Boston-based AI Proteins is a biotech company on a mission to re-imagine protein therapeutics with a novel approach for designing entirely new proteins. Using AI-based design and a high-throughput drug discovery platform, AI Proteins creates de novo proteins optimized for specific therapeutic applications. The AI Proteins platform enables the development of inexpensive, durable, highly specific proteins that have the potential for oral delivery. Additionally, the AI Proteins platform can dramatically accelerate the development of lead therapeutic candidates ready for IND enabling studies.
External link for AI Proteins
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Boston, Massachusetts 02215, US
AI Proteins reposted this
Excited to share that a De novo designed miniprotein that myself, chris bahl, and Frank Teets created during my postdoc is now in humans! The miniprotein is a Nectin-4 binding radiopharmaceutical being developed by Aktis Oncology. The chemical/thermal stability, ability to be made by chemical synthesis, tissue penetration, and fast clearance make miniproteins a compelling modality for targeted radiotherapy. Hopefully many more miniprotein radiopharmaceuticals to come!
AI Proteins reposted this
Congratulations to The Nobel Prize in Chemistry, David Baker “for computational protein design” and Demis Hassabis and John M. Jumper “for protein structure prediction”! David Baker was postdoc advisor to chris bahl, President and CSO of AI Proteins, a Bayer Co.Lab Cambridge company! AI Proteins is on a mission to re-imagine protein therapeutics with a novel approach for designing entirely new proteins. It’s an absolute pleasure watching AI Proteins grow and we look forward to bringing their brilliant ideas to life! #BayerCoLab #chemistry #proteins #nobelprize
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize 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.” The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta
AI Proteins reposted this
so excited that our field of protein design has been awarded The Nobel Prize, and it's amazing to see my postdoc advisor David Baker receive this very well-deserved recognition!! and congrats to all of the brilliant and insightful researchers who made key contributions to these breakthroughs!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize 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.” The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta
AI Proteins reposted this
Delegate Audience Manager at Hanson Wade - 6th Targeted Radiopharmaceuticals Summit Europe, 9th CDD for Biologics Summit
📢 Calling all Biologist and Computational Scientists! Do you want to bridge the gap between your computational and wet lab teams? Then join us Boston to be part of the conversation and gain in tangible, depth industry insights to help you implement the latest machine learning, AI and data curation techniques to your drug development pipelines. 🔭 Key Talks: * Naresh Chennamsetty, Bristol Myers Squibb : Computational Tools to Asses Developability & Critical Quality Attributes of Biologics * James Bowman, AI Proteins : AI-Driven Design of Novel Mini Proteins & Multispecific Compounds for Oncology * Johannes Loeffler, Scripps Research : Exploring Computational Tools in Biologics Research - Current Implementation & Best Practices 💡Key Features: * 9+ hours of networking with leading biotech and pharma * Roundtable discussions * Poster session showcasing latest technologies and techniques With 19+ expert speakers on the agenda, this summit is a must-attend event! Don't want to miss out? Register now and save $850 before August 9th. View the full agenda https://lnkd.in/et4Yj8p8 For more information and to secure your pass connect with me or email hannah.martin@hansonwade.com
We are honored to be selected as a Falling Walls Foundation Venture winner! Our de novo designed #miniprotein therapeutics promise to be a game changer for patients, and this recognition is a testament to the hard work and dedication of our team. We can't wait to showcase our technology at the #FallingWalls #ScienceSummit24 in Berlin this November.
