E. J. Petersson

The LexA-RecA* structure reveals a lock-and-key mechanism for SOS activation

The paper determines the structure of the LexA-RecA* complex, revealing a lock-and-key mechanism that triggers SOS response gene induction by enabling LexA cleavage.

Nanomolar interactions of alpha-synuclein fibrils to tau determined by FCS

The paper investigates interactions between tau and alpha-synuclein using FCS, finding stronger binding with fibrillar alpha-synuclein than monomers, without affecting tau aggregation.

Semi-synthetic CoA-alpha-Synuclein Constructs Trap N-terminal Acetyltransferase NatB for Binding Mechanism Studies

This study creates a semi-synthetic inhibitor of NatB using coenzyme A and full-length alpha-synuclein, revealing structural and conformational changes upon binding.

Engineered RecA constructs reveal the minimal SOS activation complex

This study identifies the minimal RecA* filament required for LexA cleavage by showing that three linked RecA units can bind ssDNA and trigger LexA degradation.

Harnessing the Intrinsic Photochemistry of Isoxazoles for the Development of Chemoproteomic Crosslinking Methods

This paper introduces a new photo-crosslinking method using isoxazole's intrinsic photochemistry, validated across multiple proteins in vitro and ex vivo.

Genetic Encoding of a Highly Photostable, Long Lifetime Fluorescent Amino Acid for Imaging in Mammalian Cells

The paper introduces a genetically encodable fluorescent amino acid, Acd, with superior photostability and long fluorescence lifetime for use in FLIM and protein studies.

Differential gene expression by RNA-Seq in Sigma-2 Receptor/TMEM97 knockout cells reveals its role in complement activation and SARS-CoV-2 viral uptake

This study uses RNA-Seq to identify differentially expressed genes in sigma-2R/TMEM97 knockout cells, revealing its role in complement activation and SARS-CoV-2 viral uptake.

Insights into Genome Recoding from the Mechanism of a Classic +1-Frameshifting tRNA

This study elucidates the mechanism of +1-frameshifting by tRNA SufB2, showing it uses triplet-slippage and ribosome conformational changes to decode quadruplet codons for genome recoding.

Rosetta Custom Score Functions Accurately Predict ΔΔG of Mutations at Protein-Protein Interfaces Using Machine Learning

The paper shows that machine learning reweights Rosetta energy terms to better predict ΔΔG values for protein-protein interface mutations.

A Unified De Novo Approach for Predicting the Structures of Ordered and Disordered Proteins

This paper develops PyRosetta-based algorithms for de novo prediction of protein structures, including both ordered and disordered proteins, with accuracy comparable to MD simulations but lower computational demands.