HyperLab - AI drug discovery Platform

PUBLICATIONS

The HyperLab is constantly evolving
with the state of the art technologies
proven with the papers

The HyperLab is constantly
evolving with the state of
the art technologies
proven with the papers

Hyper Design

Target-conditioned GFlowNet for Structure-based Drug Design

Transactions on Machine Learning Research

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Hyper Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

ICML2024 Workshop AI4Science

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Hyper Design

3D molecular generative framework for interaction-guided drug design

ICML2024 Workshop AI4Science

Learn more

Hyper Design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Advanced Science, 10, 2206674 (2023)

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Hyper Design

Molecular generative model based on adversarially regularized autoencoder

Journal of Chemical Information and Modeling, 60, 29 (2020)

Learn more

Hyper Design

Scaffold-based molecular design with graph generative model

Chemical Science, 11, 1153 (2020)

Learn more

Hyper Design

Molecular generative model with conditional variational autoencoder

Journal of Cheminformatics, 10, 31 (2018)

Learn more

Hyper Design

Target-conditioned GFlowNet for Structure-based Drug Design

Transactions on Machine Learning Research

Learn more

Hyper Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

ICML2024 Workshop AI4Science

Learn more

Hyper Design

3D molecular generative framework for interaction-guided drug design

ICML2024 Workshop AI4Science

Learn more

Hyper Design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Advanced Science, 10, 2206674 (2023)

Learn more

Hyper Design

Molecular generative model based on adversarially regularized autoencoder

Journal of Chemical Information and Modeling, 60, 29 (2020)

Learn more

Hyper Design

Scaffold-based molecular design with graph generative model

Chemical Science, 11, 1153 (2020)

Learn more

Hyper Design

Molecular generative model with conditional variational autoencoder

Journal of Cheminformatics, 10, 31 (2018)

Learn more

Hyper Design

Target-conditioned GFlowNet for Structure-based Drug Design

Transactions on Machine Learning Research

Learn more

Hyper Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

ICML2024 Workshop AI4Science

Learn more

Hyper Design

3D molecular generative framework for interaction-guided drug design

ICML2024 Workshop AI4Science

Learn more

Hyper Design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Advanced Science, 10, 2206674 (2023)

Learn more

Hyper Design

Molecular generative model based on adversarially regularized autoencoder

Journal of Chemical Information and Modeling, 60, 29 (2020)

Learn more

Hyper Design

Scaffold-based molecular design with graph generative model

Chemical Science, 11, 1153 (2020)

Learn more

Hyper Design

Molecular generative model with conditional variational autoencoder

Journal of Cheminformatics, 10, 31 (2018)

Learn more

PUBLICATIONS

The HyperLab is constantly evolving
with the state of the art technologies
proven with the papers

Hyper Design

Target-conditioned GFlowNet for Structure-based Drug Design

Transactions on Machine Learning Research

Learn more

Hyper Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

ICML2024 Workshop AI4Science

Learn more

Hyper Design

3D molecular generative framework for interaction-guided drug design

ICML2024 Workshop AI4Science

Learn more

Hyper Design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Advanced Science, 10, 2206674 (2023)

Learn more

Hyper Design

Molecular generative model based on adversarially regularized autoencoder

Journal of Chemical Information and Modeling, 60, 29 (2020)

Learn more

Hyper Design

Scaffold-based molecular design with graph generative model

Chemical Science, 11, 1153 (2020)

Learn more

Hyper Design

Molecular generative model with conditional variational autoencoder

Journal of Cheminformatics, 10, 31 (2018)

Learn more

Hyper Design

Target-conditioned GFlowNet for Structure-based Drug Design

Transactions on Machine Learning Research

Learn more

Hyper Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

ICML2024 Workshop AI4Science

Learn more

Hyper Design

3D molecular generative framework for interaction-guided drug design

ICML2024 Workshop AI4Science

Learn more

Hyper Design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Advanced Science, 10, 2206674 (2023)

Learn more

Hyper Design

Molecular generative model based on adversarially regularized autoencoder

Journal of Chemical Information and Modeling, 60, 29 (2020)

Learn more

Hyper Design

Scaffold-based molecular design with graph generative model

Chemical Science, 11, 1153 (2020)

Learn more

Hyper Design

Molecular generative model with conditional variational autoencoder

Journal of Cheminformatics, 10, 31 (2018)

Learn more

Ready to revolutionize
Your drug discovery process?

Ready to
revolutionize your
drug discovery process?

Start for Free

Talk to Sales

HITS Inc.

CEO : Woo Youn Kim

Address : 8F, 28, Teheran-ro 4-gil, Gangnam-gu, Seoul, Republic of Korea

Tel : +82-2-6953-0317

E-mail :

sales@hits.ai

Company registration number : 260-88-01818

Notice

The HyperLab is constantly evolving with the state of the art technologies proven with the papers

The HyperLab is constantly evolving with the state of the art technologies proven with the papers

Target-conditioned GFlowNet for Structure-based Drug Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

3D molecular generative framework for interaction-guided drug design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Molecular generative model based on adversarially regularized autoencoder

Scaffold-based molecular design with graph generative model

Molecular generative model with conditional variational autoencoder

Target-conditioned GFlowNet for Structure-based Drug Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

3D molecular generative framework for interaction-guided drug design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Molecular generative model based on adversarially regularized autoencoder

Scaffold-based molecular design with graph generative model

Molecular generative model with conditional variational autoencoder

Target-conditioned GFlowNet for Structure-based Drug Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

3D molecular generative framework for interaction-guided drug design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Molecular generative model based on adversarially regularized autoencoder

Scaffold-based molecular design with graph generative model

Molecular generative model with conditional variational autoencoder

The HyperLab is constantly evolving with the state of the art technologies proven with the papers

Target-conditioned GFlowNet for Structure-based Drug Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

3D molecular generative framework for interaction-guided drug design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Molecular generative model based on adversarially regularized autoencoder

Scaffold-based molecular design with graph generative model

Molecular generative model with conditional variational autoencoder

Target-conditioned GFlowNet for Structure-based Drug Design

NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket

3D molecular generative framework for interaction-guided drug design

Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Molecular generative model based on adversarially regularized autoencoder

Scaffold-based molecular design with graph generative model

Molecular generative model with conditional variational autoencoder

Ready to revolutionize Your drug discovery process?

Ready to revolutionize your drug discovery process?

The HyperLab is constantly evolving
with the state of the art technologies
proven with the papers

The HyperLab is constantly
evolving with the state of
the art technologies
proven with the papers

The HyperLab is constantly evolving
with the state of the art technologies
proven with the papers

Ready to revolutionize
Your drug discovery process?

Ready to
revolutionize your
drug discovery process?