Enricture

Enricture accelerates early-stage drug discovery by combining Affinity Selection–Mass Spectrometry (ASMS) with AI/ML-powered hit enrichment. This innovative approach delivers high-quality hits faster and more cost-effectively than traditional high-throughput screening (HTS).

• Smarter Spend
  Over 50% lower investment than traditional HTS, with reduced risk.
• Faster Results
  Cut timelines by over 30% — from 3 months to just 2.
• Intelligent Screening
  AI/ML algorithms enrich hit selection for better outcomes.
• Built-in Expertise
  Access a cross-functional team including Medicinal Chemistry and Computational Chemistry specialists.
• High-Quality Library
  Screen from a highly curated 400k lead-like compound library with no access fee applied.

Enricture uses a streamlined 3-stage workflow:

1. Primary HTS using ASMS & AI/ML-Based Plate Selection
2. Hit Confirmation
3. AI/ML-Driven Hit Enrichment

Key Features:

• High-throughput binding — up to 50,000 compounds/day
• Measures binding affinities for proteins and nucleic acids
• Label-free detection
• Suitable for orphan targets
• Simultaneous testing of all binding sites

• Processes and analyzes vast datasets
• Continuously learns and improves
• Accelerates drug discovery timelines
• Reduces HTS campaign costs
• Enhances success potential

Enricture is a rapid and affordable screening platform that combines Affinity Selection Mass Spectrometry (ASMS) with artificial intelligence/machine learning (AI/ML)-based hit enrichment.

Stage 1: Primary HTS using ASMS & AI/ML-Based Plate Selection

Approximately 50,000 lead-like compounds are selected for maximal chemical diversity coverage and screened in batches of ~600 compounds per well at 0.5 µM per well in duplicate. Two rounds of AI/ML are used to select a further 100,000 compounds to screen under the same conditions. From the screening data the primary hits or ‘binders' are identified for progression to stage 2. A primary hit is defined as a compound positive twice.

Stage 2: Hit Confirmation using ASMS

Up to 450 of the most promising primary hits are cherry picked for confirmation (single compound per well tested at 5 µM in singletons, including control without the target), followed by further validation by LC-MS. Confirmed hits are selected for use in stage 3.

Stage 3: AI/ML-Driven Hit Enrichment 

The target-specific chemical space identified in stage 1 and 2 are integrated with existing HTS fingerprint data to build machine learning models and identify additional in-silico predicted binders (hit enrichment) across an additional set of ~250,000 compounds. Up to 1000 predicted ‘binder’ compounds are screened in small pools to identify additional hits.

Enricture is a target-specific, data-driven and iterative approach that combines ASMS hit identification with AI-enhanced hit enrichment. Leveraging the screening data from carefully selected ~150,000 compounds, it reduces the reliance on full-deck compound library (400,000) primary high-throughput screening to identify chemically diverse hits. For Enricture, the screening data from stage 1 and 2 are used to train machine learning models and enrich empirically identified hits with in-silico predicted and subsequently validated hits. Enricture is designed to yield a higher confirmed hit rate whilst significantly reducing timelines (by >30%) and cost (by >50%). Besides the time and cost-saving benefits of the iterative screening approach, this is also achieved by not needing significant assay development and waived compound library access fee.

Success criteria are often subjective and project dependent. The client has the freedom to exit at stage 2 or progress to stage 3. Based on our previous experience, we recommend progression to stage 3 only if at least 100 confirmed hits are identified. This allows for high-confidence in-silico predictions and the greatest chance of success in the AI-enhanced hit enrichment. Therefore, a Go/No Go decision point occurs at the end of stage 2 based on our success criteria recommendation (>100 confirmed hits), reducing risks and economical outlay. 

The list of confirmed hits or “binders” along with their chemical structures will be delivered to the clients at the end of stage 2 and stage 3.

The target is supplied by the client and requires the following characteristics:

• Soluble protein
• MW> 15 kDa​​
• No aggregates​​
• Stable oligomeric state over 24 hrs at 4°C​​
• Detergent free storage buffer​​
• Purity > 90%​​
• Detectable by UV absorbance measurement​​