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 (2024)

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 (2024)

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 (2024)

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 (2024)

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 (2024)

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

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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

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Career

© HITS Inc. All rights reserved.

Ready to revolutionize
Your drug discovery process?

Sign up with your email and start using HyperLab right now

Start for Free

Talk to Sales

—

AI drug discovery Platform

Features

Small Molecule Discovery

Biomedical Co-Scientist

Publications

Publications

Pricing

Pricing

Resource

FAQ

Release note

Careers

HITS Recruit

Careers

Blog

—

AI-powered multi-omics analysis platform

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

Terms of Service

Privacy policy

Cookies

Company information

Career

© HITS Inc. All rights reserved.

Ready to revolutionize
Your drug discovery process?

Sign up with your email and start using HyperLab right now

Start for Free

Talk to Sales

AI drug discovery Platform

AI-powered multi-omics analysis platform

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

Terms of Service

Privacy policy

Cookies

Company information

Career

© HITS Inc. All rights reserved.