Deployed on AWS
    The AMRx Drug Discovery Platform is an AI powered computational platform that accelerates drug discovery by integrating advanced machine learning, bioinformatics, and predictive analytics. It enables researchers to identify promising drug targets, screen and prioritize candidate molecules, predict efficacy and safety, and support drug repurposing, significantly reducing the time and cost of early stage drug development. By combining large scale biological and clinical data with AI driven insights, the platform helps pharmaceutical and biotechnology organizations make faster, data driven decisions throughout the drug discovery pipeline

    Overview

    The AMRx Drug Discovery Platform is an AI powered solution that accelerates and optimizes the entire drug discovery lifecycle by integrating artificial intelligence, machine learning, computational biology, cheminformatics, bioinformatics, and advanced analytics. It addresses the traditionally lengthy and costly process of drug discovery by leveraging predictive models, high performance computing, and large scale biological data integration to improve decision making, reduce costs, and shorten timelines. The platform unifies diverse datasets genomic, proteomic, metabolomic, chemical, structural, pharmacological, and clinical into one analytical environment, enabling researchers to uncover disease mechanisms, identify drug targets, and generate insights for precision medicine. AMRx supports target identification and validation through AI driven analysis of biological networks and literature, prioritizing candidates with high success potential. Its virtual screening capabilities allow evaluation of millions of compounds via computational docking and AI assisted ranking, reducing lab testing needs while improving lead identification. For lead optimization, machine learning predicts molecular properties and generative AI designs novel compounds optimized for potency, selectivity, solubility, stability, and manufacturability. Early stage ADMET prediction helps eliminate unsuitable candidates before costly validation, focusing resources on molecules with greater clinical promise. The platform also enables drug repurposing by mapping disease pathways and profiling compounds to identify new therapeutic uses for existing drugs. Advanced visualization tools transform complex data into dashboards, molecular visualizations, and predictive reports, enhancing collaboration and decision making. Built on modular, scalable architecture, AMRx integrates with LIMS, ELNs, cloud infrastructure, HPC environments, biomedical repositories, and third party tools, while offering secure collaboration, automated workflows, and compliance support. It serves diverse therapeutic areas including oncology, rare diseases, infectious diseases, immunology, neuroscience, metabolic and cardiovascular disorders, and precision medicine. Deployment options include cloud, hybrid, or on premises with enterprise grade security and governance. Key capabilities span AI powered target validation, pathway analysis, compound screening, molecular docking, generative molecule design, lead optimization, ADMET prediction, toxicity assessment, biomarker discovery, multi omics integration, drug repurposing, predictive analytics, workflow automation, and collaborative visualization. By combining cutting edge AI with computational drug discovery, AMRx empowers faster, evidence based decisions, reduces costs, improves candidate quality, and accelerates the development of safer, more effective therapies, transforming complex biological data into actionable insights and enabling organizations to deliver life changing treatments with speed and confidence

    Highlights

    • Accelerated AI Driven Drug Discovery: Streamlines the end to end drug discovery lifecycle using AI, machine learning, and computational biology to identify and optimize therapeutic candidates faster
    • Advanced Predictive Analytics: Integrates multi-omics, chemical, and clinical data with AI-powered ADMET, toxicity, and molecular interaction predictions to improve candidate selection and reduce research risk
    • Scalable Collaborative Platform Supports seamless integration with laboratory systems, cloud infrastructure, and biomedical databases, enabling secure collaboration, workflow automation, and data-driven research at enterprise scale

    Details

    Delivery method

    Delivery option
    AMRx AWS Marketplace

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

     Info
    Dimension
    Description
    Cost/unit
    AMRXINSTANCE
    Hourly software license for one running AMRx Drug Discovery Platform instance
    $500.00

    Vendor refund policy

    All sales are finale. Refund will be paid based on technical review and validations. For assistance, please contact aws-apn@innominds.com 

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    Vendor terms and conditions

