HITS

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HITS is an AI-driven biotech company that innovates drug discovery. It leverages AI to accelerate the development of new drugs, offering solutions for virtual screening, drug design, and ADME/T prediction.

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Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is HITS?

HITS is an AI-driven biotech company focused on revolutionizing drug discovery through advanced artificial intelligence. Their platform, Hyper Lab, offers a suite of products including Hyper ADME/T for predicting drug properties, Hyper Design for novel molecule design, Hyper Binding for drug-protein interaction analysis, and Hyper Screening for efficient hit identification. HITS integrates physics-based modeling with deep learning to rapidly identify effective compounds and design new drug structures. The company aims to make AI-powered drug development accessible and efficient, reducing costs and accelerating the timeline from discovery to market.

Best used for

Ideal for pharmaceutical and biotech researchers who need to accelerate drug discovery, design novel molecules, and predict drug properties. Especially valuable for streamlining early-stage drug development and optimizing compound selection through AI-powered insights.

Common actions

Accelerate drug discovery

Design new molecules

Predict drug properties

Identify drug candidates

Capabilities

Key features

AI-driven virtual screening
Novel molecule design
Drug-protein interaction prediction
ADME/T property prediction
Hit identification

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check hits.ai for current pricing.

FAQs

What specific drug properties can Hyper ADME/T predict?

Hyper ADME/T can predict CYP 5종 inhibition, solubility, LogP, metabolic stability, hERG inhibition, P-gp inhibition, and PAMPA permeability. This allows for easy in vitro ADME/T prediction and consideration during early drug development stages.

How does Hyper Design assist in novel molecule creation?

Hyper Design utilizes AI to recommend novel molecular structures, helping researchers conceive new design ideas. It explores a wide range of structures, suggesting options that might be overlooked by human analysis, and allows for modification of substructures.

What is the benefit of using Hyper Screening for hit identification?

Hyper Screening enhances hit identification accuracy through precise AI predictions, outperforming traditional methods. It also streamlines the process by eliminating the need for complex external vendor contracts and provides purchase links for identified molecules.

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