HyperLab
Service Introduction
"It runs easily on computer." "It's easy to follow." "It has all the features." What is the name of this AI platform?
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How to use Hyper Lab in just three steps

Here are three features that utilize Hyper Lab. You can prioritize experiments with hyper-binding, get drug structure suggestions with hyper-design, and see the binding structure of drugs and proteins with the 3D/2D viewer.
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Jaechang Lim, CTO
2024.05.213min read
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hello. This is the HITS Hyper Lab team.

Have you had any difficulties using Hyper Lab so far? It's a platform that hasn't existed before, so it's understandable that it might feel a bit unfamiliar. In this post, we'd like to introduce three features that will make your research go more smoothly. Get started with your research today.

How to use AI drug discovery platform Hyper Lab 1.

Q. Are you wondering which substance to test first?

Find out in less than a minute with Hyper Lab [Hyper Binding] feature. [Hyper Binding is an AI model with FEP+ accuracy that allows you to quickly check binding scores and prioritize your synthesis. (See how to use Hyper Binding)

How to utilize AI drug discovery platform Hyper Lab 2.

Q. Do you want to quickly improve the ADME/T characteristics of your drug?

With Hyper Lab's [Hyper Design], generative AI will suggest 50 novel drug structures in 5 minutes. You can also use the self-filtering feature to easily select only those with the desired properties. (See how to use Hyper Design and ADME/T)

How to utilize AI drug discovery platform Hyper Lab 3.

 

With just a few clicks, you can visualize the binding structure of a compound with a real protein in 3D / 2D. There is. Easily create intuitive images for your papers or presentations. (Go to 3D & 2D Viewer)

We hope this article helps you understand and access the Hyper Lab more easily. We are constantly striving to introduce the latest AI technologies, and we are also making it easier for everyone to use it through simpler UI.UX. We will continue to do our best to make Hyper Lab a positive influence on your research. Thank you.

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