Engineering allosteric transcription factors guided by the LacI topology
Allosteric transcription factors (aTFs) are used in a myriad of processes throughout biology
and biotechnology. aTFs have served as the workhorses for developments in synthetic …
and biotechnology. aTFs have served as the workhorses for developments in synthetic …
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
The design choices underlying machine-learning (ML) models present important barriers to
entry for many biologists who aim to incorporate ML in their research. Automated machine …
entry for many biologists who aim to incorporate ML in their research. Automated machine …
Molecular dynamics simulations establish the molecular basis for the broad allostery hotspot distributions in the tetracycline repressor
It is imperative to identify the network of residues essential to the allosteric coupling for the
purpose of rationally engineering allostery in proteins. Deep mutational scanning analysis …
purpose of rationally engineering allostery in proteins. Deep mutational scanning analysis …
Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins
A fundamental question in protein science is where allosteric hotspots–residues critical for
allosteric signaling–are located, and what properties differentiate them. We carried out deep …
allosteric signaling–are located, and what properties differentiate them. We carried out deep …
Advances in ligand-specific biosensing for structurally similar molecules
The specificity of biological systems makes it possible to develop biosensors targeting
specific metabolites, toxins, and pollutants in complex medical or environmental samples …
specific metabolites, toxins, and pollutants in complex medical or environmental samples …
Deep representation learning determines drug mechanism of action from cell painting images
Fluorescent-based microscopy screens carry a broad range of phenotypic information about
how compounds affect cellular biology. From changes in cellular morphology observed in …
how compounds affect cellular biology. From changes in cellular morphology observed in …
Unlocking Green Biomanufacturing Potential: Superior Heterologous Gene Expression with a T7 Integration Overexpression System in Bacillus subtilis
ZY Yao, MJ Yu, QQ Li, JS Gong, P Zhang… - ACS Synthetic …, 2025 - ACS Publications
Industrial biotechnology employs cells for producing valuable products and serving as
biocatalysts sustainably, addressing resource, energy, and environmental issues. Bacillus …
biocatalysts sustainably, addressing resource, energy, and environmental issues. Bacillus …
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors
How a protein's function influences the shape of its fitness landscape, smooth or rugged, is a
fundamental question in evolutionary biochemistry. Smooth landscapes arise when …
fundamental question in evolutionary biochemistry. Smooth landscapes arise when …
Modulation of allostery with multiple mechanisms by hotspot mutations in TetR
For many biomedical and biotechnological applications, modulating allosteric coupling
offers unique opportunities. Such efforts can benefit from the efficient prediction and …
offers unique opportunities. Such efforts can benefit from the efficient prediction and …
Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation
The engineering of living cells able to learn algorithms by themselves, such as playing
board games—a classic challenge for artificial intelligence—will allow complex ecosystems …
board games—a classic challenge for artificial intelligence—will allow complex ecosystems …