How crop science innovation is transforming agriculture

➤ AI Latest News: AI predicts protein structures! 🔬🧬 Scientists Use AI to Predict Protein Structure and Function Scientists at Brookhaven National Laboratory just developed ESMBind, an AI workflow that predicts 3D protein structures and their binding to nutrient metals like zinc and iron. This breakthrough shows four cysteine residues directly involved in zinc interaction, opening new possibilities for bioengineering. For builders and operators: This AI-driven protein prediction could revolutionize sustainable agriculture by enabling biofuel crops to grow on nutrient-poor soils, reducing competition with food crops and making marginal lands productive. Risk to watch: While promising, AI predictions in complex biological environments require extensive experimental validation to ensure accuracy before real-world deployment. What other agricultural challenges could AI-powered protein engineering solve? Share your thoughts below! 👇 #AI #Bioinformatics #Sustainability 🔗 Source: https://lnkd.in/e6VawUtv

🎉 Happy Friday! Today’s focus is on technology and biotechnology 🤖🧪: from artificial intelligence to big data, to digital solutions applied in clinical trials. The digital transformation is already here 🌍. 💬 Which technology do you think will have the greatest impact on medical research? 👉 Technology is the tool through which science writes new possibilities. Best regards from the BeEasy Consulting team 🌐✨ 📌 Title: Struvite’s Potential in Soilless Crop Systems 🔗 More details: https://lnkd.in/ejn5hxyH

🧪 Stopping Hop Latent Viroid (HLVd) at the source. Every strain in our care undergoes in-house virus testing with TUMI Genomics TUMIGlow™ technology. Why? Because HLVd is one of the most destructive pathogens facing cultivators today—causing stunted growth, reduced yields, and loss of valuable genetics. By integrating TUMIGlow assays directly into our lab workflows, we: ✔️ Detect HLVd early before it spreads through a facility ✔️ Safeguard valuable genetics stored in our tissue culture bank ✔️ Protect growers from setbacks by delivering clean, reliable plant material Clean starts are everything in cultivation. That’s why Endless Biotech invests in the highest level of pathogen prevention—so our partners never have to second guess the health of their genetics. 🔬 Science + precision = endless possibilities.

🤖📚 Creating self-developing AI could give our generation the final key to defeating aging. It is customary to distinguish three stages of artificial intelligence development. The first is narrow artificial intelligence designed to perform specific tasks. This stage in the development of AI has already been reached. In medicine, the PathAI system uses machine learning to analyze tissue samples and helps doctors make more accurate diagnoses. PathAI automatically detects abnormalities in tissue sections, which greatly facilitates the detection of tumors and the diagnosis of cancer. In agriculture, artificial intelligence is demonstrating outstanding results, and the soil and plant monitoring project from the Institute of Agroecology at Aarhus University is a vivid example of this. As part of the AI4SoilHealth project, the system combines data collected from sensors and satellites to create predictive soil maps. These maps allow farmers to understand exactly what the soil is like, as well as its fertilizer and moisture needs. This approach is already increasing yields and reducing fertilizer costs. The AlphaFold system has revolutionized biology, opening the way to the precise modeling of proteins, a task that had remained unsolved for decades. Demis Hassabis and John Jumper were awarded the Nobel Prize in Chemistry in 2024 for its development. Hassabis also outlined an ambitious goal in an interview with The Times: to create a cure for all diseases.

🚀 𝗔𝗜 𝗶𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘀𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗯𝗶𝗼𝗹𝗼𝗴𝘆 🚀 The convergence of 𝘀𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗯𝗶𝗼𝗹𝗼𝗴𝘆 and 𝗮𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 is reshaping the way we design, build, and industrialise biology. Where synthetic biology provides the blueprint for engineering life, AI offers the computational power to predict, optimise, and accelerate outcomes that would otherwise take years of trial-and-error in the lab. In particular, 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 are becoming invaluable for protein and strain engineering, drug discovery, and the design of biochemical pathways. By simulating molecular interactions and metabolic networks, AI allows us to explore design spaces that are far too vast for traditional methods which ultimately lowers costs, reduces timelines, and increases the success rate of biotech innovations. This is the vision of 𝗦𝘆𝗻𝘁𝗵𝗲𝘅𝗼, founded by Dr. DuToit Schabort - an AI Engineer, Bioinformatician, and Computational Biologist with a Ph.D. in Biochemistry and extensive experience across pharma, diagnostics, and agricultural biotech. With expertise spanning next-generation sequencing, systems biology, and industrial biotechnology, Du Toit is driving Synthexo’s mission to build powerful digital models of proteins, pathways, and eventually whole cells. 💡 Learn more at: https://lnkd.in/dyjGdt_G #AI #SyntheticBiology #Biotechnology #Innovation

What if microbes in a bioreactor lived by one rule: make the target product or perish? In long fermentation runs, microbes often go rogue. High producers burn out, freeloaders take over, and yields collapse. You end up with biomass, not product. Ultimately, microbes prioritise survival over our production plans. It’s evolution working against engineering, one of the biggest challenges in industrial biotech. Spun out of the DTU - Technical University of Denmark, Enduro Genetics thinks it has a solution. Their ‘synthetic addiction’ approach links microbial survival directly to productivity. If a cell stops producing the target molecule, it perishes. In Issue #115 of Better Bioeconomy, I look into how Enduro’s platform works, potential challenges, and what the tech could mean for biomanufacturing. TL;DR: How “addicted” microbes could transform biomanufacturing: 📈 Longer runs, more output: Reactors stay productive up to 5× longer, compounding yield and reducing downtime. 💰 Economics tilt in your favour: Every cell pulls its weight, Enduro reports >30% higher titers, lowering COGS. 🏭 Predictable scale-up: Genetic stability narrows the lab-to-plant gap, reducing costly batch failures. 🦠 Tougher hosts, cheaper feeds: Enables wild strains and low-cost substrates (waste gases, residues) to stay on task. ♻️ Less waste, smaller footprint: More product per input means lower resource use and carbon impact. 🕹 Built-in process control: Cells act as live sensors, helping operators keep runs in the “green zone.” Read full article: https://lnkd.in/gfqPemzd Christian Munch, Peter Rugbjerg Disclaimer: I have no affiliation with Enduro. I'm just a fan of their tech. Thoughts are my own.

