AI approach optimizes development of antibody drugs https://zurl.co/ETZ7 #ai #genai #aiforpharma
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๐ฅ๐ฒ๐๐ผ๐น๐๐๐ถ๐ผ๐ป๐ถ๐๐ฒ ๐๏ฟฝ๏ฟฝ๐๐ฅ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ถ๐๐ต ๐ฟ๐ฒ๐ฎ๐น-๐๐ถ๐บ๐ฒ, ๐น๐ฎ๐ฏ๐ฒ๐น-๐ณ๐ฟ๐ฒ๐ฒ ๐ถ๐บ๐ฝ๐ฒ๐ฑ๐ฎ๐ป๐ฐ๐ฒ ๐บ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด! ๐ฌ Are you ready to elevate your understanding of G-protein coupled receptors (GPCRs)? Join us for an engaging webinar where we delve into the innovative method of profiling GPCRs using non-invasive, real-time impedance monitoring. ๐ช๐ต๐ ๐๐ฃ๐๐ฅ๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ? GPCRs are among the most targeted receptors in drug development, constituting about 40% of all prescription drugs. Traditional screening methods are often invasive and limited to endpoint assays, which donโt capture the full dynamics of cellular responses. ๐ช๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ ๐ต๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐: ๐ Explore label-free impedance analysis: Learn how this technology allows continuous, real-time monitoring of cellular responses without the need for invasive procedures. ๐ Understand the technology: Understand the physical principles that make impedance monitoring a powerful tool in pharmacology. ๐ Applications in GPCR Pharmacology such as conducting agonist and antagonist assays, analyzing dose-response relationships, studying receptor desensitization, profiling signal transduction pathways. ๐ Date and Time: July 3rd, 2024; 4:00 PM - 5:00 PM CEST ๐ค Speaker: Prof. Joachim Wegener, Universitรคt Regensburg & Fraunhofer EMFT Don't miss this opportunity to learn about cutting-edge techniques that can significantly enhance your GPCR research. ๐ Secure your spot now! Register here: https://ow.ly/LZL650S1UoW #GPCR #Webinar #DrugDiscovery #Pharmacology #ImpedanceMonitoring #RealTimeData #NonInvasiveResearch #InnovativeTechniques
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๐๐ผ๐ถ๐ป ๐๐ ๐ฎ๐ ๐๐ต๐ฒ ๐๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ ๐๐ผ ๐๐ป๐น๐ผ๐ฐ๐ธ ๐๐ต๐ฒ ๐ณ๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ฃ๐๐ฅ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ถ๐๐ต ๐ป๐ผ๐ป-๐ถ๐ป๐๐ฎ๐๐ถ๐๐ฒ, ๐ฟ๐ฒ๐ฎ๐น-๐๐ถ๐บ๐ฒ ๐ถ๐บ๐ฝ๐ฒ๐ฑ๐ฎ๐ป๐ฐ๐ฒ ๐บ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด! ๐ G-protein coupled receptors (GPCRs) are pivotal in drug discovery, with around 40% of all prescription drugs targeting these critical receptors. Traditional screening methods often require invasive procedures and fail to capture the dynamic nature of cellular responses. Join us for an insightful webinar to explore a game-changing approach: profiling GPCRs using non-invasive, real-time impedance monitoring. ๐ Date and Time: July 3rd, 2024; 4:00 PM - 5:00 PM CEST ๐ค Speaker: Prof. Joachim Wegener, Universitรคt Regensburg & Fraunhofer EMFT ๐ช๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ ๐ต๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐: โช๏ธ Discover how label-free impedance measurements revolutionize GPCR pharmacology โช๏ธ Dive into the technology and physical principles behind impedance analysis โช๏ธ Learn about applications in: โช๏ธ Agonist and antagonist assays โช๏ธ Dose-response relationships โช๏ธ Receptor desensitization โช๏ธ Signal transduction profiling Say goodbye to invasive methods and endpoint assays. Embrace real-time, label-free monitoring to enhance your research precision and efficacy. ๐ Register now to secure your spot and transform your GPCR research! Register here: https://ow.ly/EmU250S1SCw #GPCR #AtlaZ #DrugDiscovery #Webinar #Pharmacology #ResearchInnovation #RealTimeMonitoring #ImpedanceAnalysis #LabelFree #CellAnalytics
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The therapeutic impact of monoclonal antibodies (mAbs) is evident in the thriving market, the global antibody market grew from $188.18 billion in 2022 to $209.98 billion in 2023. And it is expected to reach $330.35 billion by 2027. The pharmaceutical industry has responded with an increased focus on mAbs in the pipeline, leading to innovative approaches for refining the antibody development process. This surge underscores the industry's acknowledgment of mAbs as crucial therapeutic agents, necessitating continuous efforts to optimize and advance the antibody pipeline. Simultaneously, Artificial Intelligence (AI) and deep learning, having made significant progress, now play a pivotal role in the intricate tasks of designing and optimizing antibodies. โ BoltPro employs deep learning algorithms to create novel antibodies, focusing on achieving optimal binding and developability characteristics. Try Boltpro beta now: https://lnkd.in/gtUMnRad #Boltzmann #deeplearning #BoltPro #ai #ml #proteinengineering #antibodies #antibodydiscovery #antibodytherapeutics #drugdiscovery #aidrugdiscovery #computationalbiology #bioinformatics #pharma #biotech Image Credits: https://lnkd.in/gR8fYC9b
