I have two open postdoctoral researcher positions in my group. Looking for applicants with interest and expertise in computational structural biology and research software development. For details check https://t.co/3jTGI7ZeWh
Congratulations to David Baker of @UW, @demishassabis and John Jumper of @GoogleDeepMind for winning the 2024 Nobel Prize in Chemistry. Fantastic to see that the power of computation in Chemistry is being broadly recognized.
A lot of work a lot of discussions, but my contribution to the fantastic work of CRCI2NA teammates is now submitted. Preprint here: https://t.co/U4sXHjO4cK (and this is my 7th submitted paper of the year yihaa).
How can we efficiently learn ML potentials for atomistic systems with few and expensive reference data? Here we explored a transfer learning approach via a combination of pre-trained graph neural networks & kernel ridge regression
https://t.co/Y0hfLZMsUQ
#NeurIPS2023#ML4science
If you are interested in #covalentinhibitors targeting lysine, check: Covalent and noncovalent strategies for targeting Lys102 in HIV-1 reve... https://t.co/98RYIZWOaO
I am hiring a senior and a principal computational chemist 🧑🔬🧑💻at CelerisTx based in London or Graz, Austria. Please reach out if you want to hear more about the roles.
https://t.co/G6xSi8a2mi
[re-opening] Fully funded PhD position in Inverse Molecular Design with Generative Models -- be part of a largescale collaboration between experimental and computational groups across Sweden https://t.co/W8qxur0DUc
"Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning"
Introduces Distributional Graphormer, which uses diffusion to predict the equilibrium distribution of dynamic proteins
https://t.co/MEz0Ux43hq
#newscience alert! Developing drugs for viruses that mutate quickly is a huge challenge, but Dr. Ali has identified new #HIV inhibitors that are effective in highly-mutated viruses and are even more effective than some drugs currently in #clinicaltrials 👀 https://t.co/3U1eqZEgca
Want to perform virtual screens of libraries containing billions of compounds? We have developed an approach that combines molecular docking and machine learning to screen vast chemical space. Preprint: https://t.co/ZQOtPkUId6
Workflow will be made publicly available on GitHub.
‼️#job alert: We have open #postdoc and #PhD student positions for the project👉Theory and #Algorithms for Structure Determination from Ultrafast Single Molecule #XFEL Diffraction and Fluctuation Correlation X-Ray Scattering Experiments
@mpi_nat🔗https://t.co/X2KjxXym1H Pls RT