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Rational Protein Engineering using Data-Driven Generative Models | DSI
Rational Protein Engineering using Data-Driven Generative Models | DSI

New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science
New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science

Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | Full Text
Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | Full Text

Generative Modeling for Protein Structures
Generative Modeling for Protein Structures

ProteinGAN: A generative adversarial network that generates functional protein sequences
ProteinGAN: A generative adversarial network that generates functional protein sequences

PDF] Deep Learning in Protein Structural Modeling and Design | Semantic Scholar
PDF] Deep Learning in Protein Structural Modeling and Design | Semantic Scholar

Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen
Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen

Overview of different machine learning approaches for protein design.... | Download Scientific Diagram
Overview of different machine learning approaches for protein design.... | Download Scientific Diagram

Protein sequence design with deep generative models - ScienceDirect
Protein sequence design with deep generative models - ScienceDirect

De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites | Journal of Chemical Information and Modeling
De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites | Journal of Chemical Information and Modeling

Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models | PLOS Computational Biology
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models | PLOS Computational Biology

How Will the Proteins of the Future Be Designed? - SynBioBeta
How Will the Proteins of the Future Be Designed? - SynBioBeta

Protein sequence design with deep generative models - ScienceDirect
Protein sequence design with deep generative models - ScienceDirect

Zeming Lin, Tom Sercu, Yann LeCun, Alexander Rives · Deep generative models of protein structures create new and diverse proteins · SlidesLive
Zeming Lin, Tom Sercu, Yann LeCun, Alexander Rives · Deep generative models of protein structures create new and diverse proteins · SlidesLive

Generative Models for Graph-Based Protein Design
Generative Models for Graph-Based Protein Design

A nonlinear latent-variable model captures higher-order dependencies in... | Download Scientific Diagram
A nonlinear latent-variable model captures higher-order dependencies in... | Download Scientific Diagram

De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling

Deep generative modeling for protein design - ScienceDirect
Deep generative modeling for protein design - ScienceDirect

Rational Protein Engineering using Data-Driven Generative Models | DSI
Rational Protein Engineering using Data-Driven Generative Models | DSI

Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen
Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen

The generative capacity of probabilistic protein sequence models | Nature Communications
The generative capacity of probabilistic protein sequence models | Nature Communications

IJMS | Free Full-Text | Protein Design with Deep Learning | HTML
IJMS | Free Full-Text | Protein Design with Deep Learning | HTML