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Great turnout at yesterday’s BPS Arizona Student Chapter Science Trivia! 🧠✨ Gift cards will be sent out soon to our winners. Thanks to everyone who participated and made the event a success. Here’s to more fun and learning in science! 🔬💡

6 years and simulating 13 milliseconds later #Chun & #Jon finds how "Transient protein structure guides surface diffusion pathways for electron transport in membrane supercomplexes." researchsquare.com/article/rs-546…

The BPS Arizona Student Chapter Biophysical Society activities make me a really proud mentor !! Calendars coming soon :)

#JobOpening The group is looking for *2 new graduate students* in Computational Biophysics (QM/MM; MD; informatics, systems biology broadly defined) for start in the Fall, 2025. Plz apply to ASU School of Molecular Sciences, and prompt us in your app. RT & mail me app directly !

Wishing a Happy 2025 from the entire team ASU School of Molecular Sciences & Biodesign Institute at Arizona State University !! Sounds on for the background music. It synced remarkably well this time :)

First paper of 2025 with Ross Wang Lab & #AlisonOndrus Here is a cute and practical technique by Sumit for studying reactions under external force, complementing #CoGEF methods. #compchem cell.com/heliyon/fullte… Heliyon ASU School of Molecular Sciences Chemistry at UIC

Group embarking on it's most exciting program, combining proteome/cell-scale (100 M atom+) simulations with deep leaning !! Immediately seeking researcher scientists with experience, offering 6-figure salary..need to recruit in ASAP. Requesting DM & RT !!

Great to see the term ‘computational microbiology’ being used increasingly! A phrase Colin Kleanthous and I came up with a few years ago for our ‘put as many details in as possible’ approach to computational systems. A departure from traditional reductionist approaches

🕊️ Remembering Dr. Andrew Chizmeshya 🕊️ A brilliant scientist, devoted mentor, and gifted musician, Dr. Andrew Chizmeshya left a lasting legacy within the School of Molecular Sciences. He is deeply missed and fondly remembered by his students, colleagues, friends, and family. 💛

🚨 New in multiple myeloma research! 🚨 We discovered a novel cereblon variant with dual exon 8 & 10 deletions in newly diagnosed and relapsed MM patients. This alteration compromises IMiD drug efficacy by disrupting E3 ligase function. 🧬 Molecular modeling + wet lab

We introduce HLA-Inception, a deep learning model that predicts MHC-I peptide binding motifs using only electrostatic features of the binding pocket—offering a physics-based alternative to traditional sequence-based approaches. Trained on just 133 alleles, the model generalized

Amazing images we received this year😁 Discover! Disseminate! Develop! Biophysical Society

"The Dawn of Biophysical Representations in Computational Immunology" We explore how biophysics + AI are reshaping immune modeling. 🧬⚛️ From atom to organism, we map genotype to phenotype with new precision. 🔗 cambridge.org/core/journals/… Most models use sequence data alone —

Fully theoretical breakfast with new colleague Yannis Kevrekedis..Have followed his work on ‘equation-free modeling’ since PhD..will do a joint project soon :)

🚨 NEW PAPER ALERT 🚨 We discovered how bacteria control the direction of their molecular motors—unlocking a gear-shifting mechanism at the nanoscale. 🧵 🔬 In Flavobacterium johnsoniae, gliding motility is powered by the Type 9 Secretion System (T9SS)—a rotary motor that drives

Our first DARPA program 'NODES' is about to begin, come join us if you share the same vision. The Network of Optimal Dynamic Energy Signatures (NODES) program aims to develop a groundbreaking deep learning tool, informed by the principles of biophysics, that can analyze vast

NODES: Network of Optimal Dynamic Energy Signatures program aims to develop a groundbreaking deep learning tool, informed by the principles of biophysics, that can analyze vast numbers of protein sequences and predict their biological functions by identifying telltale patterns

Our first DARPA program NODES is about to begin, come join us. Here is a glimpse of the broader vision. "A to-do list for realizing the sequence-to-function paradigm of proteins" #currentopinionsinstructuralbiology Despite AlphaFold's success, inferring function from sequence