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Vincent Voelz

@voelzlab.bsky.social
206 followers 245 following 40 posts

Professor of Chemistry at Temple University. Molecular simulation, stat mech, ML/DL, protein dynamics, biophysics, Bayesian inference, computational design, drug discovery. orcid.org/0000-0002-1054-2124 sites.temple.edu/voelzlab

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Reposted by Vincent Voelz
Rasmus Jensen @rasmusjensen.bsky.social · 25/09/2026
🎉 Out today in Cell: the paper I've been looking forward to sharing for a long time 🎉 We used cryo-ET to find a molecular machine nobody knew existed on the surface of a minimal bacterium, and worked out what it does. 🧵(1/7) #TeamTomo #cryoET
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Nature @nature.com · 16/09/2026
Nature research paper: Development of a random background to understand ligand optimization go.nature.com/4xYm7KT
go.nature.com
Development of a random background to understand ligand optimization - Nature
An approach to improve efficiency and establish a background expectation for ligand potency optimization is described.
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chipotlab.bsky.social @chipotlab.bsky.social · 10/09/2026
No predefined reaction coordinate. No mechanistic guesswork. No massive sampling campaign. Gen-COMPAS reconstructs biomolecular transition pathways from endpoint structures alone. Protein folding, allostery, membrane transport. Now in Nature. @nature.com @springernature.com
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Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social · 05/09/2026
My neighborhood...I love it. www.inquirer.com/news/philade...
inquirer.com
SEPTA bus drives through wet concrete outside of Termini Bros. in what locals say is the ‘most South Philly thing ever’
A SEPTA Route 47 bus got stuck in freshly poured concrete on Thursday, only two minutes after city crews repaired the road outside of Termini Brothers in South Philadelphia.
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Purushottam Dixit @pdixit.bsky.social · 31/08/2026
1/ New paper out! Aging has been described as a loss of "information", but nobody could quantify it. We built a stat phys model for it. We found taht communication fidelity in gene regulation drops with age across multiple tissues, making it a hallmark of aging! 🧵: www.cell.com/cell-reports...
cell.com
An information-theoretic framework for transcriptional regulation reveals declining communication fidelity in aging
Emison et al. develop an information-theoretic framework that decomposes communication fidelity in gene regulatory networks. Applying this framework to single-cell RNA-seq data across aging tissues, they find that communication fidelity declines, driven primarily by shifting input distributions rather than increased channel noise.
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Carolyn Bertozzi @carolynbertozzi.bskyverified.social · 31/08/2026
Sad news. Yonath was/is a legend indeed. Now there are only 4 living female @nobelprize.org laureates in chemistry. There are 20 living Nobel Prize winners just at Stanford right now.
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 25/08/2026
Predicting RNA structure is hard, and predicting RNA dynamics is even harder We combined extensive NMR data with MD simulations to study the dynamics of RNA tetraloops By projecting onto the universe of tetraloop structures, we show how NMR+MD captures structures not seen by prediction methods
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Hannah Wayment-Steele @hkws.bsky.social · 21/08/2026
@ginaelnesr.bsky.social and I are excited to release makeshift -- a lightweight package to lower the barrier for using NMR dynamics data in ML. We hope this can pave the way for more NMR-based models like Dyna-1! Preprint: biorxiv.org/content/10.6... Docs: makeshift-docs.readthedocs.io
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OpenBind @openbind.bsky.social · 21/08/2026
OpenBind's first AI model is now live! Built on #OpenBind's open protein-ligand binding datasets, and machine learning, the model helps researchers identify promising drug candidates faster and supports more data-driven drug discovery. loom.ly/X97SzJc #OpenScience #AI #DrugDiscovery
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Proceedings of the National Academy of Sciences @pnas.org · 20/08/2026
Journal Club: Probes show lipids are far more selective for proteins than once thought. In PNAS Front Matter: ow.ly/aeRW50ZBWL8
Recent findings suggest that lipids do not simply diffuse randomly around the lipid bilayer (shown here) but have specific proteins they preferentially pair with. 
Image credit: Science Source/KATERYNA KON.
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Protein Society @proteinsociety.bsky.social · 12/08/2026
🏆 Nominations for the 2027 Awards are open through Nov. 1! Award Spotlight: Protein Science Young Investigator Award (sponsored by Wiley), recognizing early career scientists who have made important contributions to protein research. Learn more here: www.proteinsociety.org/awards-eligi...
