Theoretical models in systems biology are indispensable tools for understanding how life works, and have many practical applications, such as optimising drug development. Our BioModels data resource is a leading open repository of mathematical models of biological and biomedical systems. BioModels is now running the second edition of the ‘Model of the Year’ competition, specifically aimed at early career researchers. The competition is designed to acknowledge exceptional modelling research, while also promoting best practices and reproducibility in the field. Check out requirements and submit your innovative models for a chance to win. https://lnkd.in/g-9ShwmF #systemsbiology #mathematicalmodeling #bioinformatics #opendata
European Bioinformatics Institute | EMBL-EBI’s Post
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As they say "Illustrations are more comprehensive than written text". Unveiling an inaugural post from 'Pharma Science Linguist', a concise presentation exploring classification, characterization and biomedical utilities of carbon nano-allotropes. I would urge everyone to share their valuable insights in the comment section. The journey of exploring latest trends going on in the biomedical research begins here! #scientificwriting
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Discover the biology of disease with Peter van der Spek “It is very important that things that are being discovered in academics are being converted into business.” It is the collaboration between companies, research and knowledge institutions, and the government that makes Rotterdam a breeding ground for the many medical innovations that are developed here and find their way to patients worldwide. Professor in Bioinformatics at Erasmus MC, Peter van der Spek, knows firsthand the importance of collaboration in advancing medical research. Let him convince you to work together. Watch the full interview here: https://lnkd.in/eSnyrEMh #RotterdamGenomics #LifeSciences #DNAResearch #MedicalInnovation #Collaboration
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Discover the biology of disease with Peter van der Spek “It is very important that things that are being discovered in academics are being converted into business.” It is the collaboration between companies, research and knowledge institutions, and the government that makes Rotterdam a breeding ground for the many medical innovations that are developed here and find their way to patients worldwide. Professor in Bioinformatics at Erasmus MC, Peter van der Spek, knows firsthand the importance of collaboration in advancing medical research. Let him convince you to work together. Watch the full interview here: https://lnkd.in/eSnyrEMh #RotterdamGenomics #LifeSciences #DNAResearch #MedicalInnovation #Collaboration
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Discover the biology of disease with Peter van der Spek “It is very important that things that are being discovered in academics are being converted into business.” It is the collaboration between companies, research and knowledge institutions, and the government that makes Rotterdam a breeding ground for the many medical innovations that are developed here and find their way to patients worldwide. Professor in Bioinformatics at Erasmus MC, Peter J. van der Spek, knows firsthand the importance of collaboration in advancing medical research. Let him convince you to work together. Watch the full interview here: https://lnkd.in/eAwX89Pr #RotterdamGenomics #LifeSciences #DNAResearch #MedicalInnovation #Collaboration
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📆 Webinar Announcement: "Simplifying Research: Literature Review Made Easy with Bionl" Don't miss out on our upcoming free #webinar on January 6th! Discover how Bionl.ai is transforming #literature review into a streamlined, effortless process. Registration Link: https://lu.ma/n2kzmost #Webinar #Bioinformatics #LiteratureReview
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interesting article
Incurably Curious | BioMed X Institute | XSeed Labs | Building world-class innovation ecosystems for biomedical research, drug discovery and development.
Did you ever wonder which machine learning (ML) algorithm would be best to draw meaningful conclusions from your biomedical research data? Here is a very nice introduction to the different classes of ML algorithms and how they can be used in biomedical research. Review article by Noam Auslander, Ayal Gussow, PhD, and Eugene Koonin in the International Journal of Molecular Sciences (published March 12, 2022): https://lnkd.in/eziaJ-KB Interested in starting your own company at our AION Labs in #Israel in the field of AI-powered drug discovery of new high-affinity small molecules? Read more and apply here: https://lnkd.in/e22i6pix BioMed X Institute #artificialintelligence #machinelearning #deeplearning #bioinformatics #drugdiscovery #drugdevelopment #drugdesign
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Dmitry Korkin’s work has shown that computers can take researchers places where traditional life sciences and medical studies can’t, while also helping direct and accelerate the work of those in the lab and the clinic. Read more about his research in the Spring 2023 issue of the WPI Journal.
