@SchlessingerLab

Computational biologist. Professor. Co-Director of Disease Mechanisms and Therapeutics Training Area @IcahnMountSinai. Opinions are mine. #DrugDesign #AI

New York, NY
Joined September 2017
Scientists at Mount Sinai have uncovered the first high-resolution structure of NBCn2, a brain protein linked to epilepsy, autism spectrum disorder, and other neurological conditions, and developed the first compounds capable of inhibiting its activity. Published in @NatureComms, the study used cryo-electron microscopy to capture the first highly detailed structural images of NBCn2, revealing how it transports sodium and carbonate ions that help regulate cellular acidity and control brain cell activity. The researchers also found that the way NBCn2 binds these ions differs from related proteins, suggesting that even closely related transporters may operate in distinct ways. The findings could help researchers better study disorders involving excessive neuronal activity and provide a new framework for understanding how altered brain signaling contributes to disease — potentially advancing future therapeutic research. Learn more about the research: mshs.co/4pRRvYy @MSHSNeurology @SinaiBrain @SinaiGenetics @SchlessingerLab #Neuroscience #Research #BrainResearch #Epilepsy
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Avner Schlessinger retweeted
Researchers @WackerLab, et al. have uncovered first hi-res structure of NBCn2, a brain protein linked to #Epilepsy, #AutismSpectrumDisorder & other neurological conditions, & developed first compounds capable of inhibiting its activity. PRESS RELEASE 👉 mountsinai.org/about/newsroo…
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AI accurately captured a known kinase conformation, but missed the cryptic pocket observed experimentally. We also found that subtle chemical changes can shift molecules between distinct binding modes, highlighting the need to combine computation and experiments in drug discovery
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Great The Scientist piece: two harmful mutations can restore protein function—challenging how we view genetic risk. I share my take on the structural logic behind this and relevance to drug discovery. My perspective the-scientist.com/two-harmfu… Original study pnas.org/doi/10.1073/pnas.25…
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Avner Schlessinger retweeted
V2P (variant-to-phenotype) is live: nature.com/articles/s41467-0… To our knowledge, first genomewide SNVs+indels (coding+noncoding incl. intergenic) model jointly predicting pathogenicity + disease domain (23 HPO groups; e.g. cardiac/immune/metabolic). @david_stientist @SchlessingerLab
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Amazing collaboration. So glad to see it published!
V2P (variant-to-phenotype) is live: nature.com/articles/s41467-0… To our knowledge, first genomewide SNVs+indels (coding+noncoding incl. intergenic) model jointly predicting pathogenicity + disease domain (23 HPO groups; e.g. cardiac/immune/metabolic). @david_stientist @SchlessingerLab
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Do you know what a PhD in Biomedical Sciences or Neuroscience can do for your career? Join us tomorrow from 4-5pm ET for a special information session featuring alumni from the Graduate School of Biomedical Sciences: mshs.co/4eWFLxw
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Avner Schlessinger retweeted
Our latest work: As it turns out different positive allosteric modulators bind to different sites at the mu opioid receptor. Find out more in our @biorxivpreprint. biorxiv.org/content/10.1101/…
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Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. Despite AI’s use at each step, the billion-dollar question is whether it can bring a larger number of novel drugs to market. cen.acs.org/physical-chemist…
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Interesting read: Structural insights into brain thyroid hormone transport via MCT8 and OATP1C1: Cell cell.com/cell/fulltext/S0092…
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Avner Schlessinger retweeted
Official announcement: this September 1, the Osman laboratory will be opening its doors in the biological sciences department at SUNY, Albany! Anyone interested in joining the lab, please contact me. [email protected] Lab website coming soon! @ualbany
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Avner Schlessinger retweeted
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.
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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. Read more ➡️ bit.ly/4nCdIbl
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