> Automated Zoonotic Surveillance & Drug Repurposing Agent
Advanced AI protection against human threats by autonomous scanning for new zoonotic viruses and drug repurposing. Publicly funded academic research, developed in the European Union (EU).
VirSentAI is a multimodal agent for zoonotic defense & therapeutic data fusion, an autonomous, tri-model agent designed to close the gap between viral emergence and therapeutic response. It orchestrates a unified surveillance workflow by continuously synthesizing intelligence from three specialized AI architectures:
- Model 1: MedGemma LLM for context extraction (medgemma-4b-it-Q8_0),
- Model 2: HyenaDNA for genomic risk prediction (hyenadna-medium-160k-seqlen-hf),
- Model 3: PLAPT AI, a Transformer using molecular embeddings for chemical affinity screening.
This end-to-end data fusion transforms raw genomic sequences and unstructured text into actionable therapeutic candidates, providing a scalable solution for proactive pandemic preparedness.
Viral Sentry AI is a cutting-edge platform with the core as the new VirSentAI model, a unique AI model specifically fine-tuned from the pretrained HyenaDNA architecture for the task of predicting human host tropism. The platform is engineered to automatically and continuously scan public DNA databases for new viral sequences and metadata. For each virus with at least 90% of probability of human infection, the PLAPT pre-trained model is calculated the affinity energy between the viral proteins and the current ChEMBL approved drugs.
Our mission is to leverage artificial intelligence and bioinformatics to provide actionable insights for researchers, health professionals, and policymakers. In alignment with this goal, the VirSentAI tool is free access and open-source software, with the code publicly available on GitHub.
Cristian R. Munteanu
- AI and Bioinformatics expert, lead programmer, and methodology designer
- Affiliation: CITIC, University of A Coruña, Spain
- ORCID: 0000-0002-5628-2268
Jose Vázquez-Naya
- AI, ontologies, and cybersecurity expert
- Affiliation: CITIC, University of A Coruña, Spain
- ORCID: 0000-0002-6194-5329
Eduardo Tejera
- Bioinformatics expert with experience in virus prediction models.
- Affiliation: Universidad de Las Américas, Quito, Ecuador
- ORCID: 0000-0002-1377-0413