AIMC Topic: Antibodies
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Deep learning-based design and experimental validation of a medicine-like human antibody library.
Briefings in bioinformatics
Nov 22, 2024
Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain...
Geometric epitope and paratope prediction.
Bioinformatics (Oxford, England)
Jul 1, 2024
MOTIVATION: Identifying the binding sites of antibodies is essential for developing vaccines and synthetic antibodies. In this article, we investigate the optimal representation for predicting the binding sites in the two molecules and emphasize the ...
Antibody design using deep learning: from sequence and structure design to affinity maturation.
Briefings in bioinformatics
May 23, 2024
Deep learning has achieved impressive results in various fields such as computer vision and natural language processing, making it a powerful tool in biology. Its applications now encompass cellular image classification, genomic studies and drug disc...
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.
Briefings in bioinformatics
May 23, 2024
The optimization of therapeutic antibodies through traditional techniques, such as candidate screening via hybridoma or phage display, is resource-intensive and time-consuming. In recent years, computational and artificial intelligence-based methods ...
PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.
Technology in cancer research & treatment
Jan 1, 2024
The programmed cell death protein 1 (PD-1, CD279) is an important therapeutic target in many oncological diseases. This checkpoint protein inhibits T lymphocytes from attacking other cells in the body and thus blocking it improves the clearance of tu...
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models.
Briefings in bioinformatics
Sep 20, 2023
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...
DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.
Acta clinica Croatica
Aug 1, 2023
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role in allograft histocompatibility, are called anti-HLA antibodies. Anti-HLA antibodies against foreign HLA molecules may be present in patients with chro...
Challenges in antibody structure prediction.
mAbs
Jan 1, 2023
Advances in structural biology and the exponential increase in the amount of high-quality experimental structural data available in the Protein Data Bank has motivated numerous studies to tackle the grand challenge of predicting protein structures. I...
Paragraph-antibody paratope prediction using graph neural networks with minimal feature vectors.
Bioinformatics (Oxford, England)
Jan 1, 2023
SUMMARY: The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowledge of the paratope (antibody binding site) can speed up and reduce the cost of this process by impr...
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