Public articles linked to the same research event.
bioRxiv This work proposes ICARus, a positive-unlabelled read-out refinement framework that integrates protein-protein interaction information derived from a protein language model into a genome-wide RNA interference screen to boost the discovery of vaccinia virus-host interactions and human genes with potential antiviral function, and releases the raw and refined read-outs of the screen as an agentic-AI-enabled community resource.
This work proposes ICARus, a positive-unlabelled read-out refinement framework that integrates protein-protein interaction information derived from a protein language model into a genome-wide RNA interference screen to boost the discovery of vaccinia virus-host interactions and human genes with potential antiviral function, and releases the raw and refined read-outs of the screen as an agentic-AI-enabled community resource.
This work proposes ICARus, a positive-unlabelled read-out refinement framework that integrates protein-protein interaction information derived from a protein language model into a genome-wide RNA interference screen to boost the discovery of vaccinia virus-host interactions and human genes with potential antiviral function, and releases the raw and refined read-outs of the screen as an agentic-AI-enabled community resource.
This work proposes ICARus, a positive-unlabelled read-out refinement framework that integrates protein-protein interaction information derived from a protein language model into a genome-wide RNA interference screen to boost the discovery of vaccinia virus-host interactions and human genes with potential antiviral function, and releases the raw and refined read-outs of the screen as an agentic-AI-enabled community resource.