Where Science Meets Business: Discover the science start-ups that will pitch for the title Falling Walls Science Breakthrough of the Year 2024 at the #FallingWalls #ScienceSummit24! The top 25 science start-ups were selected out of 124 applications from 36 countries. These startups developed solutions in the spheres of Biotechnology, Energy & Cleantech, Food & Agriculture, MedTech, New Materials, Quantum Technologies, Mobility & Transportation. Cheers to the winners! 🏆 ActiTrexx GmbH 🏆 AI Proteins 🏆 ARQUE Systems GmbH 🏆 Bioeutectics 🏆 Cyclize 🏆 DeepEn 🏆 ecoLocked 🏆 ElectraLith 🏆 Exazyme 🏆 Gisens Biotech 🏆 Greenlyte Carbon Technologies 🏆 Level Nine 🏆 Linium Biochemicals 🏆 Nano24 🏆 Nanoflex Robotics 🏆 NOSI - Network for Olfactory System Intelligence 🏆 Origin by Ocean 🏆 PEARCODE 🏆 PRAMOMOLECULAR 🏆 Qkera 🏆 Reme-D.Inc 🏆 S.Lab 🏆 Sparxell 🏆 TAU Systems 🏆 xemX materials space exploration GmbH 🏆 Discover the Falling Walls Venture Winners: https://lnkd.in/eRCwWhmN Divided into three clusters (Sustainability, Engineering of the Future, and Health Solutions), the 25 Falling Walls Venture Winners will be invited to the #FallingWalls #ScienceSummit24 in Berlin, where they will pitch their work to a distinguished Jury and selected audience on 7 November.
AI Proteins reposted this
Special Dana-Farber Cancer Institute Targeted Protein Degradation Event Joins us in person or via zoom for an half-day of talks by Eric Fischer, Mikolaj Slabicki, Samantha Bevill, Pamela Ting, Liron Bar-Peled, and a panel featuring Samantha Nelson, Sheryl Gough, PhD and chris bahl. The panel will be followed by a reception, with a lot of time for networking! Event takes place on September 12th, 2024, from noon to 8PM EST at Linda K. Paresky Conference Center, Simmons University 300 Fenway Boston, MA 02115, and always over zoom for those of you who can't be with us in person. There is no fee to register thanks to the generous sponsorship from Amgen, Bruker, and Dana-Farber/Harvard Cancer Center. Thank you! FOR IN-PERSON EVENT REGISTER HERE: https://lnkd.in/evQPgHG6 FOR VIRTUAL EVENT REGISTER HERE: ttps://https://lnkd.in/eTbnhvh
AI Proteins reposted this
I'm extremely grateful to the stellar team of collaborators that made it a joy to work on this story: Mireia Solà Colom, Jelena Vucinic, Jared Adolf-Bryfogle, James Bowman, Sébastien Verel, Isabelle M., Thomas Schiex, and David Simoncini and I'm very proud to have this work published in The Protein Society's journal Protein Science https://lnkd.in/ehaSGZcz
Excited to share a new paper from the chris bahl lab! When at IPI, the group used AI to interrogate the functional sequence landscape of protein binding sites in silico to better understand COVID evolution & mitigation. Nice job, team! Wishing you well at AI Proteins ➡️
AI Proteins reposted this
AI Proteins Expands Leadership Team With New Head Of Corporate Strategy Learn more & get our take 👇 https://lnkd.in/gAhzD2Ki “Mike brings tremendous knowledge across the spectrum of biotech, and we are confident he will help us to fully unlock the power of our high-throughput miniprotein platform. He’s a perfect fit for our crew as we are making our innovative tech a reality and designing promising therapies to help patients.” — Dr. chris bahl, Founder, President, and Chief Scientific Officer at AI Proteins “Mike’s expertise will help us to further prioritize and determine the best path for moving these programs forward into development, and ultimately to the patients who need them.” — Noah Beerman, Chief Executive Officer at AI Proteins “I am honored to be joining the company as we continue on our mission to create groundbreaking new drugs, and I welcome the opportunity to help AI Proteins achieve its amazing potential.” — Michael D Krepps, Head of Corporate Strategy at AI Proteins #lifesciences #leadership #SoHCNews
we're thrilled to welcome Michael D Krepps to our leadership team at AI Proteins as Head of Corporate Strategy! https://lnkd.in/eK__ah_j
With #BIO2024 coming up next week, we're excited to share a brief update on what we've been working on at AI Proteins https://lnkd.in/gxgSByVc