Skip to main content
Excelra at Drug Discovery Chemistry (DDC) 2026

Excelra at Drug Discovery Chemistry (DDC) 2026

Excelra is excited to participate in Drug Discovery Chemistry (DDC) 2026, a premier forum for medicinal, biophysical, and computational chemists across pharma, biotech, and academia. Join us in San Diego to explore how data, AI, and advanced informatics are accelerating early drug discovery—from hit identification to lead optimization.

Drug Discovery Chemistry is a dynamic, multi-track conference focused on the discovery and optimization of small-molecule and macrocyclic drug candidates. The 2026 program features new and expanded sessions spanning:

  • AI- and ML-driven molecular design
  • Fragment- and structure-based drug discovery
  • Molecular glues and targeted protein degraders
  • DNA-encoded libraries (DELs)
  • Emerging biophysical and computational tools

Attendees can tailor their experience through concurrent tracks covering the most innovative approaches shaping modern drug discovery.

Date: Apr 13–16, 2026
Location:Town and Country Resort, San Diego, CA

Share with your friends

Meet Excelra at Booth #414

Visit Booth 414 to discover how Excelra enables discovery teams to turn complex chemistry and biology data into faster, more confident decisions. Our experts will demonstrate how our scientific informatics platforms, AI/ML models, and curated datasets support:

  • Early-stage target and hit identification
  • SAR-driven lead optimization
  • AI-enabled compound design and prioritization
  • Seamless integration of chemistry, biology, and bioactivity data

Powering Data-Driven Discovery with GOSTAR™

At DDC 2026, Excelra will highlight GOSTAR™, our flagship, highly curated structure–activity relationship (SAR) database designed to support modern drug discovery programs.

GOSTAR™ enables scientists to:

  • Explore deep, experimentally validated SAR data across small molecules
  • Analyze bioactivity, selectivity, and potency trends with confidence
  • Accelerate hit-to-lead and lead optimization workflows
  • Support AI/ML models with high-quality, decision-ready chemistry data

By combining GOSTAR™ with advanced analytics and AI-driven workflows, Excelra helps teams move from data to insight—faster and at scale.

Podium presentation

 

Title- When LLMs Meet Chemistry Data: What Broke and Why It Matters

Talk title- AI / Machine Learning for Early Drug Discovery – Part 2

Speaker: Norman Azoulay

We share results from applying LLMs and ML tools to large-scale curated SAR data across three use cases: natural language querying of complex data models, automated structure extraction from patents, and AI interpretation of experimental data without sufficient context. For each, we show what worked, what didn’t, and what the gap between model capability and domain-specific reality actually looks like. We close with a working prototype and an honest take on where the bottleneck has shifted: from model intelligence to data readiness.

Join this session to learn how AI and machine learning are being practically applied to real-world early discovery challenges, leveraging high-quality data, scalable informatics, and integrated discovery workflows.

April 16, 2026

11:05 AM

Let’s Connect in San Diego

Whether you’re modernizing early discovery, scaling AI-driven design, or strengthening your SAR strategy, Excelra would love to connect.

Norman Azoulay

Vice President Platforms & Data
Scientific Products

Lakshmi-Maithel-excelra

Lakshmi Maithel

Business Development Lead
Sales

Abhishek-Nainani

Abhishek Nainani

Director
Key Accounts & Business Development

Fill out the form to schedule a meeting with our team at the event.

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
By registering, you agree to our Privacy Policy. You can review your consent preferences anytime. You also have the right to withdraw consent, correct or access your data.
Excelra mails