B. Lehner

Massively parallel genetic perturbation reveals the energetic architecture of an amyloid beta nucleation reaction

The paper uses genetic perturbation and machine learning to analyze the energetics of amyloid beta nucleation, revealing its genetic architecture and transition state structure.

Genetics, energetics and allostery during a billion years of hydrophobic protein core evolution

The paper evaluates the stability and function of randomized hydrophobic protein cores across evolutionary distances, finding that allostery disrupts function despite stable cores.

The allosteric landscape of the Src kinase

This paper presents a method to identify allosteric sites in enzymes and applies it to Src kinase, producing the first comprehensive map of its allosteric control.

A complete map of specificity encoding enables reprogramming of a protein interaction

The paper maps how specificity in protein-ligand interactions is encoded and shows how mutations can reprogram binding specificity across multiple sites.

The genetic architecture of protein stability

This study shows that the genetic architecture of some proteins is simple, allowing accurate prediction using interpretable biophysical models despite the complexity of deep neural networks.

The energetic and allosteric landscape for KRAS inhibition

This paper maps inhibitory allosteric sites in KRAS by analyzing mutations and their effects on protein folding and binding, revealing potential therapeutic targets.

Global mapping of the energetic and allosteric landscapes of protein binding domains

The paper develops a method using deep mutational scanning to map allosteric landscapes of protein domains, revealing widespread allosteric mutations and their effects on binding affinity.