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Antibodies

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Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

Journal of pediatric gastroenterology and nutrition
OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with inflammatory bowel disease (IBD). We aimed to describe the effectiveness of strategies for treatment modification following ATI development in pediatric...

Smart Graphene-Based Electrochemical Nanobiosensor for Clinical Diagnosis: Review.

Sensors (Basel, Switzerland)
The technological improvement in the field of physics, chemistry, electronics, nanotechnology, biology, and molecular biology has contributed to the development of various electrochemical biosensors with a broad range of applications in healthcare se...

Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation.

Scientific reports
Deep learning, aided by the availability of big data sets, has led to substantial advances across many disciplines. However, many scientific problems of practical interest lack sufficiently large datasets amenable to deep learning. Prediction of anti...

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies.

Nature communications
Antibodies have the capacity to bind a diverse set of antigens, and they have become critical therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six hypervariable loops that are diversified through genetic rec...

ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins.

Communications biology
Immune receptor proteins play a key role in the immune system and have shown great promise as biotherapeutics. The structure of these proteins is critical for understanding their antigen binding properties. Here, we present ImmuneBuilder, a set of de...

Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.

Journal of chemical theory and computation
The design of new biomolecules able to harness immune mechanisms for the treatment of diseases is a prime challenge for computational and simulative approaches. For instance, in recent years, antibodies have emerged as an important class of therapeut...

Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models.

Briefings in bioinformatics
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more. However, the mutational space involved is too vast to be handl...

DG-Affinity: predicting antigen-antibody affinity with language models from sequences.

BMC bioinformatics
BACKGROUND: Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer and autoimmune disease therap...

Mpox (formerly monkeypox): pathogenesis, prevention, and treatment.

Signal transduction and targeted therapy
In 2022, a global outbreak of Mpox (formerly monkeypox) occurred in various countries across Europe and America and rapidly spread to more than 100 countries and regions. The World Health Organization declared the outbreak to be a public health emerg...

Beyond Natural Immune Repertoires: Synthetic Antibodies.

Cold Spring Harbor protocols
Synthetic antibody libraries, in which the antigen-binding sites are precisely designed, offer unparalleled precision in antibody engineering, exceeding the potential of natural immune repertoires and constituting a novel generation of research tools...