QuantifyingBioactivityAcceleratingDiscovery

Partex.AI Labs accelerates drug discovery through predictive assay development and high-throughput screening, leveraging more than 16 years of scientific expertise. Spined-off from Amgen’s High Throughput Center, the team has since delivered over 300Mn data points, supporting cutting-edge research and innovation

    Unmatched Screening Power

    Over 300 comprehensive runs completed, accelerating discovery with rigorous, data-driven evaluation

    Assay Expertise and Optimization

    95% success across GPCRs, ion channels, enzymes, and RNA-binding proteins using diverse cellular models for reliable results

    Seamless Workflow Management

    Advanced workflows delivered 15+ candidates to the clinic on time—covering Molecular Glues, PROTACs, and AB/ADC design

Introducing ADMETron™

A better way to get decision-driving
admet data

ADMETron™ enables fast, accurate prediction of Absorption, Distribution, Metabolism, Excretion, and Toxicity ADMET/Tox properties directly from SMILES input—empowering discovery teams to make informed decisions earlier in the drug development pipeline

  • AI-driven-model-iconAI-powered Product
  • upload-SMILES-iconUpload SMILES (single or batch)
  • instant-iconInstant ADMET predictions
  • graph-iconVisualize and download results

Try ADMETron™ Now

ADMETrix Platform UI

Assay Development

In vitro assays to capture the biology of a target are at the core of our service portfolio. We engineer relevant, robust, and scalable assays to develop pharmacological active compounds to become drugs or bioactive substances. We serve clients out of the biopharmaceutical, biotech, veterinary, agroscience and cosmetic industries and support research at academic institutions. Partex.AI Labs designs custom assays from scratch or develops optimized solutions tailored to clients' needs. We work technology-independent on adaptation, miniaturization, and automation of client-provided assay protocols as well de novo design of predictive and quantitative bioactivity assays. The AI Labs rely on a broad spectrum of assay formats with proven success record

Assay Development

High-Throughput Screening

High-Throughput Screening (HTS) is an industry-standard automated process for rapidly testing thousands to millions of compounds for biological activity in cell-based or biochemical assays. We also perform further High Content Screens / Cell Painting to gain phenotypic insights and a higher number of read out parameters, also to support imaging to develop AI algorithm. HTS identifies hit molecules with significant biological activity, serving as starting points for medicinal chemistry optimization in collaboration with our partners. We have an own library with >150k compounds, with an optimized diversity and an industry standard compound management system. At Partex.AI Labs, we leverage our extensive experience, which more than 300 conducted HTS campaigns across major drug target classes. We utilize small molecule diversity sets, client-provided libraries, and other substances like chemical mixtures, natural product extracts, oligonucleotides, and antibodies. Our success in industry-scale HTS campaigns relies on engineering robust, automation-compatible assays, robotics-assisted sample handling, and automated data processing

High-Throughput Screening

Quantitative Biology Applications

Bioactivity assessment is an integral part of the in-depth characterization and Understanding of the bioactive molecules following a high-throughput screening (HTS) campaign. Establishing structure-activity-relationship (SAR) and the mechanism-of-action (MoA) of lead compounds during medicinal chemistry-guided optimization is essential to progress candidate molecules from hit to lead and propel them forward in the drug development pipeline. Our broadly tuned portfolio of industry-grade assay technologies enables concentration-response experiments (dose-response analyses) to determine potency, efficacy, selectivity, and mode-of-action. Our SAR & ADMETron™ tools support the process. This portfolio of technologies enable early preclinical assessment of cytotoxicity and undesirable off-target effects

Quantitative Biology Applications

Activity determination of potential hits in dose response curve; Hits were further confirmed un a counter run

Lets Collaborate

Looking for expert support in assay development, high-throughput screening, or quantitative biology?
Partner with Partex.AI Labs to bring scientific precision and scalability to your drug discovery programs

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