Lab Made PCV2b



 Learn about lab-made PCV2b (Porcine Circovirus type 2b) and how scientists study this virus in controlled laboratory environments. This video explores viral genetics, molecular cloning techniques, and the importance of PCV2b research in understanding swine diseases and improving veterinary vaccine development.

#PCV2b #PorcineCircovirus #Virology #VeterinaryScience #VirusResearch #MolecularBiology #GeneticEngineering #SwineHealth #BiomedicalResearch #LifeScience #VaccineResearch #Microbiology Computational Biologists Awards Visit our page : https://computationalbiologists.com/ Nominations page : https://computationalbiologists.com/award-nomination/?ecategory=Awards&rcategory=Awardee -----------------------Other socialmedia------------------------- Instagram : https://www.instagram.com/_awardresearcher_02/ Blogger : https://www.blogger.com/blog/posts/859633461166750462 Twitter : https://x.com/AwardResearcher Facebook : https://www.facebook.com/profile.php?id=61573772493321

Comments

Post a Comment

Popular posts from this blog

 🔬 RNA Processing Genes: Colon Cancer Breakthrough! #ColonCancer #RNAProcessing #CancerResearch #Genomics Don't forget to like and share this video Visit our page : computationalbiologists.com Nominations page : https://computationalbiologists.com/award-nomination/?ecategory=Awards&rcategory=Awardee Follow us on: Instagram : https://www.instagram.com/_awardresearcher_02/ Blogger : https://www.blogger.com/blog/posts/859633461166750462 Twitter : https://x.com/AwardResearcher Facebook : https://www.facebook.com/profile.php?id=61573772493321 Tumblr : https://www.tumblr.com/computationalbiologistsawards?source=share Pintrest : https://in.pinterest.com/awardresearcher/_profile/ Youtube : https://www.youtube.com/@ResearcherAward
Read more

A targeted approach to using AI in drug discovery

Image
  How are we improving the way the field of drug discovery creates machine learning algorithms to predict a protein’s interactions with a small molecule? The drug development pipeline is a costly and lengthy process. Identifying high-quality ‘hit’ compounds – those with high potency, selectivity and favorable metabolic properties – at the earliest stages is important for reducing cost and accelerating the path to clinical trials. For the last decade, scientists have looked to machine learning to make this initial screening process more efficient. Computer-aided drug design is used to computationally screen for compounds that interact with a target protein. However, the ability to accurately and rapidly estimate the strength of these interactions remains a challenge. “Machine learning (ML) promised to bridge the gap between the accuracy of gold-standard, physics-based computational methods and the speed of simpler empirical scoring functions,” commented Benjamin P. Brown, an assista...
Read more

Study across multiple brain regions discerns Alzheimer’s vulnerability and resilience factors

Image
  Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition. An open-access MIT study published today in  Nature  provides new evidence for how specific cells and circuits become vulnerable in Alzheimer’s disease, and hones in on other factors that may help some people show resilience to cognitive decline, even amid clear signs of disease pathology.  To highlight potential targets for interventions to sustain cognition and memory, the authors engaged in a novel comparison of gene expression across multiple brain regions in people with or without Alzheimer’s disease, and conducted lab experiments to test and validate their major findings. Brain cells all have the same DNA but what makes them differ, both in their identity and their activity, are their patterns of how they express those genes. The new analysis measured gene expression differences in more ...
Read more