🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Great choice! Think 'brain rot' summed up 2024? Oxford agrees it was the word of the year apnews.com/article/oxford…

Improving AlphaFold 3 structural modeling by incorporating explicit crosslinks 1. AlphaFold 3x introduces a novel method for integrating crosslinking mass spectrometry (XL-MS) data into AlphaFold 3 by explicitly modeling crosslinks as covalently-bound ligands. This approach

Very interesting seminar presentation today at Mount Sinai Genetics by Ivet Bahar on combining protein structure and dynamics with machine learning to predict genetic variation effect and advance drug discovery Dr. Zeynep Hülya Gümüş 🕊️

Check out our new review on mitochondrial uncouplers in Biochemical Journal Portland Press

Misunderstanding on NIH funded research here. Grant proposals are reviewed by peers. Currently, only 10 out of every 100 proposals are funded, often after multiple resubmissions. Projects need to show strong progress to maintain funding. NIH funding has remained flat for decades.

Missing you my friend 🕊️

Statement of Association of American Universities, Association of Public & Land-grant Universities, and American Council on Education Regarding Their Legal Challenge to the Administration’s Cut to Life-saving NIH Research aau.edu/newsroom/press…

98% of NIH grants that should have gone out this month, didn't. Despite court orders 'unfreezing' the funds, they are frozen. Biomedical research will grind to a halt. Clinical trials will end. All for no reason: the total impact on the US budget is miniscule

Machine learning-based benchmarking of AI-powered docking for virtual screening Efficiently predicting how a small molecule will bind to a protein—a technique known as molecular docking—is critical for speeding up early stages of drug discovery. However, conventional

US science is under attack ‘Americans who value the spirit of discovery — and eagerly await new ways to confront disease, strengthen our economy and improve the quality of human life — need to issue a strong outcry.’ – Harold Varmus

Unsolicited advice to new PIs and my opinion only not fact: As a new Assistant Professor, you have a 1-1.5 year window where you can get an R01 without a corresponding author paper IF you have a high impact 1st author paper from your postdoc. After that, it seems no amount of

Safeguarding the future of biomedical science in the United States: Cell cell.com/cell/fulltext/…

mountsinai.org/about/newsroom… Icahn School of Medicine at Mount Sinai Mindich CHDI AI and Human Health at Mount Sinai Charles Bronfman Inst for Personalized Medicine HPI.MS Girish Nadkarni alex charney

𝐀𝐈 𝐢𝐧 𝐁𝐢𝐨𝐭𝐞𝐜𝐡: Icahn School of Medicine at Mount Sinai has embraced AI as a drug discovery tool by launching this month its new AI Small Molecule Drug Discovery Center - Avner Schlessinger tells Ryan Flinn why. Full video: biotechtv.com/post/mount-sin…

Thank you for chatting with me, Ryan Flinn ! It was great to share our new Center’s vision with you and your listeners.

Maybe Google or Google DeepMind should fund CASP, given their ample resources and how much they've benefited from the efforts of John Moult, Krzysztof Fidelis, Andriy Kryshtafovych, Nick Grishin, and many others. science.org/content/articl…

Today, NIH announced a new policy to cap how much publishers can charge NIH-supported scientists to make their work publicly accessible. This reflects our broader effort to restore public trust in public health by creating an open, honest, and transparent research atmosphere.

Excited to see our new AI Small Molecule Drug Discovery Center Icahn School of Medicine at Mount Sinai featured in GEN! 🧬🧠 Read more: genengnews.com/topics/artific… Thank you Fay Lin, PhD and Genetic Engineering & Biotechnology News #AI #DrugDiscovery #Genetics

A postdoc position is open in my lab to develop AI/ML models for predicting functional effects of genetic variants and to lead large-scale PheWAS in major biobanks. Strong programming skills, a solid publication record, and a background in human genetics are required.