AIMC Topic: Single-Domain Antibodies

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Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning.

PLoS computational biology Apr 21, 2025
The design of proteins capable effectively binding to specific protein targets is crucial for developing therapies, diagnostics, and vaccine candidates for viral infections. Here, we introduce a complementarity-determining region (CDR) grafting appro...
Machine Learning COVID-19 SARS-CoV-2 Humans Molecular Dynamics Simulation Single-Domain Antibodies Complementarity Determining Regions Spike Glycoprotein, Coronavirus Epitopes
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Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization.

Journal of nanobiotechnology Feb 6, 2025
Nanobodies (Nbs), miniature antibodies consisting solely of the variable region of heavy chains, exhibit unique properties such as small size, high stability, and strong specificity, making them highly promising for disease diagnosis and treatment. T...
Cell Surface Display Techniques Artificial Intelligence Humans Animals Single-Domain Antibodies Peptide Library Protein Engineering
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Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies.

PLoS pathogens Jan 23, 2025
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the risks posed by emerging infectious diseases to national security, public health, and the economy. Development of new vaccines and antibodies for emer...
Machine Learning COVID-19 SARS-CoV-2 Humans Antibodies, Viral Spike Glycoprotein, Coronavirus Antibodies, Neutralizing Animals Peptide Library Immunoglobulin Heavy Chains High-Throughput Screening Assays Single-Domain Antibodies
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ParaAntiProt provides paratope prediction using antibody and protein language models.

Scientific reports Nov 25, 2024
Efficiently predicting the paratope holds immense potential for enhancing antibody design, treating cancers and other serious diseases, and advancing personalized medicine. Although traditional methods are highly accurate, they are often time-consumi...
Complementarity Determining Regions Computational Biology Models, Molecular Amino Acid Sequence Single-Domain Antibodies Antibodies Humans Deep Learning
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Advancements in nanobody generation: Integrating conventional, in silico, and machine learning approaches.

Biotechnology and bioengineering Jul 25, 2024
Nanobodies, derived from camelids and sharks, offer compact, single-variable heavy-chain antibodies with diverse biomedical potential. This review explores their generation methods, including display techniques on phages, yeast, or bacteria, and comp...
Machine Learning Computer Simulation Humans Animals Single-Domain Antibodies
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Accurate prediction of CDR-H3 loop structures of antibodies with deep learning.

eLife Jun 26, 2024
Accurate prediction of the structurally diverse complementarity determining region heavy chain 3 (CDR-H3) loop structure remains a primary and long-standing challenge for antibody modeling. Here, we present the H3-OPT toolkit for predicting the 3D st...
Single-Domain Antibodies Complementarity Determining Regions Antibodies, Monoclonal Models, Molecular Protein Conformation Humans Deep Learning
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Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions.

mAbs Apr 26, 2024
The development of bispecific antibodies that bind at least two different targets relies on bringing together multiple binding domains with different binding properties and biophysical characteristics to produce a drug-like therapeutic. These buildin...
Machine Learning Animals Humans Antibodies, Bispecific Immunoglobulin Heavy Chains Single-Domain Antibodies Protein Engineering
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Epitope Identification of an mGlu5 Receptor Nanobody Using Physics-Based Molecular Modeling and Deep Learning Techniques.

Journal of chemical information and modeling Feb 29, 2024
The world has witnessed a revolution in therapeutics with the development of biological medicines such as antibodies and antibody fragments, notably nanobodies. These nanobodies possess unique characteristics including high specificity and modulatory...
Molecular Dynamics Simulation Protein Conformation Receptor, Metabotropic Glutamate 5 Epitope Mapping Single-Domain Antibodies Models, Molecular Epitopes Deep Learning Rats Animals
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ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins.

Communications biology May 29, 2023
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...
Single-Domain Antibodies Models, Molecular Antibodies Receptors, Antigen, T-Cell Deep Learning
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NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning.

Frontiers in immunology Aug 12, 2022
Antibodies are a rapidly growing class of therapeutics. Recently, single domain camelid VHH antibodies, and their recognition nanobody domain (Nb) appeared as a cost-effective highly stable alternative to full-length antibodies. There is a growing ne...
Amino Acid Sequence Complementarity Determining Regions Deep Learning Single-Domain Antibodies Antibodies
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