DeepChain logo

DeepChain

by InstaDeep
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ActiveAvailable globallyCloud
Quick facts
VendorInstaDeep
Year launched
StatusActive
LocationLondon, GB
Countries servedGlobal
Languages1
Integrations
Free tier
Free trial
Contact salesYES

About DeepChain

DeepChain is an AI decision-making software from InstaDeep designed for enterprise applications. It combines building AI systems for the industry, the latest research, and insights from media coverage so businesses can use advanced AI solutions. DeepChain supports organizations in developing customized AI models, utilizing modern research to ensure high performance and effectiveness in real-world scenarios. Additionally, it facilitates collaboration with research institutions to foster advancement. Key capabilities: AI model development Industry-specific solutions Research collaboration Business insights Media engagement Best for: enterprises that need to implement reliable AI systems for decision-making processes.

DeepChain™ is a world-class, AI-driven Protein Design and Discovery platform developed by InstaDeep, designed to dramatically accelerate research in biotech and pharmaceuticals. Leveraging state-of-the-art Deep Language Models (like ProtBFN) and GPU-accelerated Molecular Dynamics simulations, DeepChain slashes the time needed for protein and antibody engineering from months to hours. By providing a suite of advanced tools, including the AI Designer for autonomous mutagenesis and the DeepChain Playground for instant sequence testing, it empowers scientists to rapidly generate, screen, and validate novel therapeutic candidates. This high-throughput, integrative platform is an essential investment for enterprise R&D teams seeking a competitive edge in the rapidly evolving world of drug discovery.

Pros & Cons

What users like
  • +Allows researchers to build their own custom prediction models on the DeepChain data infrastructure.
  • +Combines AI prediction (sequence) and physical validation (Molecular Dynamics) in one platform
  • +Accelerates the design and validation cycle from months to days or hours
  • +Built on a foundation of Deep Reinforcement Learning and Advanced Generative AI (BFNs)
What users flag
  • Running full-scale Molecular Dynamics simulations is compute-intensive
  • The lack of transparent public pricing makes the platform inaccessible to smaller academic labs or individual researchers
  • The platform requires users to have a strong background in computational biology or bioinformatics to extract maximum value.

Features

Key features

AI Language Models for Protein Design
Utilizes state-of-the-art AI, including Transformer models and Bayesian Flow Networks (ProtBFN), trained on billions of protein sequences to generate novel, biologically plausible sequences with specific desired properties.
DeepChain™ Playground
An interactive web interface that allows researchers to test mutations instantly, identify key protein residues from an evolutionary perspective, and discover favorable mutation combinations.
AI-Directed Mutagenesis (AI Designer)
The fully autonomous AI Designer performs in-silico mutagenesis experiments, selecting and delivering sequences with a favorable binding energy profile in hours, not weeks or months.
Molecular Dynamics (MD) Simulation
Provides full-scale, GPU-accelerated Molecular Dynamics simulations on the cloud to cross-validate favorite protein sequences, giving realistic kinetic and stability insights.
Specialized Foundation Models
Offers specialized tools like AbBFN (Antibody Bayesian Flow Networks) for integrated, multi-objective antibody design, focusing on diversity and developability.

Additional features

High-Throughput Batch Processing
Allows for the processing and analysis of large batches of sequences or multiple folding jobs, essential for industrial-scale R&D.
Open-Source Apps Framework
The DeepChain Apps framework allows bioinformaticians to build and deploy custom neural network scorers to evaluate protein sequences directly on the platform.
Peptide Sequencing (InstaNovo/InstaNovo+)
Includes advanced models for de novo peptide sequencing from mass spectrometry data, accelerating proteomics discovery without reliance on reference databases.
Structural Prediction Access
Provides access to and comparison of state-of-the-art protein folding models and algorithms, including those that rival methods like AlphaFold.
Nucleotide Transformer Models (NT/SegmenNT)
Extends beyond proteins to offer models for genomics research, allowing for single-nucleotide resolution insights and natural language engagement with biological data.

Pricing

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Free version
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Countries & Languages

Global
Countries served
1
Interface languages
3
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

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