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asistenţă deacum inainte static sequence generative model representation Sceptic Anunţ pancartă

SeqMed: Recommending Medication Combination with Sequence Generative  Adversarial Nets | Semantic Scholar
SeqMed: Recommending Medication Combination with Sequence Generative Adversarial Nets | Semantic Scholar

Generative probabilistic biological sequence models that account for  mutational variability | bioRxiv
Generative probabilistic biological sequence models that account for mutational variability | bioRxiv

Deep generative models for peptide design - Digital Discovery (RSC  Publishing) DOI:10.1039/D1DD00024A
Deep generative models for peptide design - Digital Discovery (RSC Publishing) DOI:10.1039/D1DD00024A

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

Protein sequence design by conformational landscape optimization | PNAS
Protein sequence design by conformational landscape optimization | PNAS

From lattice-protein sequence space to inferred Potts model. Protein... |  Download Scientific Diagram
From lattice-protein sequence space to inferred Potts model. Protein... | Download Scientific Diagram

Molecular generative model based on conditional variational autoencoder for  de novo molecular design | Journal of Cheminformatics | Full Text
Molecular generative model based on conditional variational autoencoder for de novo molecular design | Journal of Cheminformatics | Full Text

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

SeqGAN: text generation with generative models – KejiTech
SeqGAN: text generation with generative models – KejiTech

A Generative Neural Network for Maximizing Fitness and Diversity of  Synthetic DNA and Protein Sequences - ScienceDirect
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect

Deep generative models of genetic variation capture the effects of  mutations | Nature Methods
Deep generative models of genetic variation capture the effects of mutations | Nature Methods

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model  for Protein Design | DeepAI
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design | DeepAI

Enhancing scientific discoveries in molecular biology with deep generative  models | Molecular Systems Biology
Enhancing scientific discoveries in molecular biology with deep generative models | Molecular Systems Biology

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model  for Protein Design
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

Learning meaningful representations of protein sequences | Nature  Communications
Learning meaningful representations of protein sequences | Nature Communications

Inverse molecular design using machine learning: Generative models for  matter engineering | Science
Inverse molecular design using machine learning: Generative models for matter engineering | Science

Frontiers | Generative Models of Brain Dynamics
Frontiers | Generative Models of Brain Dynamics

Protein sequence design with a learned potential | Nature Communications
Protein sequence design with a learned potential | Nature Communications

Generative Models
Generative Models

A de novo molecular generation method using latent vector based generative  adversarial network | Journal of Cheminformatics | Full Text
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text

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

Shape-Based Generative Modeling for de Novo Drug Design | Journal of  Chemical Information and Modeling
Shape-Based Generative Modeling for de Novo Drug Design | Journal of Chemical Information and Modeling

Efficient generative modeling of protein sequences using simple  autoregressive models | Nature Communications
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications

What are Diffusion Models? | Lil'Log
What are Diffusion Models? | Lil'Log

Flow-based Deep Generative Models | Lil'Log
Flow-based Deep Generative Models | Lil'Log

Active Site Sequence Representations of Human Kinases Outperform Full Sequence  Representations for Affinity Prediction and Inhibitor Generation: 3D  Effects in a 1D Model | Journal of Chemical Information and Modeling
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model | Journal of Chemical Information and Modeling