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Showing 20 of 105 academic articles

Clinical Aspects of Immunology.

• Annals of Internal Medicine (1969)

Volume 1: anatomical basis of the immune system architecture of immunity induction and regulation of immune responses. Volume 2: advances in technology immunological intervention allergy connective tissue disease immunodeficiency. Volume 3:...

OPENALEX DOI: https://doi.org/10.7326/0003-4819-71-1-229_2

The Advances of Single-Cell RNA-Seq in Kidney Immunology

Honghui Zeng, Honghui Zeng, Xiaoqiang Yang, Xiaoqiang Yang et al. • Frontiers in Physiology (2021)

Kidney diseases are highly prevalent and treatment is costly. Immune cells play important roles in kidney diseases; however, it has been challenging to investigate the contribution of each cell type in kidney pathophysiology. Recently, the ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2021.752679

How <i>Phytophthora</i> Effectors Disrupt Post-Translational Regulation in Plant Immunity: Canonical and Non-Canonical Mechanisms

Gilberto Muñoz-Pérez, Fátima Álvarez-Camarena, Julio Vega-Arreguin • Kinases and Phosphatases (2026)

Plant–pathogen interactions are shaped by dynamic regulatory processes that control immune signaling. Among these, post-translational modifications (PTMs) play central roles in modulating protein activity, stability, and interaction network...

DOAJ Open Access (DOAJ) DOI: 10.3390/kinasesphosphatases4020011

Interacting roles of gut microbiota and T cells in the development of autoimmune hepatitis

Qingwei Wu, Zhifa Ge, Chengyu Lv, Qifeng He • Frontiers in Immunology (2025)

Autoimmune hepatitis (AIH) is a progressive liver inflammatory disease mediated by an autoimmune response, with an increasing incidence rate. In severe cases, AIH will rapidly progress to liver cirrhosis and liver failure and even lead to d...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2025.1584001

Deep learning improves antimicrobial peptide recognition

Daniel Veltri, Uday Kamath, Amarda Shehu • Bioinformatics (2018)

Motivation: Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by w...

OPENALEX cc-by-nc DOI: https://doi.org/10.1093/bioinformatics/bty179 PMC: 6084614

MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites

Chengqi Wang, Yibo Dong, Chang Li, Jenna Oberstaller et al. • Genome Biology (2023)

Abstract Malaria remains one of the deadliest infectious diseases. Transcriptional regulation effects of noncoding variants in this unusual genome of malaria parasites remain elusive. We developed a sequence-based, ab initio deep learning f...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13059-023-03063-z

Immunogenic cell death-related macrophage gene model for prognostic prediction in glioblastoma

Yiming Mao, Ting Li, Wenqiang Lu, Chunhong Li et al. • Discover Oncology (2025)

Abstract Glioblastoma (GBM) is an extremely aggressive and diverse type of brain tumor that is associated with a poor prognosis. Immunogenic cell death (ICD) is a particular form of cellular demise that is closely linked to antineoplastic i...

DOAJ Open Access (DOAJ) DOI: 10.1007/s12672-025-03557-1

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding et al. • BioData Mining (2024)

Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13040-024-00369-x

Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

Yanan Wang, Jiangning Song, Tatiana T. Marquez-Lago, André Leier et al. • Scientific Reports (2017)

Abstract Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced pro...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-017-06219-7