Results 111 to 120 of about 19,745 (243)

Exploring the Potential and Advancements of Circular RNA Therapeutics

open access: yesExploration, EarlyView.
Given the remarkable advantages in terms of stability, sustained expression profile, safety, wide range of druggable targets, scalable and cost‐effective manufacturing capabilities, circRNA is currently undergoing intensive investigation for various therapeutic applications such as vaccines, protein replacement, genetic disease treatment, gene therapy,
Lei Wang   +6 more
wiley   +1 more source

Overcoming antibody-resistant SARS-CoV-2 variants with bispecific antibodies constructed using non-neutralizing antibodies

open access: yesiScience
Summary: A current challenge is the emergence of SARS-CoV-2 variants, such as BQ.1.1 and XBB.1.5, that can evade immune defenses, thereby limiting antibody drug effectiveness. Emergency-use antibody drugs, including the widely effective bebtelovimab, are
Tetsuya Inoue   +12 more
doaj  

Large scale controlled Fab exchange GMP process to prepare bispecific antibodies

open access: yesFrontiers in Bioengineering and Biotechnology
Objective: Bispecific antibodies (BsAbs) have demonstrated significant therapeutic impacts for the treatment of a broad spectrum of diseases that include oncology, auto-immune, and infectious diseases.
Xia Yao   +8 more
doaj   +1 more source

Protein-environment-sensitive computational epitope accessibility analysis from antibody dose-response data [PDF]

open access: yesarXiv
Antibodies are widely used in life-sciences and medical therapy. Yet, broadly applicable methods are missing to determine, in the biological system of choice, antibody specificity and its quantitative contribution to e.g. immunofluorescence stainings. Thereby, antibody-based data often needs to be seen with caution.
arxiv  

Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching [PDF]

open access: yesarXiv
Antibodies are proteins produced by the immune system that recognize and bind to specific antigens, and their 3D structures are crucial for understanding their binding mechanism and designing therapeutic interventions. The specificity of antibody-antigen binding predominantly depends on the complementarity-determining regions (CDR) within antibodies ...
arxiv  

Therapeutic targeting of chromatin alterations in leukemia and solid tumors

open access: yesInternational Journal of Cancer, EarlyView.
Abstract Alterations in chromatin conformation and post‐translational modification of histones have become increasingly recognized as critical drivers of cancer development, progression, and therapy resistance. Recent advances in drug development have led to the establishment of several highly selective small molecule inhibitors, several of which are ...
Florian Perner   +7 more
wiley   +1 more source

Teclistamab as an Effective Treatment for Pericardial Effusion in Relapsed Multiple Myeloma: Case Report and a Brief Literature Review

open access: yesCase Reports in Oncology
Introduction: Multiple myeloma represents a malignant disorder of plasma cells. Extramedullary relapse in multiple myeloma is a rare occurrence, and pericardial involvement stands as an exceedingly uncommon manifestation.
Sai Samyuktha Bandaru   +3 more
doaj   +1 more source

Energy-based generative models for monoclonal antibodies [PDF]

open access: yesarXiv
Since the approval of the first antibody drug in 1986, a total of 162 antibodies have been approved for a wide range of therapeutic areas, including cancer, autoimmune, infectious, or cardiovascular diseases. Despite advances in biotechnology that accelerated the development of antibody drugs, the drug discovery process for this modality remains ...
arxiv  

Furmonertinib in uncommon EGFR‐mutated non‐small cell lung cancer with central nervous system metastases: A retrospective cohort study

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Mutations in EGFR are the most frequently detected driver mutations in non‐small cell lung carcinoma (NSCLC), and two common mutations account for 75%–90% of these. The remaining 10%–25% are uncommon mutations, a heterogeneous set of genetic changes that do not necessarily respond well to treatment.
Yuwen Xie   +7 more
wiley   +1 more source

Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin [PDF]

open access: yesarXiv
Monoclonal antibodies (mAbs) represent one of the most prevalent FDA-approved modalities for treating autoimmune diseases, infectious diseases, and cancers. However, discovery and development of therapeutic antibodies remains a time-consuming and expensive process. Recent advancements in machine learning (ML) and artificial intelligence (AI) have shown
arxiv  

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