TransparencyWins
Case studies
5x Boost in In-Silico Drug Discovery with a Multimodal LLM

Case study

5x Boost in In-Silico Drug Discovery with a Multimodal LLM

HealthcareUnited States

Case study summary

Working with the client’s in-silico drug discovery team, we developed a pipeline to train multi-modal LLMs with a deep understanding of chemistry. We integrated Llama 3.1 and Graphormer, incorporating molecular structures as graphs into the LLM, creating a unique model that could analyze textual, SMILES, and molecular data.
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TransparencyWins ecosystem context

This case study was contributed by deepsense.ai, a software engineering partner represented in the TransparencyWins ecosystem. Case studies make delivered project experience, project context and reported outcomes visible to tech buyers. Review this contribution together with available client testimonials, partner insights, certifications and other company signals when evaluating relevance for a sourcing need.