Results 61 to 70 of about 4,155 (183)

Computational Design of an mRNA Vaccine Targeting LRP6 for Triple‐Negative Breast Cancer Therapy

Cancer Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background Triple‐negative breast cancer (TNBC) presents a poorer prognosis than other breast cancer subtypes, attributed to its aggressive nature and the lack of specific therapeutic interventions. TNBC has high recurrence rates and limited survival despite current therapies, emphasizing the critical need for improved treatment options.
Pooriya Teimoori, Mohammadreza Heidari
wiley   +1 more source

Lessons learned from the IMMREP23 TCR-epitope prediction challenge

ImmunoInformatics
Here, we present the findings from IMMREP23, the second benchmark competition focused on predicting the specificity of TCR-pMHC interactions.The interaction of T cell receptors (TCR) towards their pMHC target is a cornerstone of the cellular immune ...
Morten Nielsen, Anne Eugster, Mathias Fynbo Jensen, Manisha Goel, Andreas Tiffeau-Mayer, Aurelien Pelissier, Sebastiaan Valkiers, María Rodríguez Martínez, Barthélémy Meynard-Piganeeau, Victor Greiff, Thierry Mora, Aleksandra M. Walczak, Giancarlo Croce, Dana L Moreno, David Gfeller, Pieter Meysman, Justin Barton   +16 more
doaj   +1 more source

Deep Learning‐Enabled Engineering of a Hyper‐Stable and Soluble MPB70‐83 Antigen for Sensitive Bovine Tuberculosis Surveillance

Microbial Biotechnology, Volume 19, Issue 4, April 2026.
Schematic representation of the research workflow for the efficient diagnosis of bovine tuberculosis employing peptide fusion proteins. ABSTRACT Bovine tuberculosis (bTB) diagnostics are frequently hindered by the structural instability and insolubility of recombinant multi‐epitope proteins in prokaryotic expression systems.
Wen‐Hao Wang, Jia‐Zhen Ge, Ying‐Ying Xie, Guo‐Dong Song, Yijian Liu, Yin‐juan Song, Ren‐ge Li, Rui‐Shuang Li, Zi‐qing Wang, Xin‐Miao Liu, Shuang‐Shuang Guo, Jie Li, Shengli Chen, Na Li, Fuying Zheng, Yuefeng Chu   +15 more
wiley   +1 more source

ImmunoInformatics: at the crossroads between immunology and informatics, and beyond

ImmunoInformatics, 2021
Niels Halama, Doron Levy
doaj   +1 more source

Data mining antibody sequences for database searching in bottom-up proteomics

ImmunoInformatics
Mass spectrometry-based proteomics facilitates the identification and quantification of thousands of proteins but encounters challenges in measuring human antibodies due to their vast diversity.
Xuan-Tung Trinh, Rebecca Freitag, Konrad Krawczyk, Veit Schwämmle   +3 more
doaj   +1 more source

An In Silico Omics Investigation of the Lactobacillus Genus Complex for Allergenicity Mitigation

Immunity, Inflammation and Disease, Volume 14, Issue 2, February 2026.
This graphical abstract illustrates the most promising Lactobacillus species for reducing allergenicity through an omics approach, integrating genomics and proteomics studies. Also, provides a clear overview of candidate strains that could be effectively utilized in mitigating allergic reactions.
Zahra Bigdeli, Ali Molaei, Nassim Rahmani, Zakie Mazhary, Najaf Allahyari Fard   +4 more
wiley   +1 more source

The gremlin in the works: why T cell receptor researchers need to pay more attention to germline reference sequences

ImmunoInformatics
The rise of T cell receptor (TCR) sequencing technologies is driving both new understandings of the immune system and the development of novel clinical platforms. Such analyses rely on comparing recombined TCR sequences to unrearranged germline reference
James M. Heather, Ayelet Peres, Gur Yaari, William Lees   +3 more
doaj   +1 more source

Computational Validation of Multi‐Epitope mRNA Vaccine Targeting Streptococcus anginosus Surface Protein (TMPC) as an Effective Alternative Treatment to Reduce Gastric Cancer

MicrobiologyOpen, Volume 15, Issue 1, February 2026.
Design process for messenger RNA vaccines. Candidate proteins are initially screened using immunoinformatics, after which selected epitopes are assembled into a multi‐epitope vaccine. The vaccine construct was evaluated through molecular docking, molecular dynamics simulations, and in silico immune simulations, followed by population coverage analysis ...
Fei Zhu, Yuying Luo, Ziyou Zhou, Rongliu Qin, Shiyang Ma, Yizhong Xu, Jie Chen, Pinhua Pan   +7 more
wiley   +1 more source

Building immune digital twins: An international and transdisciplinary community effort

ImmunoInformatics
Digital twins, initially developed for industrial applications, are set to make significant advancements in medicine and healthcare. They have demonstrated promising potential for drug development and personalised care, especially in cardiovascular ...
Anna Niarakis, Gary An, Luiz Ladeira, Noriko F. Hiroi, Athina Papadopoulou, Francis P. Crawley, Niloofar Nikaein, Laurence Calzone, Eirini Tsirvouli, Hasan Balci, Marina Esteban Medina, Lorenzo Veschini, Ozan Ozisik, Francesco Messina, Malvina Marku, Van Du T. Tran, Arnau Montagud, Nikola Schlosserova, Yashwanth Subbannayya, Martina Kutmon, Michael L. Blinov, Rahuman S Malik Sheriff, Robert Phair, Peter Hunter, Kristin Reiche, Jasmin Fisher, Liesbet Geris, Yaron Ilan, James A. Glazier, Philippe Moingeon, Reinhard Laubenbacher   +30 more
doaj   +1 more source

A Biologically Informed Vision‐Guided Framework for Interpretable T Cell Receptor–Epitope Binding Prediction

Advanced Science, Volume 13, Issue 4, 19 January 2026.
Integrating hierarchical physicochemical features via a bio‐inspired design, the DAISY framework robustly predicts T‐cell receptor binding, significantly outperforming state‐of‐the‐art models on unseen epitopes. It uniquely offers visual interpretability via Score‐CAM visualizations and profound clinical relevance, correlating with T‐cell expansion ...
Yajing Yuan, Junwei Chen, Yufang Zhang, Yitian Fang, Zhongcheng Fang, Yanyi Chu, Jiayi Li, Chen Zhang, Yuzhe Li, Dongqing Wei   +9 more
wiley   +1 more source