Ekrem Yasar (@eygpcr) header
Ekrem Yasar (@eygpcr) profile picture

PhD #ComputationalBiophysics | Membrane Proteins Biotech | Structural Biology & AI/ML @nyuniversity @helsinkiuni @Akdenizun Prev.

Turkey
Joined July 2023
Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)Photo by Ekrem Yasar (@eygpcr)
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”
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🚀 Hybrid Training on Biomolecular Simulations! 📅April 9-10, 2025 | 📍 Online & Sabancı University 🔗Register by March 24: indico.truba.gov.tr/e/biomol… 💡HADDOCK, GROMACS, BioBB, PMX ⚡Limited hands-on spots! #ComputationalBiology #HPC #MolecularSimulations @BioExcelCoE
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A couple reflections on the quantum computing breakthrough we just announced... Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed. After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing. It powers Majorana 1, the first quantum processing unit built on a topological core. We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years. The qubits created with topoconductors are faster, more reliable, and smaller. They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor. Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not! Sometimes researchers have to work on things for decades to make progress possible. It takes patience and persistence to have big impact in the world. And I am glad we get the opportunity to do just that at Microsoft. This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe. It’s not about hyping tech; it’s about building technology that truly serves the world.
Readers added context they thought people might want to know
Microsoft's supporting paper, published in Nature, does not support the claim that they have created a topological qubit. nature.com/articles/s4158… Peer reviewers of the Nature paper expressed concern that the paper misleadingly implies that a topological qubit was demonstrated or otherwise achieved: static-content.springer.com/esm/art%3A10.1…
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Ekrem Yasar retweeted
Sonuncusu 2019’da gerçekleşen İstatistiksel Fizik Günleri (İFG), 27. IFG toplantısı ile geri dönüyor! 3-5 Temmuz 2025, Kadir Has Üniversitesi, Cibali Kampüsü, İstanbul. Ana konuşmacı: Nihat Berker Detaylar: ifg27.khas.edu.tr/ #IFG27 @khasedutr
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MIT's Machine Learning Courses: ❯ 6.036 - Machine Learning ❯ 6.S191 - Deep Learning ❯ 6.034 - Artificial Intelligence ❯ 18.06 - Linear Algebra ❯ 18.05 - Probability and Statistics ❯ 18.S096 - Matrix Calculus FREE course links inside:
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Ekrem Yasar retweeted
We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.
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Structure and function of a near fully-activated intermediate GPCR-Gαβγ complex | Nat Commun doi.org/10.1038/s41467-025-5…
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Season's greetings from RCSB PDB: rcsb.org/news/67478994f77ff2…
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Turkey’s first quantum computer, #QuanT developed through the collaboration of @aselsan and @tobbetum was introduced today at a special ceremony. #QuanT represents a significant milestone in the nation’s technological progress. Congratulations to everyone involved!
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As a committee member, I am pleased to announce the successful completion of the Biomolecular Modeling Workshop held in Antalya from November 13-17, 2024. We sincerely thank all participants and contributors for their support. #computationalbiophysics #biomolecularmodeling
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Ekrem Yasar retweeted
Hey #GPCR enthusiasts! Have you already checked out the preliminary program for the 1st virtual #GPCRforum conference? 🤩 Six #GPCR networks will present their exciting research! 🧪🔬💊🧫 Check out the programm & register now! 👉 gpcrforum.org/events/gpcrfor…
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BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
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Our Ambassador Program workshop on @BioExcelCoE software for intermediate and advanced users is open for registration 🗓️26-28 November 2024 📍Coimbra, Portugal and online More info➡️bit.ly/4dyJbVD @Eurocc_Portugal @EuroCC_France @EuroCC_SpainRES @EuroccIreland
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BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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🚀 Ready to launch your research to new heights? Introducing the "#AI / #MachineLearning in #spacebiology Biology Training" course—where data meets the final frontier! Pre-recorded lectures, hands-on Python notebooks, and quizzes. Enroll now: tinyurl.com/3ubn27a4. #STEM #OSDR
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Out now in @Nature, @MIPS_Australia and @MonashBDI have solved the structure of human cell regulator ‘LYCHOS’, opening up an exciting new drug target for cancer and neurological diseases 👏👇 monash.edu/news/articles/wor…
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