Akshaya and Elijah shared their exciting protein structure prediction research at Summer RosettaCon 2026 in Seattle. Great job representing the Lindert Lab! #RosettaCon2026 #LindertLab #UCLA

Congratulations on your new role, Zach! 🎉We'll miss having you in the lab, but I can't wait to see all the great things you'll accomplish in this next chapter!

Good food, great company, and perfect summer vibes 🔥🍢 Big thanks to Mason for hosting an amazing lab BBQ!

📢 New paper! pubs.acs.org/doi/10.1021/... We explore how deep learning design models capture energetic trends similar to umbrella sampling simulations, using TnC as a case study. This highlights the potential of AI to accelerate the study of conformational landscapes and free-energy changes.

Deep Learning Models Capture Umbrella Sampling-Derived Energetic Trends: A Troponin C Case Study

Deep learning models have transformed several fields lately. In the past, capturing thermodynamic trends from free energies has relied on computationally expensive and time-consuming umbrella sampling...

pubs.acs.org

Excited to share our new tutorial paper: analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/... A practical guide to integrating MS data with modern protein structure prediction methods, covering workflows, tools, and best practices.

Comprehensive Tutorial for Computational Methods of Protein Structure Prediction Incorporating Mass Spectrometry Data

Here we present a series of tutorials demonstrating the use of various methods which integrate structural mass spectrometry (MS) data with computational protein structure prediction methods. We give ....

analyticalsciencejournals.onlinelibrary.wiley.com

We have an opening for a postdoc position focused on computational biochemistry: forms.gle/ELQtS4cb7M93.... Please share widely.

New paper alert! 🧬🔬 We introduce CRIM (cryo-EM + IM-MS), an integrative Rosetta scoring method that combines low-resolution cryo-EM density maps with ion mobility mass spectrometry (collisional cross-section) restraints to improve protein structure prediction. 🔗 pubs.acs.org/doi/10.1021/...

Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling

Proteins play essential roles in cellular processes, and accurate three-dimensional structures are critical for understanding function and enabling drug discovery. High-resolution methods such as cryo...

pubs.acs.org