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The global monoclonal antibodies (mAbs) market has experienced significant growth, with the market value surging from $188.18 billion in 2022 to $209.98 billion in 2023. Projections indicate that it is on track to reach an impressive $330.35 billion by 2027. This remarkable expansion underscores the pharmaceutical industry's heightened focus on mAbs, prompting the development of innovative approaches to refine the antibody development process. Recognizing mAbs as pivotal therapeutic agents, the industry is committed to ongoing efforts aimed at optimizing and advancing the antibody pipeline. Notably, the integration of Artificial Intelligence (AI) and deep learning has played a transformative role in designing and optimizing antibodies, marking a significant milestone in antibody development. In this dynamic landscape, the utilization of AI in drug discovery processes is paramount. Medvolt, at the forefront of AI-based drug discovery, offers a groundbreaking approach to expedite the drug discovery journey. Leveraging the power of AI, Medvolt streamlines and enhances the identification and development of novel drugs. We invite you to experience firsthand the revolutionary impact of Medvolt's cutting-edge technology through our demo sessions, showcasing how AI can reshape and accelerate your drug discovery initiatives. ๐ ๐๐๐ฅ ๐๐ซ๐๐ ๐ญ๐จ ๐๐จ๐ง๐ญ๐๐๐ญ ๐ฎ๐ฌ ๐ข๐ ๐ฒ๐จ๐ฎ ๐ก๐๐ฏ๐ ๐๐ง๐ฒ ๐ข๐ง๐ช๐ฎ๐ข๐ซ๐ข๐๐ฌ ๐จ๐ซ ๐ซ๐๐ช๐ฎ๐ข๐ซ๐ ๐ ๐๐๐ฆ๐จ๐ง๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง. ๐๐'๐ซ๐ ๐ก๐๐ซ๐ ๐ญ๐จ ๐๐ฌ๐ฌ๐ข๐ฌ๐ญ ๐ฒ๐จ๐ฎ ๐๐ง๐ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ ๐๐ฅ๐๐ซ๐ข๐ญ๐ฒ. Email: contact@medvolt.ai Website: https://www.medvolt.ai #drugdiscovery #python #deeplearning #linux #pipeline #genomics #moleculardocking #virtualscreening #therapeutics #drug #cancertreatment #health #cancertherapeutics #cancertherapy #generativeai #medvolt
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Whatโs holding back progress in developing drugs targeted at RNA and protein-protein interactions? Poor quality analytical data. Hereโs why. In this article for pharmaphorum our CEO Gordon Hamilton discusses the opportunities and challenges in expanding the drug target universe to include so-called โundruggableโ targets like RNA and protein-protein interactions. https://lnkd.in/e-CuWNx5 The big issue is a lack of detailed information about mechanism of action, off-target effects, and binding kinetics, particularly at the hit-to-lead and lead optimisation stage. This results in the selection and progression of sub-optimal lead compounds through the drug development pipeline. Unfortunately, current analytical techniques for studying molecular interactions between RNA, proteins and small molecules are inherently limited, due to being indirect, static, unrepresentative or unsuitable for use at scale. Our MAGNAโข technology is a unique, scalable platform for probing molecular interactions with a wide range of applications across the drug discovery pipeline. Based on magnetic force spectroscopy, MAGNA delivers direct, real-time measurement of dynamic interactions across thousands of individual molecules. Weโre currently seeking partnerships with pioneering biopharma companies interested in exploring exciting novel targets in the RNA and protein-protein interaction space to accelerate next-generation therapeutics to the clinic. Check out our website and get in touch to find out more: https://depixus.com/ #DrugDiscovery #biotherapeutics #SmallMolecules #RNATherapeutics
Solving the hit-to-lead selection challenge for novel targets
pharmaphorum.com
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Google DeepMind and its spinoff drug discovery firm Isomorphic Labs rolled out a new version of AlphaFold. This AI model can predict the structure and interactions of all life's molecules, including proteins and DNA. Further, the firm is also collaborating with pharmaceutical companies to apply it to real-world drug design challenges with a goal to develop new "life-changing" treatments for patients. #AI #Google #AIinHealthcare #Medical #DeepMind
Google DeepMind unveils next-gen AlphaFold AI model to accelerate drug discovery
moneycontrol.com
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BioPharma & HealthTech Competitive Strategy & Insights | Digital & AI Solutions | Gene & Cell Therapy | Vaccines
New platform solves key problems in targeted drug delivery - Phys.org >>> lqventures.com #strategy #competitiveintelligence #marketing #pharmaceutical #pharma #competitivemarketing #biotech #healthcare
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What do you think is the most innovative approach to pharmaceutical care? โ๏ธ Certainly, here are a few more innovative approaches to pharmaceutical care: - Microbiome-based Therapies: Exploring the role of the gut microbiome in drug metabolism and developing therapies that consider this factor. - Gene Editing and CRISPR: Advancements in gene editing techniques for potential treatment of genetic diseases. - Real-World Evidence (RWE): Utilizing data from real-world patient experiences to inform drug development and decision-making. - Drug-Device Combinations: Developing drugs that work in tandem with specialized delivery devices, improving treatment effectiveness. - Biosimilars and Biobetters: Creating biologic drugs that mimic or improve upon existing biologics, potentially lowering costs. - Natural Products and Traditional Medicine: Investigating traditional remedies and natural products for novel pharmaceutical applications. - 3D Drug Screening: Using 3D cell cultures and organoids for more accurate drug testing and toxicity assessment. - Virtual Clinical Trials: Conducting clinical trials using digital platforms and remote monitoring, increasing efficiency and patient participation. - AI Chatbots and Virtual Assistants: Using AI-powered chatbots to provide medication information, reminders, and support to patients. These approaches collectively represent a diverse range of innovations in the field of pharmaceutical care.
