BIOVIA’s Post

Nice mention of my #syntheticbiology piece :)

In 2023, #syntheticbiology had a significant impact on the #healthcare industry. Scientists utilized natural tools to engineer living organisms with new abilities, which transformed diagnostic and therapeutic approaches. #synbio accelerates drug discovery, reducing the time and cost associated with traditional methods. The field demonstrated its capabilities, from the success of CAR T-cell therapy against cancer to the engineering of #metabolic pathways for drug production. Artemisinin production in yeast cells demonstrates its potential to efficiently meet global demands. In the field of #diagnostics, synthetic biology has become a symbol of precision. Innovations such as paper-based #RNA sensors and CRISPR-Cas technology have enabled rapid and accurate disease detection. These advancements promise combinatorial sensing, allowing for real-time monitoring through patches or mobile devices. Although the tangible impacts are still unfolding, 2023 was a significant step towards a future in which synthetic biology reshapes our understanding of #biology, fuels #innovation, and addresses global challenges, even beyond healthcare.  Find out more in this Genetic Literacy Project article written by Kerry Taylor-Smith

🔬 Exploring the Fascinating World of Protein Modelling 🌟 Protein modelling is revolutionizing our understanding of biology and medicine. By predicting the 3D structures of proteins, we can unlock secrets of diseases, design new drugs, and advance personalized medicine. 💡 Why it matters: Disease Understanding: Accurate models help in understanding the mechanisms of diseases at a molecular level. Drug Design: Facilitates the design of new therapeutic drugs tailored to specific targets. Biotechnological Advances: Enhances the development of novel enzymes and industrial catalysts. In the dynamic field of bioinformatics, protein modelling stands out as a crucial tool for scientific discovery and innovation. 🌐🔬 #ProteinModelling #Bioinformatics #HealthcareInnovation #ScientificResearch #Biotechnology

Recent advances in generative biology for biotherapeutic discovery. https://lnkd.in/eEeepysD "Generative biology combines artificial intelligence (AI), advanced life sciences technologies, and automation to revolutionize the process of designing novel biomolecules with prescribed properties, giving drug discoverers the ability to escape the limitations of biology during the design of next-generation protein therapeutics. Significant hurdles remain, namely: (i) the inherently complex nature of drug discovery, (ii) the bewildering number of promising computational and experimental techniques that have emerged in the past several years, and (iii) the limited availability of relevant protein sequence-function data for drug-like molecules. There is a need to focus on computational methods that will be most practically effective for protein drug discovery and on building experimental platforms to generate the data most appropriate for these methods. Here, we discuss recent advances in computational and experimental life sciences that are most crucial for impacting the pace and success of protein drug discovery." Interesting new review by Marissa Mock, Christopher Langmead, Peter Grandsard, Suzanne Edavettal and Alan Russell on the use of generative models for the design therapeutic proteins.

🎯 How are new targets discovered? 🎯 In the intricate dance of biology, understanding how small molecules interact with proteins is paramount for both understanding cellular mechanisms and developing new therapies. Despite monumental progress in protein structure analysis, more than 80% of the human proteome remains elusive to small-molecule ligands. The power of chemoproteomics can be leveraged to bridge this gap.  On Drug Hunter you can learn how clinical candidates and drugs are discovered by leveraging a chemoproteomics platform. Check out our articles on a Nrf2 activator and a WRN helicase inhibitor to understand the concept and its application to modern drug discovery.  WRN: https://lnkd.in/gDznE9CD Nrf2/KEAP1: https://lnkd.in/gndU4Dsb I would also recommend to check out this recent Science paper: https://lnkd.in/gYZiGVXf By employing a robust library of 407 small-molecule fragments coupled with a photoactivatable cross-linker, their research has illuminated around 50,000 significant protein-ligand interactions across over 2,500 proteins—many of which were previously untargeted by existing ligands. Key highlights include the discovery of a novel E3 ligase binder and a blocker for the transmembrane transporter SLC29A1. Moreover, their sophisticated use of machine learning not only enhances the understanding of these interactions but also predicts potential fragment behaviors within biological systems. All data and tools from this extensive survey are now accessible through an interactive web application at https://lnkd.in/gAhFPYx8, offering a new resource for Drug Hunters to explore and expand upon these findings. This research not only paves the way for developing new tool compounds but also significantly expands our understanding of molecular interactions. Learn about chemoproteomics and many more inspiring tools for your research on Drug Hunter. DM me or get in touch with our team if you are curious to learn more:  https://lnkd.in/gjcJDvjr

The field of synthetic biology is getting more exciting as engineers, physicists, and molecular biologists are collaborating to revolutionize medicine! Scientists are developing programmable medicines and diagnostic tools that can sense and dynamically respond to information in our bodies. This means we could have flexible, specific, and predictable treatments, opening up a world of possibilities for precision medicine. With rapid advancements in DNA sequencing, synthesis, and gene-editing technologies, the potential of synthetic biology is limitless. Click to read more about the birth of new therapeutics, diagnostics, and technologies that will shape the future of healthcare and beyond! #SyntheticBiology #FutureOfMedicine #PrecisionMedicine

Bridging the gap between mechanistic causal models and large-scale molecular data is crucial long-term goal in computational biology, and absolutely necessary ingredient for data-driven drug discovery. In my view, realistic data generation leveraging our understanding of causal molecular mechanisms, is essential to move beyond the limitations of black-box approaches. Proud to be part of this journey with you, Gustavo Magaña, Laurence Calzone, Loïc Paulevé! Gustavo, special kudos to your persistence! Link to the paper : https://lnkd.in/eFqi3zpU and GitHub: https://lnkd.in/eqnrs2dm

Exciting discussions unfolded at the "Cell lines in the 21st century" Symposium at University of Lausanne - UNIL on January 11th, as #scientists delved into a crucial question: "Are you certain your #CellLine aligns with your research assumptions?" Shockingly, data estimate that up to 30% of cell lines suffer from misnaming, contamination, or even misrepresentation of the species under study.   Enter #Cellosaurus, a groundbreaking solution proposed during the event. Spearheaded by Prof. Amos Bairoch and colleagues at the SIB Swiss Institute of Bioinformatics, Cellosaurus aims to be a comprehensive encyclopedic database, a go-to dictionary for researchers. This initiative is pivotal, offering freely accessible, verified data on cell line origin, identity markers, warnings against potential mislabeling and suggestions how to properly name and represent cell lines in publications.   During the symposium, Prof. Florian Wurm, CSO of ExcellGene SA, shared four decades of expertise in CHO cells, shedding light on their intricate genetics and the pivotal role they play in global pharmaceutical manufacturing. #CHOcells contribute significantly, generating hundreds of metric tons of therapeutic proteins annually, driving an industry with yearly revenues exceeding a staggering $200 billion.   A symposium that tackled critical issues, paving the way for a transformative approach to cell line research. Let's revolutionize the future of scientific inquiry together! #CellLineDevelopment #ResearchRevolution #ScientificInnovation

I have resisted the AI bandwagon, holding out for tangible use cases beyond writing college term papers. We all see (and fear) the potential of creating the second "intelligent" entity on the earth. However, the release of AlphaFold 3 is a significant leap forward in protein science, with its enhanced capabilities to model a broader spectrum of biological structures. Understanding protein folding is pivotal in unlocking new avenues for drug discovery, disease understanding, and biotechnological innovation. #AlphaFold3 #ProteinScience #Biotechnology https://lnkd.in/gT-gmW6N https://lnkd.in/g9D7hyHX