CBIRT, Centre of Bioinformatics Research & Tech’s Post

LLMs take on proteins! 🤖 #ProLLM, a new AI method developed by Rutgers University researchers, uses language models to predict connections beyond direct touch. Its Protein Chain of Thought (#ProCoT) approach models indirect connections. This innovative approach could revolutionize our understanding of biology and lead to medical breakthroughs. 🚀 Quick Read: https://lnkd.in/gCHa2z8S #bioinformatics #proteomics #ppi #llms #ai #sciencenews #biotechnology

The AI landscape is ever-evolving and so are the challenges. I am excited and honoured to be speaking at the Form Bio panel on Sep 05 and I hope to see many of you there. Let's learn and grow together! #biopharma #ai #datascience #ElevateBio

Meet AlphaFold 3, the AI marvel transforming biomolecular science. It maps every atom, refining chaos into clarity through a diffusion network which is like those used in AI image generation models. Earlier models relied on establishing spatial relationships between amino acids in a protein sequence to predict its 3D structure. This breakthrough tool will accelerate the path to new medical discoveries. #AlphaFold3 #AIMarvel #BiomolecularScience #DiffusionNetwork #AIInnovation #BennettUniversity

𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗕𝗶𝗼𝗹𝗼𝗴𝘆 & 𝗔𝗜 𝗶𝗻 𝗗𝗿𝘂𝗴 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗶𝗻 𝟮𝟬𝟮𝟰 AI is enabling major advancements in synthetic biology through improved predictive capabilities, generative models, and automation. 𝘈𝘐-𝘗𝘰𝘸𝘦𝘳𝘦𝘥 𝘚𝘺𝘯𝘵𝘩𝘦𝘵𝘪𝘤 𝘉𝘪𝘰𝘭𝘰𝘨𝘺 - AI is being used to accelerate the design-build-test-learn cycle in synthetic biology, enabling more efficient engineering of biological systems. - Generative AI models trained on biological data can create novel DNA sequences, protein structures, and other biological designs. - AI is improving workflows in areas like enzyme engineering, cell modeling, and bioreactor optimization. 𝘌𝘹𝘱𝘢𝘯𝘥𝘪𝘯𝘨 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 - Synthetic biology is being applied beyond just pharmaceuticals, with growing use in agriculture, materials, energy, and more. - Emerging areas include gene and cell therapies, alternative proteins, synthetic vaccines, biocomputing, and microbiome engineering. Overall, the convergence of synthetic biology and AI is a rapidly evolving and highly promising area with transformative potential across many industries and domains. More info: https://lnkd.in/eQA7FixP ==*== Enjoyed this post? Connect and stay up-to-date on the latest advances in the world of AI 👇 ➡️Like ➡️Share ➡️Comment Subscribe to our newsletter: https://lnkd.in/eXM5dv3F #ai #artificialintelligence #AIinSyntheticBiology #AITrends

ELRIG's Drug Discovery 2023 will be taking place at ACC Liverpool, UK from 18-19 October 2023, focusing on the importance of a diverse life science ecosystem. In this Drug Discovery World article connecting with companies planning on attending the meeting, our Investment Director, Michael Salako PhD MBA, commented on which new areas are gaining traction in the life science sector: "While AI and machine learning are now hot topics, many in the sector have been using these technologies for years: from identifying cells of interest from a mixture, such as those that are dead, to natural language processing, which in its infancy was used mainly to trawl through the copious amounts of literature out there to identify correlations. With transformer and large language models (LLMs), AI is assisting bioinformaticians, as well as bench-based researchers. For example, to identify protein structures and even binding pockets from sequence data and modelling potential hits in silico. The use of these tools is increasing efficiency and the likelihood of success." Read the full article here: https://rb.gy/8a2p2 #DrugDiscovery #AI #LLM #LifeSciences

Epoch 9: Roche Goes Digital: A Day in the Life of the Future 👉 AI investment trends: chemistry > biology? 👉 Which pharma are serious about AI? 👉 Roche deep dive on AI use cases https://lnkd.in/dTU6bjtf

Google DeepMind and Isomorphic Labs have just introduced AlphaFold 3, an AI model that can predict the structure of proteins, DNA, and other molecules with great accuracy. Here's what you need to know: => 50% improvement in predicting drug-like interactions compared to traditional methods => Can handle 'all of life's molecules' and model complex interactions, a significant upgrade from AlphaFold 2 which focused on protein structures => Available for free non-commercial use through the new AlphaFold Server, empowering scientists to generate predictions and accelerate research => Isomorphic Labs is already using AlphaFold 3 with pharmaceutical partners to design new drugs, paving the way for breakthroughs in drug discovery The impact of AlphaFold 3 will be huge, building on the remarkable achievements of its predecessors. By democratizing access to this powerful tool, we can expect a surge in innovation and progress in the biological sciences. ____________________________ Liked this post? Want to see more? 🔔 Ring it on my Profile ⭐ Connect with Danish Ali Gohar 😍 Follow #DanishAliGohar ____________________________ #AlphaFold3 #AI #DrugDiscovery #BiologicalSciences #Innovation #Breakthroughs #Science #Technology

Any #bioinformaticians in my direct network with #metabolomics expertise? If so I have an interesting (paid) piece of work I could use your help with. UGenome AI