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Somehow we are already approaching the mid way point of 2024! Pharmaceutical Drug Development has made some interesting strides during the last six months. Exciting Breakthroughs in Drug Development in 2024 Alzheimerโs Disease Treatment Eli Lilly is set to debut a new treatment for Alzheimerโs disease that targets amyloid, the protein that builds up in the brains of patients. In studies submitted to the U.S. Food and Drug Administration (FDA), people receiving the drug experienced 35% slower cognitive decline and 40% less decline in their ability to perform daily activities. This efficacy is slightly higher than existing medications for the neurodegenerative disease. The FDA is expected to make a decision about the drug in early 2024. Innovative Blood-Disorder Treatments After approving the first CRISPR treatment, Casgevy, for sickle cell anemia, the FDA is reviewing the same therapy for another genetic blood disorder called beta thalassemia. This one-time treatment allows people to make more healthy blood cells, reducing the number of painful episodes. The FDA is also considering other gene-based treatments that donโt use CRISPR but rely on more traditional virus-based methods. One such treatment is for hemophilia B, which has shown to lower the risk of annual bleeding by 71% in studies. Novel Schizophrenia Drug Later in the year, the FDA will review a new drug treatment for schizophrenia โ the first for the psychiatric condition in decades. Karuna Therapeutics has improved upon existing antipsychotics by targeting a different brain chemical than existing medications. In a study, the drug helped to reduce the extremes of symptoms that are typical of the condition. The Ascension of AI in R&D The field of AI has seen significant breakthroughs in chemistry and drug discovery. Generative AI is impacting drug discovery, machine learning is being used more in environmental research, and large language models like ChatGPT are being tested in healthcare applications and clinical settings. Many scientists are keeping an eye on AlphaFold, DeepMindโs protein structure prediction software that revolutionized how proteins are understood. These breakthroughs represent just a fraction of the exciting developments in drug discovery and development in 2024. As we continue to push the boundaries of science and technology, we can look forward to even more innovative treatments that have the potential to improve and save lives. #Biotech #BioPharma #Drugdevelopment
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A Complete Guide to ๐๐ข๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ - [PDF Guide] โก ๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐ ๐ ๐ซ๐๐ ๐๐๐ ๐๐จ๐ฉ๐ฒ: https://lnkd.in/d4ZD_3mm Biologics are pharmaceutical products that are manufactured using biological processes rather than chemical synthesis. They are typically derived from living organisms such as humans, animals, microorganisms, or plants. Biologics include a wide range of products such as vaccines, blood components, gene therapies, tissues, and recombinant therapeutic proteins. These drugs have revolutionized the treatment of various diseases, including cancer, autoimmune disorders, and genetic conditions. One key characteristic of biologics is their complexity. Unlike small molecule drugs, which have well-defined structures, biologics are often large, complex molecules with intricate structures. This complexity can pose challenges in terms of manufacturing, quality control, and characterization. Biologics are typically produced using biotechnology techniques such as recombinant DNA technology, cell culture, and protein purification. Because of their complexity and the processes involved in their manufacture, biologics are subject to strict regulatory oversight to ensure their safety, efficacy, and quality. These drugs have significantly impacted the field of medicine, offering new treatment options for patients with serious and often life-threatening conditions. However, they can also be expensive to develop and produce, which can limit access for some patients. Nonetheless, ongoing research and advancements in biotechnology continue to drive innovation in the field of biologics, offering hope for improved treatments and cures for a wide range of diseases.
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