Exploring the Secondary Structure of Human Prion Protein. Excited to share my recent bioinformatics journey! I generated and analyzed the secondary structure predictions of a human prion protein using Expasy and Phyre2, two powerful tools in computational biology. Secondary structure prediction helps us understand the folding, stability, and function of proteins, which is critical for insights into diseases and drug design. Phyre2 provides homology-based modeling for accurate structural predictions, while Expasy provides a comprehensive platform for sequence analysis. For deeper insight into the structure, I visualized one of the predictions using PyMOL, a versatile molecular visualization tool, to better interpret the protein's architecture. This experience enhanced my bioinformatic skills and easied the structural studies in understanding complex biological system. This experience inspired me doing such self learning. #Bioinformatics #ProteinModeling #PrionResearch #ComputationalBiology
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🚀 Excited to share an incredible course: Bioinformatics and Proteomics! 🧬💻 This interdisciplinary course dives into: 📊 Sequence analysis & microarray expression analysis 🤖 Bayesian methods, control theory & machine learning 🌐 Scale-free networks & signal processing 🧪 Biotechnology applications with real-world examples With a hands-on approach, it’s perfect for those with a computational or engineering background. Let's explore how biology meets technology! 🌱⚙️ Check link : https://lnkd.in/eUtN8TMv #Bioinformatics #Proteomics #ComputationalBiology #STEM #MachineLearning
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#Medical_Laboratory_Technologist | #Biochemistry | #Hematology | #Immunology | #Research | #clinical_chemistry | #Blood_bank | #molecular_biology 🔬
About Bioinformatics Bioinformatics is an interdisciplinary field that merges biology, computer science, and information technology to analyze and interpret vast amounts of biological data. It plays a crucial role in understanding genetic and molecular processes, enabling advancements in areas like genomics, proteomics, and personalized medicine. Key applications of bioinformatics include: 1️⃣-Genome Sequencing and Annotation: Identifying and mapping genes within DNA sequences. 2️⃣- Protein Structure Prediction: Understanding protein functions and interactions. 3️⃣-Data Management: Storing, organizing, and retrieving biological data efficiently. 4️⃣-Biological Network Analysis: Studying complex interactions within biological systems. #blood_bank #hematology #lab #Laboratories #laboratory #LinkedIn #Biochemistry #Bioinformatics
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FROM GENES TO NETWORKS: REALIZING THE DREAMS OF SYSTEMS BIOLOGY WITH BIOINFORMATICS Systems biology aims to understand biological complexity by looking at organisms as networks of genes, proteins, and interactions rather than isolated parts. Bioinformatics is the key to making this vision a reality. By integrating data from genomics, proteomics, and other "-omics," bioinformatics enables us to model entire biological systems. These models help us understand how different components interact, leading to breakthroughs in medicine, biotechnology, and agriculture. With advances in machine learning and big data, bioinformatics is pushing the boundaries of what’s possible. From identifying disease pathways to engineering synthetic organisms, the potential is immense. Bioinformatics is not just the future of biology—it’s the driving force behind systems biology’s biggest breakthroughs. #noblekinmat #Bioinformatics #SystemsBiology #Genomics #BigData #MachineLearning #Proteomics #Biotechnology #SyntheticBiology #DataScience #Healthcare #Innovation #Biology #LifeSciences
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Trivia Question: Which advanced bioinformatics tool employs machine learning algorithms to predict drug-target interactions based on structural and functional data of proteins? Possible Answers: A. STRING B. DeepDTI C. BLAST D. MOE (Molecular Operating Environment) #Bioinformatics #MachineLearning #DrugDiscovery #Trivia Sciqst, Precise References in Medicine. www.sciqst.com
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Bioinformatics: Where Biology Meets Data Science Bioinformatics merges biology and computer science to extract knowledge from biological data. It's crucial for genomics, proteomics, drug discovery, and personalized medicine. Bioinformatics is transforming biological research and healthcare. It's driving innovation and accelerating our understanding of life at the molecular level. Link to full blog https://lnkd.in/gUvMzpkF
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Researcher, Bioinformatician, CEO and Founder @noblekinmat.com, Entrepreneur, Public speaker, Writer
FROM GENES TO NETWORKS: REALIZING THE DREAMS OF SYSTEMS BIOLOGY WITH BIOINFORMATICS Systems biology aims to understand biological complexity by looking at organisms as networks of genes, proteins, and interactions rather than isolated parts. Bioinformatics is the key to making this vision a reality. By integrating data from genomics, proteomics, and other "-omics," bioinformatics enables us to model entire biological systems. These models help us understand how different components interact, leading to breakthroughs in medicine, biotechnology, and agriculture. With advances in machine learning and big data, bioinformatics is pushing the boundaries of what’s possible. From identifying disease pathways to engineering synthetic organisms, the potential is immense. Bioinformatics is not just the future of biology—it’s the driving force behind systems biology’s biggest breakthroughs. #noblekinmat #Bioinformatics #SystemsBiology #Genomics #BigData #MachineLearning #Proteomics #Biotechnology #SyntheticBiology #DataScience #Healthcare #Innovation #Biology #LifeSciences
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Democratizing Bioinformatics for a Smarter, Healthier Future!
Scientists present #MultiMM, a fast and accessible #chromatin modeling tool. It generates whole-genome structures in minutes, enhancing bioinformatics research capabilities. Quick Read: https://lnkd.in/gn29sfbD #Bioinformatics #ChromatinDynamics #GenomeModeling #sciencenews
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Bioinformatics is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data, particularly from genomics and molecular biology. It plays a crucial role in various areas such as genome sequencing, evolutionary studies, protein structure prediction, drug discovery, and personalized medicine. I got to attend a workshop on "Protein Modeling & 3D Visualization" by Dr. K C Shivakumar organized by the Rajiv Gandhi Center for Biotechnology (RGCB). This workshop provided hands on experience on PyMOL - a molecular visualization software used to view, edit & analyse molecular structures, including proteins, nucleic acids & small molecules.
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Excited to share that I recently attended another insightful online workshop on "Multi-Ligand Docking using PyRx and AutoDock Vina". This session was a great opportunity to enhance my molecular docking skills for computer-aided drug discovery (CADD) applications. Workshops like these fuel my passion for computational chemistry and bioinformatics, and I am motivated to further explore such learning opportunities in the future. I aim to continue building my expertise and contributing to research and development in the respective fields. #ComputationalChemistry #DrugDiscovery #MolecularDocking #Bioinformatics #ResearchAndDevelopment #ContinuousLearning
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🌟#notablepaper on New Computer Technologies for Bioinformatics 📚Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction 🔗https://lnkd.in/eGN-v6VP 👨🔬By Prof. Kil To Chong et al MDPI Jeonbuk National University #computertechnologies #Bioinformatics #insilico #drugdiscovery #artificialintelligence #machinelearning #deeplearning
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