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Today we’re previewing NeuralPLexer3 Beta: demonstrating unprecedented accuracy and speed in predicting protein-drug complexes, with instant and accurate structural insights across the full range of protein classes and drug molecules. Learn more:

57,456 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von Vladas Oleinikovas, PhD 🇪🇺
Vladas Oleinikovas, PhD 🇪🇺vor 1 Jahr

Impressive results on PoseBusters v2 dataset, what time cutoff did you use and are you planning to share the predicted structures for evaluation?

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Learn more about Boltz-2, the new open source AI model from MIT and Recursion capable of predicting protein binding affinity with unprecedented speed, scale and accuracy. ▪️ Boltz-2 is the first model to combine structure and binding affinity prediction, approaching the accuracy of physics-based free energy perturbation (FEP) calculations while being over 1,000 times faster and less computationally expensive. 💥 The model addresses a critical bottleneck in small molecule drug discovery. ▪️ A powerful tool built on novel machine learning: “By predicting both molecular structure and binding affinity simultaneously with unprecedented speed and scale, Boltz-2 gives R&D teams a powerful tool to triage more effectively and focus resources on the most promising compounds,” says Najat Khan, PhD, Chief R&D Officer and Chief Commercial Officer at Recursion. ▪️ The added power of open source: “Because Boltz-2 is open-source, including its training code, scientists can easily adapt it for specific types of molecules, making it even more powerful as a tool to accelerate discovery," says Regina Barzilay, PhD, MIT School of Engineering Distinguished Professor for AI and Health, AI faculty lead at MIT Jameel Clinic for AI & Health and MIT CSAIL principal investigator. 👉 Learn more, read the preprint, and access Boltz-2 here: 📅 Join us for live presentations, demos and discussions: 📎 MIT Presentation (Cambridge) – Monday, June 9. 📎 NVIDIA #GTC25 (Paris) – Wednesday, June 11. 📎 Molecular Machine Learning Conference - MoML (Montreal) – Tuesday, June 17.

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Protein is the foundation of building muscle, staying full, and hitting your health goals, but not all protein sources are created equal! 🤔 In this video, we showcase 9 foods that pack 30 grams of protein—from plant-based options to classic favorites:⁠ ⁠ 🍣 Solid White Tuna: At just 128 calories, it delivers 30g of protein, 0g carbs, and 0.9g fat—a low-calorie, high-protein MVP! ⁠ 🍤 Shrimp: A lean and virtually carb-free option with 127 calories, 30g of protein, 0g carbs, and 0.8g fat. ⁠ 🐔 Chicken Breast: The meal-prep classic provides 154 calories, 30g of protein, 0g carbs, and 3.8g fat. ⁠ 🥚 Large Eggs: A hearty and versatile option, packing 365 calories, 30g of protein, 5g carbs, and 25g fat. ⁠ 🍶 Greek Yogurt: Creamy and fat-free, with 158 calories, 30g of protein, 9.5g carbs, and 0g fat. ⁠ 🧀 Lactose-Free Cottage Cheese: A creamy choice with 220 calories, 30g of protein, 12.9g carbs, and 5.4g fat. ⁠ 🌱 Firm Tofu: A plant-based, nutrient-rich option with 269 calories, 30g of protein, 3.4g carbs, and 15g fat. ⁠ 🌾 Tempeh: Packed with fiber and protein, it has 272 calories, 30g of protein, 18.8g carbs, and 8.5g fat. ⁠ 🥫 Chickpeas: While carb-heavy, they’re oh-so-satisfying with 596 calories, 30g of protein, 96.6g carbs, and 10g fat.⁠ ⁠ Each food fits into different dietary goals and macro needs—so, which one surprises you the most? Let us know your favorite protein source below! 👇 ⁠

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