplay of genes and proteins. Investigating perturbed processes …

[HTML][HTML] Deep learning of causal structures in high dimensions under data limitations

K Lagemann, C Lagemann, B Taschler… - Nature Machine …, 2023 - nature.com
Causal learning is a key challenge in scientific artificial intelligence as it allows researchers
to go beyond purely correlative or predictive analyses towards learning underlying cause …

[HTML][HTML] Network learning for biomarker discovery

Y Ding, M Fu, P Luo, FX Wu - International Journal of Network Dynamics …, 2023 - sciltp.com
Everything is connected and thus networks are instrumental in not only modeling complex
systems with many components, but also accommodating knowledge about their …

[HTML][HTML] EGFR-T790M Mutation–Derived Interactome Rerouted EGFR Translocation Contributing to Gefitinib Resistance in Non-Small Cell Lung Cancer

PS Wu, MH Lin, JC Hsiao, PY Lin, SH Pan… - Molecular & Cellular …, 2023 - ASBMB
Secondary mutation, T790M, conferring tyrosine kinase inhibitors (TKIs) resistance beyond
oncogenic epidermal growth factor receptor (EGFR) mutations presents a challenging unmet …

[HTML][HTML] A multi-scale map of protein assemblies in the DNA damage response

A Kratz, M Kim, MR Kelly, F Zheng, CA Koczor, J Li… - Cell Systems, 2023 - cell.com
The DNA damage response (DDR) ensures error-free DNA replication and transcription and
is disrupted in numerous diseases. An ongoing challenge is to determine the proteins …

PLA-GNN: Computational inference of protein subcellular location alterations under drug treatments with deep graph neural networks

RH Wang, T Luo, HL Zhang, PF Du - Computers in Biology and Medicine, 2023 - Elsevier
The aberrant protein sorting has been observed in many conditions, including complex
diseases, drug treatments, and environmental stresses. It is important to systematically …

[HTML][HTML] Differential network analysis between sex of the genes related to comorbidities of type 2 mellitus diabetes

PH Guzzi, F Cortese, GC Mannino, E Pedace… - Applied Network …, 2023 - Springer
Background Some phenotypical changes may be related to changes in the associations
among genes. The set of such associations is referred to as gene interaction (or association) …

[HTML][HTML] Genetic epidemiology of resistance to M. tuberculosis Infection: importance of study design and recent findings

CM Stein - Genes & Immunity, 2023 - nature.com
Resistance to M. tuberculosis, often referred to as “RSTR” in the literature, is being
increasingly studied because of its potential relevance as a clinical outcome in vaccine …

[HTML][HTML] MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms

C Erdem, SM Gross, LM Heiser, MR Birtwistle - Nature communications, 2023 - nature.com
Robust identification of context-specific network features that control cellular phenotypes
remains a challenge. We here introduce MOBILE (Multi-Omics Binary Integration via Lasso …