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Bryan Dickinson @chembiobryan.bsky.social · 06/08/2026
1/ Binder ≠ inhibitor. Most PPI inhibitor campaigns find a binder first, then hope it blocks the target protein-protein interaction. We built a system that skips the hoping and selects directly for disruption of a pre-formed PPI. Meet PANCS-Inhibitors. 🧵 www.biorxiv.org/content/10.6...
biorxiv.org
PANCS-Inhibitors: A rapid method to directly select for protein-protein interaction inhibitors
Aberrant protein-protein interactions (PPIs) drive myriad diseases. Inhibiting these PPIs often relies on discovering molecules that bind to one of the proteins and hoping that this binding inhibits t...
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pilarcossio.bsky.social @pilarcossio.bsky.social · 07/08/2026
⚡ Time is running out! ⚡ The deadline for the @biophysicalsoc.bsky.social Theory & Computation Awards is Sept 15! 🧬💻 Recognizing outstanding research across: 🎓 Postdocs 🌱 Early Career 🚀 Mid-Career Nominate a student or colleague! 🧪✨ 👇 Details: www.biophysics.org/Awards-Fundi...
biophysics.org
Subgroup Awards - The Biophysical Society
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Vincent Voelz @voelzlab.bsky.social · 07/08/2026
Congrats to Guangfeng Zhou, Ph.D., who joins the Wistar Institute in Philly as an assistant professor! Guangfeng was one of the first grad students to join my lab at Temple in 2011 when *I* was an assistant prof; he went on to trailblaze AI-based drug discovery at the IPD at Univ. of Washington
wistar.org
The Wistar Institute Strengthens AI-Driven Drug Discovery with Recruitment of Computational Biophysicist Guangfeng Zhou
The Wistar Institute Strengthens AI-Driven Drug Discovery with Recruitment of Computational Biophysicist Guangfeng Zhou Press Releases
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Nick Polizzi @nickpolizzi.bsky.social · 05/08/2026
We can design "static" binders routinely now, but design of "dynamic" shape-changing proteins has remained quite hard. Jeffrey Chang and I asked: why can't we couple small-molecule binding to shape change? After all, natural proteins do it every day. In a new preprint, we show how it can be done. 🧵
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Phil Biggin @philbiggin.bsky.social · 05/08/2026
Latest preprint where we pooled our sim experiences to create "MDArena" for AI agents trying to automate MD simulation and analysis. Great work led by Nithishwer Mouroug Anand and @weitse-hsu.bsky.social and thanks to all lab members! @oxfordbiochemistry.bsky.social arxiv.org/abs/2608.02642
arxiv.org
MDArena: Evaluating Coding Agents on Realistic Molecular Dynamics Workflows
Accelerating scientific discovery is among the most consequential applications of AI, and computational biomolecular simulation stands out as a particularly promising target within this broader effort...
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Chris Bahl @cdbahl.com · 05/08/2026
Every protein designer knows that producing & testing designed proteins is a foundational capability for our field, & this is still pretty challenging for a lot of folks. This is why I'm delighted to share our work to make high-throughput protein production more accessible dx.doi.org/10.1002/pro....
dx.doi.org
Facile, high‐throughput protein purification enabled by high‐efficiency protease elution
While advances in artificial intelligence have made protein design widely accessible, protein production and characterization remain a bottleneck. Protease-cleavable affinity tags are commonly used t....
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Ben Lehner @benlehner.bsky.social · 03/08/2026
1st genome sequenced (Sanger 1977), 1st genome synthesised (Venter 2003), 1st genome + proteome fully mutated (Huijin Xiangua 2026!) @crg.eu @sangerinstitute.bsky.social Complete Mutagenesis of the Genome and Proteome of ΦX174 www.biorxiv.org/content/10.6...
biorxiv.org
Complete Mutagenesis of the Genome and Proteome of ΦX174
The bacteriophage ΦX174 was the first genome to be sequenced and the first to be chemically synthesised. Here we present a complete map of the consequences of changing every nucleotide in the ΦX174 ge...
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Sukrit Singh @sukritsingh92.bsky.social · 03/08/2026
📣 ❗2nd Preprint of the Summer ❗ 📣 "Kinase inhibitors can change protonation or tautomeric state upon binding." LInk: doi.org/10.64898/202... We find that kinase-inhibitors can change in net-charge and tautomer state upon binding (from solution-state to kinase-bound), affecting med-chem choices!
