Discngine

How much of the promise of Large Language Models (LLMs) has reached drug discovery in practice? Discngine Meetup Vol. 6 - our annual two-hour virtual event - brings experts from pharma and academia together to share hands-on experience with LLMs and multi-agent systems. Designed for drug discovery scientists and computational experts, the programme will cover: • How LLMs are currently used across the DMTA cycle • Where they provide value today and where limitations remain • What comes next for agentic AI in discovery workflows 📅 October 20th, 2026 | 🕒 4:00 PM (CET) / 10:00 AM (EDT) | 📍 Online | 🆓 Free event Explore the full agenda and register today 👇 #discngine #onlineevent #LargeLanguageModels #LLM #AIindrugdiscovery #drugdiscovery #computationalchemistry

How much of the promise of Large Language Models (LLMs) has reached drug discovery in practice? LLMs have gained strong momentum across pharma, with dedicated teams developing and experimenting with these technologies. Their effect on discovery workflows, however, is still taking shape, and many of the benefits initially expected remain to be demonstrated in practice. Discngine Meetup Vol. 6 - our annual two-hour virtual event - explores this topic with experts from pharma and academia sharing hands-on experience and insights. Designed for drug discovery scientists and computational experts, the programme will cover: • How LLMs and multi-agent systems are currently used across the DMTA cycle • Where they provide value today and where limitations remain • What comes next for agentic AI in discovery workflows Andreas Bender (Khalifa University) will open the event with a characterization of LLM agents in drug discovery, followed by talks from Christopher McClendon (Pfizer) and Samuel Genheden (AstraZeneca). 📅 Tuesday, October 20th | 🕒 4:00 PM (CET) / 10:00 AM (EDT) | 📍 Online | 🆓 Free event Explore the full agenda and register today 👇 #discngine #onlineevent #LargeLanguageModels #LLM #AIindrugdiscovery #drugdiscovery #computationalchemistry

Manual SAR reporting costs medicinal chemists days per project, including collecting data, aligning structures, and formatting slides. Discngine Ideation Analytics automates the process. Import your dataset, define a query compound or scaffold, and get a clean, editable SAR report in minutes. Benefit from: ✔️ Rapid SAR analysis based on Matched Molecular Pairs and R-Group Decomposition ✔️ Customizable, visually consistent reports ✔️ Easy exporting and sharing ✔️ Integrations with Spotfire, LiveDesign, and Certara D360 Discover Ideation Analytics: https://hubs.la/Q04sVcbV0

Manual SAR reporting costs medicinal chemists days per project, including collecting data, aligning structures, and formatting slides. Discngine Ideation Analytics automates the process. Import your dataset, define a query compound or scaffold, and get a clean, editable SAR report in minutes. Benefit from: ✔️ Rapid SAR analysis based on Matched Molecular Pairs and R-Group Decomposition ✔️ Customizable, visually consistent reports ✔️ Easy exporting and sharing ✔️ Integrations with Spotfire, LiveDesign, and Certara D360 Discover Ideation Analytics: https://hubs.la/Q04sVc950

Manual SAR reporting costs medicinal chemists days per project, including collecting data, aligning structures, and formatting slides. Discngine Ideation Analytics automates the process. Import your dataset, define a query compound or scaffold, and get a clean, editable SAR report in minutes. Benefit from: ✔️ Rapid SAR analysis based on Matched Molecular Pairs and R-Group Decomposition ✔️ Customizable, visually consistent reports ✔️ Easy exporting and sharing ✔️ Integrations with Spotfire, LiveDesign, and Certara D360 Discover Ideation Analytics: https://bit.ly/3RniKgu

Manual SAR reporting costs medicinal chemists days per project, including collecting data, aligning structures, and formatting slides. Discngine Ideation Analytics automates the process. Import your dataset, define a query compound or scaffold, and get a clean, editable SAR report in minutes. Benefit from: ✔️ Rapid SAR analysis based on Matched Molecular Pairs and R-Group Decomposition ✔️ Customizable, visually consistent reports ✔️ Easy exporting and sharing ✔️ Integrations with Spotfire, LiveDesign, and Certara D360 Discover Ideation Analytics: https://bit.ly/4531fFA