Article

ProteinVAE: Variational AutoEncoder for Translational Protein Design

2023-03-05

Abstract excerpt

There have recently been rapid advances in deep learning models for protein design. To demonstrate proof-of-concept, these advancements have focused on small proteins with lots of data for training. This means that they are often not suitable for generating proteins with the most potential for high clinical impact –due to the additional challenges of sparse data and large size many therapeutically relevant protein...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1220d720-ecc6-539c-9b65-3960f5d63853
DOI: 10.1101/2023.03.04.531110

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ProteinVAE: Variational AutoEncoder for Translational Protein DesignDOI 10.1101/2023.03.04.531110Read

Generative AAV capsid diversification by latent interpolationSemantic proximity Read

ProtWave-VAE: Integrating Autoregressive Sampling with Latent-Based Inference for Data-Driven Protein Design.Semantic proximity Read

Steering Protein Generative Models at Test-Time for Guided AAV2 Capsid Design.Semantic proximity Read

Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model.Semantic proximity Read

Prediction of Adeno-Associated Virus Fitness with a Protein Language Based Machine Learning ModelSemantic proximity Read

Dirichlet latent modelling enables effective learning and sampling of the functional protein design space.Semantic proximity Read

Protein design and variant prediction using autoregressive generative models.Semantic proximity Read

Fully functional AAV viral vectors with highly altered structural cores and subunit interfaces using ProteinMPNNSemantic proximity Read

Bio-informed Protein Sequence Generation for Multi-class Virus Mutation PredictionSemantic proximity Read

Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine LearningSemantic proximity Read

Generative AI for Drug Discovery and Protein Design: The Next Frontier in AI-Driven Molecular ScienceSemantic proximity Read

Protein engineering using variational free energy approximation.Semantic proximity Read