I'm a research programmer and computational biologist/biophycisist working into understading complex biological phenomena. My tweet, my own opinion. #NTDs
Depois de quase 4 longos anos, que estive, me recuperando, vendo todos os meus amigos, continuarem com seus objetivos, agora tenho que recuperar esse tempo. Se você me acompanhar ate final legal, e se não, obrigado pela sua companhia deses dois anos. 🤓
New collaborative preprint, Helfrich Monte Carlo Flexible Fitting: physics-based, data-driven cell-scale simulations. By Valentin J. Maurer @jankosinski@MSiggel
https://t.co/utDAV7prdT
Pre-announcement: MARTINI tutorial workshop, August 11-15th 2025 in Groningen, The Netherlands !!
Learn basic and advanced Martini from the cocktail masters themselves. Registration will open soon.
From docking to dynamics, deep learning is reinventing molecular modeling.
Found this friendly review that maps how DL augments virtual screening, force fields, and trajectory analysis—turning simulations into adaptive workflows.
Lab-in-the-loop is going mainstream.
In a new Science study, cryo–electron tomography captures the in-cell architecture of the mitochondrial respiratory chain, illuminating how the coordinated action of molecular machines drives life’s fundamental energy conversion.
Learn more: https://t.co/vnMxmxJ4lB
Quick tip for busy people: you can improve the aesthetic of your proteins using the following commands in #ChimeraX. You can also add some shadows using the visual effects available in PowerPoint <protein emoji>
ps. before the render, remove the struts using the visual display
NaturAr: A Collaborative, Open-Source Database of Natural Products from Argentinian Biodiversity for Drug Discovery and Bioprospecting #DrugDiscovery
https://t.co/HWKlJfXxdW
@Martin_Lave#JCIM Vol65 Issue4 #ChemicalInformation
Simulating full quantum mechanical ground- and excited state surfaces with deep quantum Monte Carlo by Zeno Schätzle, Bernat Szabo and Alice Cuzzocrea.
https://t.co/UEy1q3LmLC
🧵⬇️
Hamiltonian Monte Carlo (HMC) frames sampling from a probability distribution as simulating the dynamics of a physical system.
Samples are expressed as particles whose trajectories are updated following Hamilton's equations based on the structure of the target distribution.
MartiniGlass: a Tool for Enabling Visualization of Coarse-Grained Martini Topologies | Journal of Chemical Information and Modeling https://t.co/W36prwWpag
Out just now at @NatureComms: using cryo-EM and cryo-electron tomography, we provide evidence that structurally heterogeneous ribosomes can cooperate in protein synthesis in bacterial cells:
https://t.co/Gg2qBHbL7W
ChimeraX AlphaFold prediction is working again. It was broken the past couple days because Google Colab updated the Python library numpy from version 1 to 2. Thanks to ColabFold developer Milot Mirdita for making Colabfold work with numpy 2.
Discovery of Novel DDR1 Inhibitors through a Hybrid Virtual Screening Pipeline, Biological Evaluation and Molecular Dynamics Simulations #machinelearning#compchem https://t.co/cI9vIf0kIa
Bittersweet to announce YC's final work in our lab. We are so proud of everything she's accomplished (incl. this beautiful study showing how the TAM complex facilitates lipid flow between the bacterial inner & outer membranes). We can't wait to see what you do next, Dr. Lin 🤩
🚨 Don’t miss this opportunity!
• Present your research with a poster: Apply here https://t.co/H1FE2nVSg7
• Connect with the @BiophysicalSoc network
More details below!👇
Come celebrate #BiophysicsWeek@BiophysicalSoc with us! Join us for virtual networking at March 28, 3pm ET and connect with fellow Ibero/Latin American biophysicists and expand your network! Register now through the QR code or here: https://t.co/kGjUXqAkQ3
For all the CGenFF fans out there, we've undertaken a significant expansion of the training set and extended the coverage to 4-membered rings.
https://t.co/tXObZflqpw