Cameron Myhrvold

The paper introduces MESSI, a generative diffusion model for deimmunizing proteins by designing sequences with minimal immunogenicity while preserving structure and function.

This study shows that Cas13 uses intersegmental transfers to efficiently search for RNA targets, differing from DNA-binding proteins.

This paper introduces CODEMax and CODEMax(exo+) genome editing systems that enable efficient and precise search-and-replace editing in human cells with reduced off-target effects.

This study shows that fever during influenza A virus infection increases antiviral signaling by promoting aberrant RNA synthesis and innate immune activation.

This study develops an amplification-free CRISPR-Cas13 assay for detecting zoonotic viruses and finds that multiple crRNAs improve sensitivity for some viruses but not others.

This paper introduces a portable microfluidic device for highly multiplexed nucleic acid detection, demonstrating its integration with CRISPR-based technology for rapid pathogen and variant detection.

This paper develops OptoCas13d and ChemoCas13d variants of RfxCas13d that can be controlled by light or small molecules to modulate RNA cleavage with high spatial and temporal precision.

This paper designs artificial CRISPR-Cas13a guide RNAs using model-directed algorithms, showing improved sensitivity and variant discrimination in nucleic acid detection.

The paper develops a CRISPR-Cas13d system for subcellular RNA knockdown in Drosophila and identifies a role for sra in germline development.

This paper develops a CRISPR-based lateral flow assay to detect active coronavirus infection by targeting negative-sense RNA, distinguishing replicating from non-replicating viruses.

The paper shows a bacterial small RNA induces transgenerational learned avoidance in C. elegans, with potential maladaptive effects on beneficial bacteria.

This study investigates how RNA structure affects Cas13 activity, revealing two mechanisms by which secondary structure modulates Cas13 and improving RNA detection through strand displacement.

This paper introduces qCARMEN, a CRISPR-Cas13-based RNA quantitation method that enables high-throughput, cost-effective analysis of over 4,500 gene-sample pairs, with applications in gene regulation and infection studies.

This paper designs viral diagnostics using a model-based optimization approach, achieving higher sensitivity and specificity across viral genomic variation.

This paper develops CRISPR-Cas13a-based diagnostics for real-time detection of Ebola and Lassa viruses in field settings, demonstrating sensitivity and usability in clinical samples.

A machine-learning design pipeline produced CRISPR-Cas13 detection assays for 67 viral taxa; the best of 4 screened SARS-CoV-2 designs reached 10 copies/μl on synthetic RNA.