Researchers at Stanford have developed ComBind, a computational platform that improves prediction of how drug molecules bind to their protein targets by combining structural modeling with readily available binding data from other molecules.
Stanford scientists have developed a versatile platform that uses tunable sound waves to precisely manipulate and concentrate microscopic particles, cells, and biological materials with high throughput and efficiency.
Stanford scientists have developed an optical imaging system that enables simultaneous monitoring of multiple neural signals across large brain regions with high temporal and spatial resolution.
Stanford scientists have established a modeling based proof-of-concept for a subsurface logging method that reliably distinguishes hydrogen from methane using thermal conductivity, overcoming a major limitation of existing oil-and-gas logging technologies.
Researchers in Prof. Hanlee Ji's laboratory have developed a robust, highly customizable assay for quantifying genetic aberrations on a digital PCR platform.
Stanford researchers at the Ferrara Lab have developed a method to select receptor targets for molecular imaging and therapies by applying spatial transcriptomics, proteomics, and machine learning.
Researchers at Stanford have created a de novo protein design platform that designs binding proteins specifically interacting with the MHC-peptide complex.
Old age is attributed to over fifty percent of the global disease burden. While aging is a sign of normal development early in life, it leads to the loss of youthful traits and bodily function in later years.
Saccharomyces cerevisiae strain BCY123 is provided as an ampoule containing viable cells (yeast cells, spores, or agar cubes with mycelia) suspended in cryoprotectant. This strain can be used for protein production in yeast.
Stanford researchers have developed a specialized bone graft delivery device that can efficiently transport and implant fragmented bone grafts or therapeutics into narrow bone tunnels without disintegration.
Stanford researchers have discovered that Neat1, a long non-coding RNA, regulates degradation of the MYC protein, revealing a new target for treating MYC-dependent cancers.
Stanford researchers have developed a targeted antisense oligonucleotide (ASO) therapy to selectively reduce the expression of NaV1.7, a key sodium channel implicated in chronic pain signaling.
Stanford researchers have developed an innovative platform that automates and optimizes key steps in forensic investigative genetic genealogy (FIGG), a growing method used to solve violent crimes and identify human remains.