Michael A. Nash

Signatures of Electron–Hole Hopping in Myoglobin Peroxidase Activity Revealed by Deep Mutational Learning | ACS Catalysis pubs.acs.org/doi/10.1021/ac…

Hemostatic Protein Polymers Reflecting work in the Nash Group Hemorrhage accounts for roughly 40% of trauma-related fatalities and more than a quarter of maternal deaths worldwide... americanpeptidesociety.org/research/hemos…

Check out my seminar titled Engineering Biocatalysts with Large Scale Data. 📄 About 10.1038/s41467-026-69913-z @cassyniapp @AdvPortfolio cassyni.com/events/RtCCCJc…

Check out our latest work on engineering the substrate specificity of an enzyme using high-throughput methods! nature.com/articles/s4146…

Enzyme-Responsive Hemostatic Elastin-like Polypeptides for Fibrin Stabilization and Coagulation Restoration in Thrombocytopenia | Journal of the American Chemical Society pubs.acs.org/doi/full/10.10…

Almost one in ten couples in Germany is involuntarily childless. Many different factors play a role in this... our recent Izumo-Juno study is discussed: radioeins.de/programm/sendu… via @radioeins

Fun project and interesting project spearheaded by @sean_boult - more to come on this topic! How egg and sperm cells hold together so tightly ethz.ch/en/news-and-ev… via @eth

Discovery of Electron Hole-hopping Redox Mutations in Myoglobin by Deep Mutational Learning biorxiv.org/content/10.110… #biorxiv_bioeng

Discovery of Electron Hole-hopping Redox Mutations in Myoglobin by Deep Mutational Learning ift.tt/31SRzWq #biorxiv_bioE

Decoding Substrate Specificity in a Promiscuous Biocatalyst by Enzyme Proximity Sequencing ift.tt/8hlgDZT #biorxiv_bioE

Enzyme-responsive Hemostatic Elastin-like Polypeptides for Fibrin Stabilization and Enhanced Coagulation in Thrombocytopenia ift.tt/aikxgMs #biorxiv_bioE

Thanks @UniBasel_en @UniBasel Grants Office and New Media Center @nmc_unibasel for featuring our lab in this short video on applying for ERC Grants! #pitching #process #biotechnology @ERC_Research youtube.com/watch?v=CANdLF…

Still #1, and still redefining legendary. In US News' national universities rankings — which emphasize academic reputation, student outcomes, university resources, and social mobility — UCLA is the nation's #1 public university. The rankings are published in September. #1UCLA

Session 3 of the #SNEChemBio retreat delivered fascinating insights! 🔹Prof. Ross Milton (@Milton_UNIGE) shared advancements in enzymatic electrochemistry. 🔹Prof. Michael Nash (@nash_lab) presented on deep mutational scanning for enzyme engineering. An inspiring start to Day 2!

Using #AtomicForceMicroscopy-SMFS analysis & SMD simulations, @rafaelcbernardi, @nash_lab et al. show how altering the anchor point can affect the mechanostability of a therapeutic AFF:(PD-L1) complex. #Biophysics @AuburnU @UniBasel_en @ETH_en Read: go.acs.org/bEQ

Force-dependent Reorganization and Mechanostability of the Izumo1:Juno Complex Involved in Human Fertilization biorxiv.org/cgi/content/sh… #biorxiv_biophys

Impact of Interval Censoring on Data Accuracy and Machine Learning Performance in Biological High-Throughput Screening 1. This study investigates how interval censoring in high-throughput screening (HTS) experiments impacts both data accuracy and machine learning (ML) performance in biological systems. 2. The authors introduce the Ratio of Discretization (RD), a dimensionless number designed to optimize HTS parameters like gate width and sample size, minimizing errors and enhancing the predictive accuracy of ML models trained on censored data. 3. The research shows that narrow gate widths and increased sampling in HTS reduce censoring errors, significantly improving the accuracy of fitness predictions by ML models. The study also emphasizes finding a balance between minimizing errors and experimental feasibility. 4. Machine learning models trained on interval-censored data exhibit learning curve behaviors that can be optimized by adjusting HTS parameters. This leads to better understanding of protein fitness landscapes and improves predictive accuracy in evolutionary bioengineering. 5. The study provides guidelines to improve experimental designs, reducing costs and improving outcomes in protein engineering and therapeutic development. @nash_lab 📜Paper: biorxiv.org/content/10.110…

I am happy to share our newest work from the @Nash_lab where we combined genetic code expansion and bacterial surface display. Using an amber codon deep mutational scanning and sequencing workflow, we mapped S-allylcysteine incorporation efficiency across the hArg1 sequence.