Performance measures in evaluating machine learning based bioinformatics predictors for classifications

Y Jiao, P Du - Quantitative Biology, 2016 - Springer
Background Many existing bioinformatics predictors are based on machine learning
technology. When applying these predictors in practical studies, their predictive …

The role of E3 ubiquitin ligases in the development and progression of glioblastoma

LM Humphreys, P Smith, Z Chen, S Fouad… - Cell Death & …, 2021 - nature.com
Despite recent advances in our understanding of the disease, glioblastoma (GB) continues
to have limited treatment options and carries a dismal prognosis for patients. Efforts to stratify …

DirectRMDB: a database of post-transcriptional RNA modifications unveiled from direct RNA sequencing technology

Y Zhang, J Jiang, J Ma, Z Wei, Y Wang… - Nucleic Acids …, 2023 - academic.oup.com
With advanced technologies to map RNA modifications, our understanding of them has
been revolutionized, and they are seen to be far more widespread and important than …

miR-519a enhances chemosensitivity and promotes autophagy in glioblastoma by targeting STAT3/Bcl2 signaling pathway

H Li, L Chen, J Li, Q Zhou, A Huang, W Liu… - Journal of hematology & …, 2018 - Springer
Background Chemoresistance to temozolomide (TMZ) is a major challenge in the treatment
of glioblastoma (GBM). We previously found that miR-519a functions as a tumor suppressor …

NF-κB and STAT3 in glioblastoma: therapeutic targets coming of age

GK Gray, BC McFarland, SE Nozell… - Expert review of …, 2014 - Taylor & Francis
Since we last addressed the roles of NF-κB and JAK/STAT3 signaling in glioblastoma (GBM)
5 years ago, tremendous strides have been made in the understanding of these two …

[HTML][HTML] Functional effects of protein variants

M Vihinen - Biochimie, 2021 - Elsevier
Genetic and other variations frequently affect protein functions. Scientific articles can contain
confusing descriptions about which function or property is affected, and in many cases the …

A convolutional neural network-based framework for classification of protein localization using confocal microscopy images

S Aggarwal, S Gupta, R Kannan, R Ahuja… - IEEE …, 2022 - ieeexplore.ieee.org
Understanding protein subcellular localization is vital and indispensable in proteomics
research. Molecular biology and computer science developments have enabled the use of …

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 …

MYD88 L265P elicits mutation-specific ubiquitination to drive NF-κB activation and lymphomagenesis

X Yu, W Li, Q Deng, H Liu, X Wang… - Blood, The Journal …, 2021 - ashpublications.org
Myeloid differentiation primary response protein 88 (MYD88) is a critical universal adapter
that transduces signaling from Toll-like and interleukin receptors to downstream nuclear …

Adoptive T cell immunotherapy for medullary thyroid carcinoma targeting GDNF family receptor alpha 4

VG Bhoj, L Li, K Parvathaneni, Z Zhang, S Kacir… - Molecular Therapy …, 2021 - cell.com
Metastatic medullary thyroid cancer (MTC) is a rare but often aggressive thyroid malignancy
with a 5-year survival rate of less than 40% and few effective therapeutic options. Adoptive T …