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    Usage information

     Info

    Delivery details

    AMRx AWS Marketplace

    The AWS CloudFormation template is designed to automate the provisioning of a complete infrastructure stack required to host the AMRx application by creating a Virtual Private Cloud that provides logical isolation and secure networking, attaching an Internet Gateway to enable controlled public access, and defining multiple subnets across availability zones to separate workloads for high availability and fault tolerance, with public subnets hosting resources that require internet connectivity such as EC2 instances and private subnets reserved for backend services like RDS databases to protect sensitive data; security groups are configured as virtual firewalls to enforce fine grained traffic control between application tiers, ensuring compliance and minimizing unauthorized access; the template provisions an EC2 instance to serve as the compute environment for application hosting, configurable with operating systems, runtimes, and deployment scripts, while Amazon RDS provides a managed relational database service with automated backups, patching, scaling, and multi AZ availability, placed in private subnets for enhanced security; this automated infrastructure reduces manual effort, eliminates configuration errors, and ensures consistent replication across development, testing, and production environments, while parameters such as instance types, storage sizes, subnet CIDR ranges, and database engines can be customized to meet workload requirements; the stack supports the AMRx Drug Discovery Platform by offering a robust backend where AI driven analytics, machine learning models, and bioinformatics workflows can run efficiently, with EC2 hosting application services and APIs and RDS storing structured datasets like genomic, proteomic, and pharmacological information, while VPC isolation, subnet segmentation, and security groups enforce enterprise grade security and governance; advanced design principles ensure scalability, resilience, and compliance, integrating seamlessly with AWS services and enabling organizations to focus on scientific innovation rather than infrastructure management; overall, the CloudFormation template encapsulates best practices for cloud native deployments by combining isolated networking, controlled internet access, structured subnet design, secure traffic governance, scalable compute, and reliable data persistence into a single automated workflow, delivering a production ready environment that accelerates deployment, supports collaboration, and provides a resilient foundation for hosting applications that drive breakthroughs in drug discovery

    CloudFormation Template (CFT)

    AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."

    Version release notes

    The AMRx Drug Discovery Platform is an AIpowered solution that accelerates and optimizes the entire drug discovery lifecycle by integrating artificial intelligence, machine learning, computational biology, cheminformatics, bioinformatics, and advanced analytics. It addresses the traditionally lengthy and costly process of drug discovery by leveraging predictive models, high performance computing, and large scale biological data integration to improve decision making, reduce costs, and shorten timelines. The platform unifies diverse datasets genomic, proteomic, metabolomic, chemical, structural, pharmacological, and clinical into one analytical environment, enabling researchers to uncover disease mechanisms, identify drug targets, and generate insights for precision medicine. AMRx supports target identification and validation through AI driven analysis of biological networks and literature, prioritizing candidates with high success potential. Its virtual screening capabilities allow evaluation of millions of compounds via computational docking and AI assisted ranking, reducing lab testing needs while improving lead identification. For lead optimization, machine learning predicts molecular properties and generative AI designs novel compounds optimized for potency, selectivity, solubility, stability, and manufacturability. Early stage ADMET prediction helps eliminate unsuitable candidates before costly validation, focusing resources on molecules with greater clinical promise. The platform also enables drug repurposing by mapping disease pathways and profiling compounds to identify new therapeutic uses for existing drugs. Advanced visualization tools transform complex data into dashboards, molecular visualizations, and predictive reports, enhancing collaboration and decision making. Built on modular, scalable architecture, AMRx integrates with LIMS, ELNs, cloud infrastructure, HPC environments, biomedical repositories, and third party tools, while offering secure collaboration, automated workflows, and compliance support. It serves diverse therapeutic areas including oncology, rare diseases, infectious diseases, immunology, neuroscience, metabolic and cardiovascular disorders, and precision medicine. Deployment options include cloud, hybrid, or on premises with enterprise grade security and governance. Key capabilities span AI powered target validation, pathway analysis, compound screening, molecular docking, generative molecule design, lead optimization, ADMET prediction, toxicity assessment, biomarker discovery, multi omics integration, drug repurposing, predictive analytics, workflow automation, and collaborative visualization. By combining cutting edge AI with computational drug discovery, AMRx empowers faster, evidence based decisions, reduces costs, improves candidate quality, and accelerates the development of safer, more effective therapies, transforming complex biological data into actionable insights and enabling organizations to deliver life changing treatments with speed and confidence

    Additional details

    Usage instructions

    Prerequisites Active AWS account with permissions to create CloudFormation stacks. An EC2 Key Pair in the target AWS Region for SSH access. Permissions to create networking and compute resources.

    Deployment Steps Subscribe to the product in AWS Marketplace. Select Continue to Configuration and choose the AWS Region. Launch the supplied CloudFormation template. Provide the required stack parameters DBMasterPassword: <password> DBMasterUsername: admin DBName: myappdb keypair: <keypair> ImageID: <Imageid> MySQLVersion: 8.0 Review and create the CloudFormation stack. Wait until the stack status is CREATE_COMPLETE.

    Resources Created Amazon VPC Internet Gateway Public and Private Subnets Security Groups Amazon EC2 Instance Amazon RDS Database

    The template also creates the application database, configures the database credentials, and exports the database connection details as environment variables in the EC2 instance's .bashrc file.

    Post-Deployment Steps

    1. Connect to the EC2 instance using SSH. ssh -i <keypair>.pem ubuntu@<EC2-Public-IP>
    2. Run the installation script. cd /home/ubuntu chmod +x app.start.sh ./app.start.sh

    Accessing the Application

    Open the application using: http://EC2  Public IP

    Troubleshooting

    Verify the CloudFormation stack completed successfully. Ensure the Security Group allows inbound access to ports 22, 80 and 443. Confirm the EC2 instance is in the Running state. Review the installation logs if the deployment script reports any errors.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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