AIMC Topic: Antibodies

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

Nature communications Apr 25, 2023
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...
Protein Conformation Antigens Complementarity Determining Regions Deep Learning Antibodies
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Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation.

Scientific reports Feb 20, 2023
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...
Deep Learning Viscosity Immunoglobulin Variable Region Big Data Antibodies
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Smart Graphene-Based Electrochemical Nanobiosensor for Clinical Diagnosis: Review.

Sensors (Basel, Switzerland) Feb 16, 2023
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...
Graphite Artificial Intelligence Electric Conductivity Electricity Antibodies
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Computational and artificial intelligence-based methods for antibody development.

Trends in pharmacological sciences Jan 18, 2023
Due to their high target specificity and binding affinity, therapeutic antibodies are currently the largest class of biotherapeutics. The traditional largely empirical antibody development process is, while mature and robust, cumbersome and has signi...
Humans Artificial Intelligence Machine Learning Antibodies Complementarity Determining Regions
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AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information.

Frontiers in immunology Dec 22, 2022
INTRODUCTION: Antibody-mediated immunity is an essential part of the immune system in vertebrates. The ability to specifically bind to antigens allows antibodies to be widely used in the therapy of cancers and other critical diseases. A key step in a...
Antibodies Amino Acid Sequence Antigens Animals Neural Networks, Computer 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...
Complementarity Determining Regions Amino Acid Sequence Single-Domain Antibodies Deep Learning Antibodies
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Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation.

Analytica chimica acta Apr 5, 2022
Both the ABO and Rhesus (Rh) blood groups play crucial roles in blood transfusion medicine. Herein, we report a simple and low-cost paper-based analytical device (PAD) for phenotyping red blood cell (RBC) antigens. Using this Rh typing format, 5 Rh a...
Erythrocytes Antigens Deep Learning Antibodies Rh-Hr Blood-Group System Blood Group Antigens
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Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2022
Antibodies consisting of variable and constant regions, are a special type of proteins playing a vital role in immune system of the vertebrate. They have the remarkable ability to bind a large range of diverse antigens with extraordinary affinity and...
Algorithms Proteins Antibodies Binding Sites, Antibody Neural Networks, Computer
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Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Nature communications Jun 10, 2021
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common ...
Antibodies Amino Acid Sequence Caenorhabditis elegans Immunoglobulin Light Chains Algorithms Gene Expression Animals Mutation Humans Databases, Genetic Recombinant Proteins Immunoglobulin Light-chain Amyloidosis Machine Learning Models, Molecular
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Protein design and variant prediction using autoregressive generative models.

Nature communications Apr 23, 2021
The ability to design functional sequences and predict effects of variation is central to protein engineering and biotherapeutics. State-of-art computational methods rely on models that leverage evolutionary information but are inadequate for importa...
Antigens Protein Engineering Antibodies Amino Acid Sequence Algorithms Proteins Genotype Humans Phenotype Mutation Computational Biology Neural Networks, Computer
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