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Vincent Voelz @voelzlab.bsky.social · 12/07/2026
In collaboration with Jiwon Seo‘s group at GIST, we are pleased to be co-authors on a new paper describing the structure of peptoid oligomers in nonpolar solvent! doi.org/10.1021/acs.... 1/n
doi.org
Noncanonical Folding of Peptoid Oligomers: Formation of a Closed Conformation in Nonpolar Solvent
Conformational behavior of peptoids in low-dielectric solvents remains poorly understood despite its relevance to membrane environments. Here, conformations of N-(S)-1-phenylethylglycine (Nspe) homo-o...
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Vincent Voelz @voelzlab.bsky.social · 11/07/2026
Just submitted my public comment on the new proposed OMB rules before the July 13 deadline. You can too, here: www.federalregister.gov/documents/20... Helpful guidance found here: * www.acs.org/policy/washi... * elizabethginexi.substack.com/p/what-we-ne... * www.biophysics.org/blog/what-is...
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Bettina Keller @bettinagkeller.bsky.social · 08/07/2026
📢 We're hiring a PhD student (4 years) in computational chemistry at Freie Universität Berlin. Research on molecular dynamics, molecular kinetics, rare events & machine learning. Apply by 3 Aug 2026: jobs.fu-berlin.de/job/Research... #CompChem
jobs.fu-berlin.de
Research assistant (praedoc) (f/m/d) DM-786
Research assistant (praedoc) (f/m/d) DM-786
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Nick Polizzi @nickpolizzi.bsky.social · 26/06/2026
Our lab's paper on the de novo design of small-molecule binding proteins is out! In it, we show how neural nets can be trained and used to design binders to drugs with very high success rates. www.nature.com/articles/s41...
nature.com
Zero-shot design of drug-binding proteins via neural iterative selection−expansion - Nature
 By pairing two neural networks in an iterative optimization algorithm, small-molecule binding proteins can be designed from scratch with high accuracy, affinity and success rates, showing p...
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Sergey Ovchinnikov @sokrypton.org · 15/06/2026
New Experimental Google Colab Notebook now integrates AlphaFold3 with OpenFold3 and py2Dmol: colab.research.google.com/github/sokry... (1/3)
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Julian Streit @julianstreit.bsky.social · 16/06/2026
Excited to share our work describing structural ensembles of protein folding intermediates on the ribosome is now published in @natsmb.nature.com ! www.nature.com/articles/s41... Very grateful to co-first author @sammyhschan.bsky.social, our supervisor John Christodoulou and all our co-authors.
nature.com
Structures of protein folding intermediates on the ribosome - Nature Structural & Molecular Biology
Atomistic structural ensembles of protein folding intermediates on the ribosome are resolved by comprehensive 19F nuclear magnetic resonance analyses integrated with molecular dynamics simulations, pr...
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Instruct-ERIC @instruct-eric.bsky.social · 11/06/2026
In May, the @openbind.bsky.social project (hosted at @diamondlightsource.bsky.social , part of Instruct-UK) produced its first public release of experimental data. This represents a crucial milestone for open science! You can read more on our website: instruct-eric.org/news/openbin...
instruct-eric.org
OpenBind's First Public Release
Instruct-ERIC is a pan-European research infrastructure in structural biology, making high-end technologies and methods available to all European researchers.
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Sam Foley @samuelfoley.com · 11/06/2026
🧪⚛️ Our paper is finally published in Phys Rev Research! doi.org/10.1103/cnfz... Can cells make decisions using equilibrium physical principles, without resorting to irreversible, energy-consuming signaling cascades? We say yes, with the help of self-assembling membrane proteins! 🧵(1/7)
Plot of fractional response vs receptor concentration, comparing three different "passive sensing mechanisms": direct binding from solution, membrane-assisted binding, and membrane self-assembly.
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 05/06/2026
Time-resolved experiments are powerful, but difficult to interpret ⏱️💃 In "A Bayesian Approach to Interpret Time-Resolved Experiments Using Molecular Simulations" Carl Henning Hansen and Simone Orioli developed an approach to use MD to interpret time-resolved experiments doi.org/10.1021/acsp...
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 15/05/2026
Why is it so difficult to predict accurate mutational effects on protein stability? We explored the contribution from changes in native state configurational entropy in this paper, which also happens to be the last from my PhD. A short thread of why this matters. 1/n doi.org/10.48550/arX...