🧬 “ZEST aims to enhance the productivity, resource efficiency, and scalability of fungal fermentation systems,” explains Anne Christine S. Hastrup, Director at the Teknologisk Institut. Coordinated from Denmark and backed by the EU, ZEST is a fungi fermentation project combining AI, biotechnology, and green extraction methods to create scalable, sustainable alternative protein solutions. By leveraging fungi’s natural ability to upcycle agricultural residues, ZEST supports a truly circular bioeconomy. Add to that an open-access database and machine learning tools for optimizing fungi-feedstock combinations, and the project becomes a valuable R&D resource across food, pet food, and even cosmetics. 📰 Read more in Protein Production Technology International: https://hubs.ly/Q03HhHxt0 Is this the model for how innovation and infrastructure should work together in alt proteins? Let us know your thoughts! 👇 #AltProtein #FungalFermentation #Bioeconomy #FoodTech #Mycoprotein #CircularEconomy #FutureOfFood

Technology & chemistry keep moving so should we! 🚀 Travel used to take weeks or months. Now, a plane takes hours. Talking to someone across the world? Just a video call away. The same goes for organic chemistry the kind that makes medicines, pesticides, and materials. 🧪 Before, making one medicine meant many steps, harsh chemicals, and lots of waste. Today, chemists make it faster, cheaper, safer, and greener. Examples: ✅ Build complex medicines in fewer steps (C–H bond activation) ✅ Use light instead of dangerous chemicals (Photoredox catalysis) ✅ Make pesticides & materials with less waste (Flow chemistry) Coolest part: Skeletal editing – “molecular surgery.” Instead of building a molecule from scratch, chemists can add, remove, or swap a single atom in one step! Recent study: • Prof. Mark D. Levin (Univ. Chicago) replaced carbon with nitrogen in pyridine rings, making drug-like molecules faster & greener. 📖 Read here :https://lnkd.in/gyHK4GCF Other leaders in skeletal editing: • Prof. Armido Studer – C–N → C–C swaps in pyridines (https://lnkd.in/g8N8Z6XS) • Prof. Richmond Sarpong – drug discovery (https://lnkd.in/gPUdRedY) • Prof. Ning Jiao – N → C swaps in heterocycles (https://lnkd.in/gZgAdp7U) • Prof. Wen-jie Xiao – pyrimidine → pyridine (https://lnkd.in/gQ7-hpxm) Takeaway: Just like tech changed travel & communication, skeletal editing is changing how we make molecules. Our generation can push science forward cleaner, smarter, better! #organicsyntheticchemist #organofluorinechemist

𝗧𝗵𝗲 𝗕𝗶𝗼𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗡𝗼𝗯𝗼𝗱𝘆 𝗦𝗲𝗲𝘀 𝗖𝗼𝗺𝗶𝗻𝗴 When people think of biotech, they picture medicines, vaccines, or GM crops. But the future of biotechnology is far bigger — and stranger — than most imagine. 𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗧𝗿𝗲𝗻𝗱𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗜𝗴𝗻𝗼𝗿𝗲: 1️⃣ Biocomputing – Using DNA as data storage (1 gram of DNA = ~215 petabytes of data!) 2️⃣ Lab-Grown Materials – From leather to spider silk, biotech is redesigning fashion & construction. 3️⃣ Synthetic Biology Startups – Engineering microbes to produce everything from perfumes to jet fuel. 4️⃣ Personalized Nutrition – Microbiome-based diets tailored to your gut bacteria. 5️⃣ Climate-Smart Agriculture – Gene-edited crops designed to thrive under heat & drought stress. Careers in these spaces won’t just be about lab coats – they’ll require innovators who can merge biology with AI, data science, and entrepreneurship. 𝘐𝘮𝘢𝘨𝘪𝘯𝘦 𝘣𝘦𝘪𝘯𝘨 𝘱𝘢𝘳𝘵 𝘰𝘧 𝘢 𝘸𝘰𝘳𝘭𝘥 𝘸𝘩𝘦𝘳𝘦 𝘺𝘰𝘶𝘳 𝘣𝘪𝘰𝘭𝘰𝘨𝘺 𝘣𝘢𝘤𝘬𝘨𝘳𝘰𝘶𝘯𝘥 𝘩𝘦𝘭𝘱𝘴 𝘴𝘰𝘭𝘷𝘦 𝘤𝘭𝘪𝘮𝘢𝘵𝘦 𝘤𝘩𝘢𝘯𝘨𝘦, 𝘧𝘰𝘰𝘥 𝘴𝘤𝘢𝘳𝘤𝘪𝘵𝘺, 𝘰𝘳 𝘦𝘷𝘦𝘯 𝘤𝘳𝘦𝘢𝘵𝘦𝘴 𝘢 𝘣𝘪𝘭𝘭𝘪𝘰𝘯-𝘥𝘰𝘭𝘭𝘢𝘳 𝘴𝘵𝘢𝘳𝘵𝘶𝘱. Which of these future biotech fields excites you the most? Drop it in comments – your answer might inspire someone’s career path. #Biotechnology #SyntheticBiology #FutureOfWork #Bioinformatics #LifeSciences #DetoxBiology #Careers