Tetraspanin CD9 protein: comparison of crystallographic structures, BioEmu samples and molecular dynamics (MD). Credit: Science (2025). DOI: 10.1126/science.adv9817
A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that emulates the equilibrium behavior of proteins with unprecedented speed and accuracy.
As the biological function of proteins depends on dynamical changes in their structure, the ability to predict these structural changes quickly and accurately opens the door to more rational design decisions in drug discovery, helping to reduce the failure rate of drugs in clinical trials.
BioEmu can generate thousands of statistically independent protein structures per hour on a single graphics processing unit (GPU). “This reduces the cost and the time required to analyze functional structure changes in proteins,” says Professor Frank Noé, who led the project.
BioEmu integrates over 200 milliseconds of molecular dynamics simulations with experimental data to predict structural ensembles and thermodynamic properties with near-experimental accuracy.
The system captures complex biological phenomena such as the formation of hidden binding pockets, domain motions, and local unfolding—all critical to understanding protein function and drug design. BioEmu also predicts protein stability changes with an accuracy that can compete with laboratory experiments.
“Thereby, BioEmu provides a scalable method to model protein function at the genomic scale,” adds Professor Cecilia Clementi.
The BioEmu code and model are freely available under the permissive MIT license. Alongside the publication, Microsoft Research has also released the molecular dynamics simulation dataset that was generated to train BioEmu. This dataset—comprising over 100 milliseconds of simulations across thousands of protein systems—represents the largest sequence-diverse protein simulation set publicly available to date.
While the research was conducted entirely at Microsoft, Freie Universität Berlin is proud to acknowledge the contributions of affiliated researchers.
The research was led by Frank Noé, Partner Research Manager at Microsoft Research AI for Science in Berlin, who also holds an honorary professorship at Freie Universität Berlin.
Cecilia Clementi, Einstein Professor for Theoretical and Computation Biophysics at Freie Universität Berlin, made key contributions to the work as a visiting researcher at Microsoft Research.
More information:
Sarah Lewis et al, Scalable emulation of protein equilibrium ensembles with generative deep learning, Science (2025). DOI: 10.1126/science.adv9817
Citation:
New AI tool models protein dynamics, aiding drug discovery and protein research (2025, July 11)
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RENO, Nev., Sept. 02, 2025 (GLOBE NEWSWIRE) — GreetEat Corporation (OTC: GEAT), a forward-thinking technology company dedicated to building next-generation platforms, today announced the official re-launch of its subsidiary Wall Street Stats (WallStreetStats.io) applications on both iOS and Android. The updated apps deliver a powerful suite of new tools designed to empower investors with deeper insights, smarter analytics, and a cutting-edge user experience.
The new release introduces an upgraded platform driven by artificial intelligence and machine learning, providing users with:
Detailed Quotes & Company Profiles – Comprehensive financial data with intuitive visualization.
Summarized Market Intelligence – AI-powered data aggregation and automated summarization for faster decision-making.
Sentiment Analysis via Reddit & Social Platforms – Machine learning models that detect, classify, and quantify investor sentiment in real time.
Trending Stocks, Top Gainers, Top Losers, and Most Active Lists – AI-curated market movers updated dynamically throughout the day.
Smart Watchlists – Personalized watchlists enhanced by predictive analytics and recommendation algorithms.
AI-Driven Market Predictions – Leveraging natural language processing (NLP), deep learning, and behavioral pattern recognition to uncover emerging investment opportunities.
“Wall Street Stats was designed to go beyond traditional financial data and offer an AI-first experience that empowers both retail and professional investors,” said Victor Sima, CTO of GreetEat Corporation. “With this re-launch, we’ve combined the best of real-time market intelligence with machine learning powered insights that make data more actionable, intuitive, and predictive. This is just the beginning of our vision to democratize Wall Street – level analytics for everyone.”
The platform’s enhanced features are aimed at giving investors a competitive edge by uncovering hidden patterns, predicting momentum, and providing smarter investment signals. With natural language processing, predictive modeling, and real-time data analytics, Wall Street Stats represents a new era in financial technology innovation.