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Peter Škrinjar @peterskrinjar.bsky.social · 11/05/2026
Now published in NSMB! Paper: doi.org/10.1038/s415... Full PDF: rdcu.be/fhBtI Overview of additions since the preprint👇 (1/5)
doi.org
Evaluating generalization in protein–ligand cofolding methods - Nature Structural & Molecular Biology
This work introduces the Runs N’ Poses dataset for benchmarking deep learning methods on the protein–ligand complex prediction task. It shows that current methods rely on memorization, challenging the...
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Open Force Field @openforcefield.org · 12/05/2026
Have you read about our GNN model for assigning partial charges? It's at the heart of both our Sage 2.3.0 force field and the protein force field we're developing. The paper was published last month in JCTC. pubs.acs.org/doi/10.1021/...
pubs.acs.org
Developing and Benchmarking Sage 2.3.0 with the AshGC Neural Network Charge Model
Partial atomic charges are a fundamental component underlying classical molecular simulations, but assigning charges remains a computational bottleneck; many common methods rely on quantum mechanical ...
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Open Free Energy @openfree.energy · 30/04/2026
openfe now supports simulations of membrane proteins! openfree.energy/science/upda...
openfree.energy
openfe v1.11: Introducing support for membrane systems
We are pleased to announce the release of openfe version 1.11!
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Martin Pacesa @martinpacesa.bsky.social · 29/04/2026
I am happy to share a review I recently wrote on the design of peptide binders. It gives an overview of experimentally validated tools and discusses the challenges of why peptide design is more difficult than the design of classical protein binders. www.chimia.ch/chimia/artic...
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pilarcossio.bsky.social @pilarcossio.bsky.social · 29/04/2026
Very excited to share MIMIC: check it out! An amazing team effort!
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Marta Filizola @martafilizola.bsky.social · 25/04/2026
We are inviting applications for a research scientist/postdoctoral associate position in the broad field of computational chemistry/biophysics/AI-driven drug discovery. Please DM your CV and 2 reference names
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Miro Astore @miroastore.bsky.social · 24/04/2026
We just preprinted one of my favorite studies @FlatironInst . I was lucky to be part of an amazing team studying the effects of rapid cooling to preserve samples in cryoEM. Read on to learn about the limits of cryoEM for biophysics and how to overcome them www.biorxiv.org/content/10.6...
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Open Force Field @openforcefield.org · 21/04/2026
Our latest Science Update video is here, and it's a big one! Science Lead @lilyminium.bsky.social, in spite of a cough, delivers 25 minutes of non-stop scientific action and high-octane thrills across all our areas of force field science. youtu.be/ZIw2JlCfSso
youtu.be
April 2026 Science Update
YouTube video by Open Force Field Initiative
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Minji Lee @m1nj2.bsky.social · 21/04/2026
We introduce ConforNets, a mechanism for conformational control in AlphaFold3 models - SoTA at producing diverse conformations on every multistate benchmark (N=104) - Novel capability: transfer state from one protein to another Outperforms BioEmu, ConforMix and AFsample3 🧵1/8
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Chenggong惠成功 @chenggonghui.bsky.social · 30/03/2026
Our new FEP sampling engine GrandFEP is now on GitHub and Chemrxvi. We implemented GCMC, Water-Swap MC, REST2, and terminal-flip MC in OpenMM. Github github.com/deGrootLab/G... Chemrxiv doi.org/10.26434/che...
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Phil Biggin @philbiggin.bsky.social · 10/02/2026
something to digest... ;-)
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Xuhui Huang @xuhuihuangchem.bsky.social · 01/02/2026
Our recent preprint shows that metastable, short-lived PPIs captured by MD and IGME define key design targets for PROTACs, enabling rational discovery of sub-nanomolar RIPK1 degraders. Great collab w/ Weiping Tang! Congrats to Yue & co-authors! chemrxiv.org/doi/full/10.... -
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Elisa Fadda @elisafadda.bsky.social · 01/02/2026
"In contrast to previous attempts at iterative optimization, we employ a validation set to determine convergence. Using a validation set circumvents problems with parameter convergence and flags when overfitting occurs" pubs.acs.org/doi/full/10....
pubs.acs.org
Robust and Automated Force Field Parameterization Using Validation Sets and Active Learning
Molecular mechanics force fields enable atomistic simulations of complex systems that are too large for a quantum mechanical treatment. Simulation accuracy depends on the parameters employed in the fo...
