Biosensors for new molecules
Efflux transporter for bioenergy applications
Engineered bacteriophages to combat multiday resistance
Engineered chaperones to combat misplatia
UNDERSTANDING SEQUENCE-FUNCTION RELATIONSHIPS
TECHNOLOGY DEVELOPMENT
USE-INSPIRED ENGINEERING
PROTEINS
GENOMES
BASIC SCIENCE
Impact of protein domains on chromatin states
Gene essentiality maps of phage genomes
Sequence determination of efflux transporter
Molecular rules of protein allostery
TECHNOLOGY DEVELOPMENT
ORACLE: Bacteriophage engineering
Our goal is to understand the functional impact of variants in disease-relevant human genes using deep phenotyping measurements. Functional genomic studies to characterize cellular and clinical consequences of genetic variants lags far behind the pace of genome sequencing. Only a very small fraction of the millions of currently cataloged missense mutations in the human genome has functional annotation. Using deep phenotyping assays, we aim to measure the cellular impacts of mutations in these genes and to cluster mutants based on transcriptional dysregulation. These studies are intended to enable patient-specific drug targeting
SENSORSEQ: Allosteric Protein
Our goal is to understand the functional impact of variants in disease-relevant human genes using deep phenotyping measurements. Functional genomic studies to characterize cellular and clinical consequences of genetic variants lags far behind the pace of genome sequencing. Only a very small fraction of the millions of currently cataloged missense mutations in the human genome has functional annotation. Using deep phenotyping assays, we aim to measure the cellular impacts of mutations in these genes and to cluster mutants based on transcriptional dysregulation. These studies are intended to enable patient-specific drug targeting
ORACLE: Bacteriophage engineering
Our goal is to understand the functional impact of variants in disease-relevant human genes using deep phenotyping measurements. Functional genomic studies to characterize cellular and clinical consequences of genetic variants lags far behind the pace of genome sequencing. Only a very small fraction of the millions of currently cataloged missense mutations in the human genome has functional annotation. Using deep phenotyping assays, we aim to measure the cellular impacts of mutations in these genes and to cluster mutants based on transcriptional dysregulation. These studies are intended to enable patient-specific drug targeting
USED-INSPIRED ENGINEERING
ORACLE: Bacteriophage engineering
Our goal is to understand the functional impact of variants in disease-relevant human genes using deep phenotyping measurements. Functional genomic studies to characterize cellular and clinical consequences of genetic variants lags far behind the pace of genome sequencing. Only a very small fraction of the millions of currently cataloged missense mutations in the human genome has functional annotation. Using deep phenotyping assays, we aim to measure the cellular impacts of mutations in these genes and to cluster mutants based on transcriptional dysregulation. These studies are intended to enable patient-specific drug targeting