Computational Connections – WPI Journal
https://wp.wpi.edu/journal
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Biomedical Use cases of Machine Learning #machinelearning
Incurably Curious | BioMed X Institute | XSeed Labs | Building world-class innovation ecosystems for biomedical research, drug discovery and development.
Did you ever wonder which machine learning (ML) algorithm would be best to draw meaningful conclusions from your biomedical research data? Here is a very nice introduction to the different classes of ML algorithms and how they can be used in biomedical research. Review article by Noam Auslander, Ayal Gussow, PhD, and Eugene Koonin in the International Journal of Molecular Sciences (published March 12, 2022): https://lnkd.in/eziaJ-KB Interested in starting your own company at our AION Labs in #Israel in the field of AI-powered drug discovery of new high-affinity small molecules? Read more and apply here: https://lnkd.in/e22i6pix BioMed X Institute #artificialintelligence #machinelearning #deeplearning #bioinformatics #drugdiscovery #drugdevelopment #drugdesign
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Spreading is a key activity in a network, and hence, an unmet need exists for identifying the influential spreaders (IS) in a protein-protein interaction network (PPIN). However, for best outcomes, these spreaders should be derived from a causal inference of interacting proteins, which, again, must be enriched in specific contexts by augmenting information such as pathways, localization, process, and tissue specificity. ‘konnect2prot’ (Published in Oxford Bioinformatics, 2023) is a first-of-its-kind user-friendly directional PPI web application that stores multidimensional information of an interactome and provides user-driven context-specificity and IS identification. konnect2prot fetches information from secondary PPI databases and thereafter filters for causality. It allows the search of single or multiple proteins to build a directional PPI network. Using localization, biological process, tissue-specificity, molecular function, and pathway filters, users can build a context-specific PPIN. Context-specificity plays a vital role in understanding the underlying mechanism of a disease. For example, when investigating proteins, the initial step is determining their location within the cells, a reference for designing drugs. Users can then find the IS acting as maximizers of a spreading process. They can also be controllers to halt the information flow throughout the network. For example, if the goal is to stop a virus propagation, one would hunt for controllers, whereas if the goal is to maximize the impact of a specific treatment, one would need maximizers. Afterwards, a clustergram of IS-related pathways is also provided to find which pathways are modified by the network's top spreaders. This will enable the identification of intra-pathway deregulation, pathway interdependence, and genes' pleiotropic effects. Access konnect2prot through the following link: https://lnkd.in/e9sKsE-M Publication link: https://lnkd.in/eVjnt4jK #konnect2prot #PPI #DATABASE #WEBSERVER #NETWORK #PROTEIN
Glance at konnect2prot
konnect2prot.thsti.in
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A new paradigm to address global data overload! As the world continues to generate data at an unprecedented rate, data has come to be seen as the ‘currency’ of the 21st century. “We are facing an impending data overload. DNA, the key biomaterial of every living thing on Earth, stores genetic information that encodes for an array of proteins responsible for various life functions. To put it into perspective, a single gram of DNA can hold over 215,000 terabytes of data – equivalent to storing 45 million DVDs combined,” said Assoc Prof Chueh Loo Poh. “Our method represents a major milestone in integrating biological systems with digital devices. By harnessing the power of DNA and optogenetic circuits, we have created the first 'living digital camera,' which offers a cost-effective and efficient approach to DNA data storage. Our work not only explores further applications of DNA data storage but also re-engineers existing data-capture technologies into a biological framework. We hope this will lay the groundwork for continued innovation in recording and storing information.” #data #NUSresearch #NUSimpact
A new paradigm of information storage! A team of researchers led by Assoc Prof Chueh Loo Poh from NUS Biomedical Engineering, and the NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), has pioneered an innovative ‘biological camera’ that harnesses living cells and their inherent biological mechanisms to encode and store data. #NUSResearch NUS College of Design & Engineering This discovery represents a significant breakthrough in encoding and storing images directly within DNA, creating a new model for information storage reminiscent of a digital camera. #NUSImpact Read more at https://lnkd.in/gtg3wpCp.
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