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Stephanie Wankowicz @stephanieaw.bsky.social · 21/01/2026
New Preprint!! We show that binding entropy can be quantitatively predicted from crystallographic ensemble models, accounting for both protein conformational entropy and solvent entropy! www.biorxiv.org/content/10.6...
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 21/01/2026
Third preprint of the year is from @julianstreit.bsky.social who, with our collaborators at Peptone, show that multithermal On-the-fly Probability Enhanced Sampling (OPES) enables efficient generation of atomistic ensembles for disordered peptides and proteins 🍝 www.biorxiv.org/content/10.6...
Figure 1 from the paper: Sampling disordered peptides and proteins with OPES multithermal simulations. a. Representative multithermal molecular dynamics simulation showing fluctuations in potential energy (left) as the system explores a broad temperature range (colour scale). The right panel shows the relative effective sample size, N_eff, sampled across temperatures, demonstrating relatively uniform ensemble coverage. The black horizontal line represents the expected sample size in an equivalent temperature replica exchange setup (1 / M, where M is the number of temperatures). B. Structures of the most helical conformations sampled during multithermal simulations for four systems of increasing complexity: the helical control peptide (AAQAA)3, the ACTR20-60 fragment, full-length ACTR, and HTTex1 with 16 glutamine repeats (16Q). c. Free-energy landscapes plotted as a function of helicity (see Methods) and radius of gyration for the ACTR20-60 fragment, full-length ACTR and HTTex1 16Q at 300 K.
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Vanni Lab at UNIFR, Switzerland @labvanni.bsky.social · 22/01/2026
The work by @danialv.bsky.social is now out in @pnas.org with a few changes after peer-review. Have a look if you are interested in lipid transport by bridge lipid transfer proteins (BLTPs)... www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Michelle Francl @michellefrancl.bsky.social · 06/01/2026
When I wrote my latest for @natchem.nature.com on the appropriation of the quantum mechanical lexicon by scam artists, could I have imagined that the surgeon general of Florida would be peddling the woo? Alas, probably. rdcu.be/eXQL (1/3)
rdcu.be
Quantum quacks
Nature Chemistry - It is 100 years since the initial development of quantum mechanics, and not only did it bring with it a greater understanding of the world around us, it also introduced a new...
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Adrian Roitberg @adrianroitberg.bsky.social · 05/01/2026
New Preprint dropped. LAMMPS + ANI, a super fast implementation of MLIPs. Highly parallel (> 1000 GPUS) and much faster than anything else out there ! Work done by the amazing @ignaciopickering.bsky.social, @nickterrel.bsky.social , and Jinze (Richard) Xue. chemrxiv.org/engage/chemr...
chemrxiv.org
LAMMPS-ANI: Large Scale Molecular Dynamics Simulations with ANI Neural Network Potential
Machine Learning Interatomic Potentials (MLIPs), trained with Quantum Mechanics data, can model potential energy surfaces for molecular systems with very high accuracy and extreme speedups compared to...
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Frank Noe @franknoe.bsky.social · 05/01/2026
#MachineLearning researchers: Join us at @msftresearch.bsky.social #ArtificialIntelligence for Science to push the frontier of AI for molecular Biology or AI for Chemistry. Work with @marwinsegler.bsky.social or my team in Berlin, Cambridge or Amsterdam. apply.careers.microsoft.com/careers/job/...
apply.careers.microsoft.com
Senior Machine Learning Researcher - MSR AI for Science | Microsoft Careers
Invent novel deep learning techniques for models of (bio)molecular structure, dynamics, reactivity and function. Design, implement, and iterate on model architectures and training algorithms (e.g., di...
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Purushottam Dixit @pdixit.bsky.social · 06/01/2026
How do cells know which way to move in a chemical gradient? 🧭 New work by graduate student Andrew Goetz proposes that receptors can compute direction. This new mechanism for directional sensing was published in PNAS late last year: www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Free Energy Workshop 2025 @feworkshop.bsky.social · 05/01/2026
Exciting news! We have a new website: omsf.io/alchemistry Your one-stop shop for everything related to our conference community. 🎉 BTW, registration is now open, so head over to secure your spot! We'll be sharing updates and details about the event. Bookmark it as there's plenty more to come!
omsf.io
Alchemistry Workshop in Free Energy Methods for Drug Design - Alchemistry
Annual conference on Free Energy Methods in Drug Discovery
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