Santiago D. Schnell

Ehrlich occupancy time: Beyond koff to a complete residence time framework

The paper introduces a new framework for calculating drug-target occupancy time that incorporates association, dissociation, rebinding, and elimination rates, showing how these factors jointly influence in vivo efficacy.

Structural hormesis in protein aggregation: A minimal mechanistic model

The paper develops a minimal mechanistic model showing that protein aggregation can exhibit hormesis, with low-dose stimulation and high-dose inhibition, arising from network topology.

EpiPred: A gene-specific machine learning model for classifying missense variants in the epilepsy-related gene STXBP1

EpiPred improves STXBP1 variant interpretation, enabling precision genetic diagnoses and promoting access to targeted precision therapies.

The unreasonable effectiveness of the total quasi-steady state approximation, and its limitations

The paper analyzes the validity of the total quasi-steady state approximation in the Michaelis-Menten reaction mechanism, showing its limitations at high initial substrate concentrations and identifying conditions under which it is a valid approximation.

Branched germline cysts and female-specific cyst fragmentation facilitate oocyte determination in mice

The paper identifies branched germline cyst structures in mice and shows they facilitate oocyte determination through directional cytoplasmic transport and cyst fragmentation.

The human disease gene CLEC16A encodes an intrinsically disordered protein region required for mitochondrial quality control

This study identifies an intrinsically disordered protein region in CLEC16A critical for mitochondrial quality control and diabetes prevention.

Information processing by endoplasmic reticulum stress sensors

The paper shows that ER stress sensors use a bidirectional mechanism to improve information about ER stress by integrating signals from unfolded proteins and chaperones.

Disorder Atlas: web-based software for the proteome-based interpretation of intrinsic disorder predictions

Disorder Atlas provides a web-based tool for interpreting intrinsic disorder predictions using proteome-based statistics and enables large-scale exploration of disorder features.

Dynamic recruitment of single RNAs to processing bodies depends on RNA functionality

The paper tracks RNA localization to processing bodies using single-molecule microscopy and shows that RNA functionality influences their dynamic recruitment to PBs.

How to design an optimal sensor network for the unfolded protein response

The paper develops a model of the unfolded protein response in yeast and uses optimization to show chaperone-mediated sensors are more efficient than direct unfolded protein sensors.

Inferring intracellular signal transduction circuitry from molecular perturbation experiments

This paper introduces a logic-based network inference method to predict intracellular signaling circuits from perturbation experiments, validated on EGF receptor signaling in breast epithelial cells.