AIMC Topic: Capsid Proteins
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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...
Analysis of protein determinants of host-specific infection properties of polyomaviruses using machine learning.
Genes & genomics
Mar 1, 2021
BACKGROUND: The large tumor antigen (LT-Ag) and major capsid protein VP1 are known to play important roles in determining the host-specific infection properties of polyomaviruses (PyVs).
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...
In focus in HCB.
Histochemistry and cell biology
Jan 7, 2019
Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning.
Histochemistry and cell biology
Nov 28, 2018
The detailed analysis of secondary envelopment of the Human betaherpesvirus 5/human cytomegalovirus (HCMV) from transmission electron microscopy (TEM) images is an important step towards understanding the mechanisms underlying the formation of infect...
Analysis of protein determinants of genotype-specific properties of group a rotaviruses using machine learning.
Computers in biology and medicine
Jun 1, 2025
Group A rotaviruses (RVAs) are the leading cause of viral diarrhoea across various host species, including mammals and birds. The VP7 and VP4 proteins of these viruses play critical roles in determining genotype specificity, influencing viral infecti...
Machine Learning of Molecular Dynamics Simulations Provides Insights into the Modulation of Viral Capsid Assembly.
Journal of chemical information and modeling
May 26, 2025
An effective approach in the development of novel antivirals is to target the assembly of viral capsids by using capsid assembly modulators (CAMs). CAMs targeting hepatitis B virus (HBV) have two major modes of function: they can either accelerate nu...
Integrating different approaches for the identification of new disruptors of HIV-1 capsid multimerization.
Biochemical and biophysical research communications
May 12, 2025
Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped by a lipid bilayer within which the capsid protein encases the viral genome, reverse transcriptase, and integrase proteins, key components for viral re...
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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