About GreetEat Corporation GreetEat Corporation (OTC: GEAT) is a technology-driven platform designed to bring people together through virtual dining. Whether for business meetings, celebrations, or personal connections, GreetEat blends video conferencing with meal delivery to create meaningful, shared experiences anywhere in the world. In addition to GreetEat.com, the company also owns WallStreetStats.io, a cutting-edge fintech app that leverages AI and machine learning to analyze social sentiment, market trends, and trading signals in real time, available on both Android and iOS stores.
Forward-Looking Statements: This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on current expectations, estimates, and projections about the company’s business and industry, management’s beliefs, and certain assumptions made by the management. Such statements involve risks and uncertainties that could cause actual results to differ materially from those in the forward-looking statements. The company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.
New grant money from Natural Sciences and Engineering Research Council of Canada (NSERC) will help Algoma University researchers continue their work in artificial intelligence, renewable energy, and sustainable farming and biotechnology.
The Sault Ste. Marie university announced Aug. 28 it will receive $541,000 over five years toward three projects at the school.
Dr. Ping Luo is developing artificial intelligence (AI) tools to detect cancer earlier and more accurately, paving the way for faster diagnoses and more personalized care.
Dr. Syed Muhammad Danish is designing smarter, greener infrastructure for electric vehicles and renewable energy systems, while embedding sustainable practices into generative AI to support Canada’s net-zero goals.
Dr. Isabel Molina, a Tier II Canada Research Chair, is investigating how plants naturally produce protective compounds, with the potential to transform sustainable farming and biotechnology.
“From cancer research to clean energy and sustainable agriculture, world-class innovation is thriving right here in Northern Ontario,” Brett Goodwin, Algoma’s interim vice-president of academic and research, said in a news release.
“Our faculty are leading research in computer science, life sciences, and environmental innovation to tackle urgent global challenges, while creating exceptional learning opportunities for our students, including students in our recently launched graduate programs in biology and computer science.”
FLORENCE, Italy, Sept. 2, 2025/PRNewswire/ — Medical Horizons S.r.l., (medicalhorizons.it) a leading distributor of Artificial Intelligence (AI) solutions for healthcare, today announced an exclusive distribution agreement with Bowhead Health Inc.(bowheadhealth.com), a Canadian innovator in secure health data management and AI-powered clinical trial matching.
Under this agreement, Medical Horizons becomes the exclusive partner for Bowhead Health in Italy, Turkey, and Cyprus, expanding access to advanced technologies that improve clinical trial recruitment, optimize research workflows, and strengthen hospital and research institute capabilities across the region.
Addressing Healthcare’s Urgent Needs Healthcare systems worldwide face growing challenges from workforce shortages and rising clinical demands. Artificial intelligence is increasingly recognized as a critical tool to help address these pressures, enabling hospitals and researchers to deliver faster, more personalized care.
“Manual clinical trial matching is slow, burdensome, and often misses the genomic details that matter most,” said Francisco Diaz-Mitoma, CEO of Bowhead Health Inc. “Our platform allows hospitals to scan global and local trial databases instantly, helping them connect patients with the right therapies far more efficiently.”
Bowhead’s AI-driven technology reduces time spent on manual searches, simplifies workflows, and provides confidence for both researchers and patients, accelerating progress toward personalized medicine.
A Strategic Expansion for Medical Horizons For Medical Horizons, the partnership marks a continuation of its mission to bring best-in-class AI technologies to European healthcare providers.
“This collaboration represents a decisive step in our strategy to deliver practical, high-impact AI solutions,” said Guido Osti, CEO of Medical Horizons. “Bowhead Health has developed a unique platform that combines secure health data management, artificial intelligence, and clinical research. We are proud to guide their expansion in Italy, Turkey, and Cyprus.”
Bowhead Health Inc. Based in Ottawa, Canada, Bowhead Health has developed a secure digital ecosystem that integrates:
An AI-powered trial matching engine for personalized patient recruitment.
A de-identified health data platform compliant with GDPR, HIPAA, and global security standards.
Collaborative digital flows connecting patients, hospitals, researchers, and pharmaceutical companies.
Bowhead Health is currently validating its technology with leading hospitals in Canada, Europe, India, and the United States, with strong early results.
