AIMC Topic: Dependovirus
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Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex.
Cell genomics
May 21, 2025
Identifying cell-type-specific enhancers is critical for developing genetic tools to study the mammalian brain. We organized the "Brain Initiative Cell Census Network (BICCN) Challenge: Predicting Functional Cell Type-Specific Enhancers from Cross-Sp...
Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model.
Human gene therapy
Apr 16, 2025
Adeno-associated virus (AAV)-based therapeutics have the potential to transform the lives of patients by delivering one-time treatments for a variety of diseases. However, a critical challenge to their widespread adoption and distribution is the high...
Advances in AAV capsid engineering: Integrating rational design, directed evolution and machine learning.
Molecular therapy : the journal of the American Society of Gene Therapy
Apr 1, 2025
Adeno-associated virus (AAV) has emerged as a highly promising vector for human gene therapy due to its favorable safety profile, versatility, and ability to transduce a wide range of tissues. However, natural AAV serotypes have shortcomings, includi...
Artificial Intelligence-Based Approaches for AAV Vector Engineering.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 11, 2025
Adeno-associated virus (AAV) has emerged as a leading vector for gene therapy due to its broad host range, low pathogenicity, and ability to facilitate long-term gene expression. However, AAV vectors face limitations, including immunogenicity and ins...
Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning.
Frontiers in immunology
Apr 27, 2021
A key hurdle to making adeno-associated virus (AAV) capsid mediated gene therapy broadly beneficial to all patients is overcoming pre-existing and therapy-induced immune responses to these vectors. Recent advances in high-throughput DNA synthesis, mu...
Deep diversification of an AAV capsid protein by machine learning.
Nature biotechnology
Feb 11, 2021
Modern experimental technologies can assay large numbers of biological sequences, but engineered protein libraries rarely exceed the sequence diversity of natural protein families. Machine learning (ML) models trained directly on experimental data wi...
Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.
Journal of medical virology
Jun 1, 2025
Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissues, and cell types, which is recognized as a safe and effective method for delivering therapeutic transgenes. AAV vector is the most popular viral gen...
Machine-learning-guided Directed Evolution for AAV Capsid Engineering.
Current pharmaceutical design
Jan 1, 2024
Target gene delivery is crucial to gene therapy. Adeno-associated virus (AAV) has emerged as a primary gene therapy vector due to its broad host range, long-term expression, and low pathogenicity. However, AAV vectors have some limitations, such as i...
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