Smriti Mishra’s Post

🚀 Exciting times in computational biology! 🚀 Recently, incredible advancements in computational biology have left me amazed. DeepMind's AlphaFold is revolutionizing protein folding with remarkable accuracy, accelerating drug discovery and molecular understanding. 🌟 The integration of multi-omics data, combining genomics, proteomics, and metabolomics, is offering a comprehensive view of biological systems, uncovering complex interactions like never before. 🧬 Lastly, the rise of personalized medicine, thanks to bioinformatics, is tailoring treatments to individual genetic makeup, improving patient outcomes and reducing side effects. 💡 #bioinformatics #computationalbiology #innovation

AlphaFold 3 is a game-changer in biology! 🌟 Developed by Google Google DeepMind, this revolutionary AI model can predict the structure of proteins and other molecules with unprecedented accuracy, surpassing its predecessors by over 50%. 📈🔬 Scientists worldwide can now access the new AlphaFold server for non-commercial research, unlocking rapid discoveries in biology, drug development, and molecular structure understanding. 🌍🚀 #alphafold3 #airesearch #proteinstructure #molecularbiology #drugdiscovery #googledeepmind #sonnyarcot #arcotgroup #google #meta

Revolutionizing biology with AI! 🌟 AlphaFold 3, by Google DeepMind, is here to change how we understand life's molecules. With precision never seen before, it's not just science—it's our future! 🔬💡 #AlphaFold3 #DeepMind #RevolutionaryAI #FutureOfScience #BiologyInnovation #AlphaFold3 #Deepmind #scientificbreakthrough #proteinfolding #biologicalresearch #techforgood #aiinscience #google #meta #sonnyarcot #arcotgroup AlphaFold 3, DeepMind AI, Protein structure prediction, Scientific research technology, Molecular biology, Non-commercial research access, Innovations in science

🌟 Exciting News in Genomic Analysis: Introducing DNASCANNER v2! 🧬 It’s my pleasure to announce the unveiling of DNASCANNER v2, the next generation of the web-based tool, developed for sorting out the characteristics of the nucleotide sequences. The product was developed by a team, led by Preeti P ma'am under the guidance of Dr. Kamal Rawal sir. DNASCANNER v2 represents a significant progress in the field of DNA analysis technology. Evolutionary processes have endowed DNA with a plethora of distinct mutations, often manifesting in organized patterns crucial for various biological functions. DNASCANNER v2 delves deep into these patterns, unraveling the physicochemical, mechanical, thermodynamic, and structural properties of DNA sequences. Through an intuitive interface tailored for researchers of all backgrounds, this tool provides an exhaustive analysis encompassing 158 DNA properties. From nucleotide frequencies to intricate structural characteristics, DNASCANNER v2 offers comprehensive insights In an era of personalized medicine and with the emergence of genetic engineering, DNASCANNER v2 will be an invaluable tool in the quest to understand the intricacies of the DNA. Whether you’re an experienced researcher or a curious explorer, this DNASCANNER v2 is to provide you with an opportunity to read the genome’s silent world My heartiest gratitude to Azeen Riyaz, Alakto Choudhury, Priyanka Ray Choudhury, Nischal Pradhan, Mihir Nakul , Chhavi Dudeja, Abhijeet Yadav, Swarsat Kaushik Nath, Vrinda Khanna, Trapti Sharma, Gayatri Pradhan and Simran Takkar for their contributions to make this project successful. Paper link: https://lnkd.in/gyQC8KXk Tool link: https://lnkd.in/gbg-5cVK #DNASCANNERv2 #GenomeAnalysis, #Research #Innovation #ArtificialInteliigence #ComputationalBiology

Want to understand how we make our digital maps of biology? Our updated preprint explains. “Building, Benchmarking, and Exploring Perturbative Maps of Transcriptional and Morphological Data” reveals how scientists at Recursion and Genentech are scaling genetic perturbation techniques with high-dimensional assays such as cellular microscopy and RNA-sequencing in order to create digital “maps of biology” that both capture known biological relationships and uncover new associations that can lead to new therapeutic discoveries. The paper shows how datasets from various experiments (including CRISPR-Cas9 knockout, CRISPRi knockdown, and compound treatment) are combined to create these maps – unified, relatable embedding spaces allowing for the generation of genome-scale sets of pairwise comparisons. In the paper, the researchers:  (1) establish a standardized terminology for the steps involved in perturbative map building (2) introduce key classes of benchmarks to assess the quality of such maps (3) construct maps from four genome-scale datasets employing different cell types, perturbation technologies, and data readout modalities (4) generate benchmark metrics for the constructed maps and investigate the reasons for performance variations, and  (5) demonstrate utility of these maps to discover new biology by suggesting roles for two largely uncharacterized genes. Learn more: https://lnkd.in/e9UmvZQ8 #ai #ml #maps #tech #drugdiscovery #techbio #digitalmaps #biology Safiye C. Jan-Christian Hütter, Nathan Lazar, PhD, Rahul Mohan, Conor Tillinghast, Tommaso Biancalani, Marta Fay, Berton Earnshaw, Imran Haque

🌟 Applications of Bio-IT 🌟 The fusion of biology and information technology is creating remarkable advancements across various fields. Bio-IT is transforming our approach to medicine, agriculture, and beyond. 🔬 Key Applications of Bio-IT: 1️⃣ Drug Design: Using bioinformatics to identify potential drug targets based on genetic and proteomic data. 2️⃣ Agri-Biotech: Genetic analysis and modification to enhance various plant properties. 3️⃣ Personalized Medicine: Analyzing patient genomes to identify genetic mutations and diseases. 4️⃣ Forensic Science: Analyzing genetic material for criminal investigations and paternity testing. 5️⃣ Neuro Informatics: Using bioinformatics tools to map and understand brain function and disorders. 6️⃣ Synthetic Biology: Designing synthetic genes or pathways that can perform specific functions within cells. Bio-IT is not just a field; it's a revolution that holds the promise of solving some of the biggest challenges in science and healthcare. #Bioinformatics #Biotechnology #DrugDesign #AgriBiotech #PersonalizedMedicine #ForensicScience #NeuroInformatics #SyntheticBiology #BioIT #Innovation #Biotecnika

📢 Introducing ARTEMIS: A New Tool Uncovering Hidden Patterns in RNA Structure 🧬 Eugene F. Baulin from the Laboratory of Bioinformatics and Protein Engineering at IIMCB have developed ARTEMIS, a new computational method with the potential to transform our understanding of RNA - a key molecule essential to countless cellular functions. 🔬 RNA isn’t just a simple strand of nucleotides carrying genetic information. Like proteins, RNA molecules fold into complex 3D structures that are crucial for their diverse roles in cells. However, studying and comparing these shapes has been a longstanding challenge, especially when sequences vary. ARTEMIS aims to overcome this by enabling researchers to analyze RNA structures independently of their nucleotide sequences, revealing functional similarities that could otherwise remain hidden. 👉 Read the full story: https://lnkd.in/ddEQxnkZ

🚨 𝐅𝐑𝐄𝐄 𝐖𝐄𝐁𝐈𝐍𝐀𝐑 𝐀𝐋𝐄𝐑𝐓🚨 📢𝐖𝐞𝐛𝐢𝐧𝐚𝐫 𝐓𝐢𝐭𝐥𝐞: Building a Spatial Transcriptomics Platform 🧬🔬 Explore the exciting world of '𝑺𝒑𝒂𝒕𝒊𝒂𝒍 𝑻𝒓𝒂𝒏𝒔𝒄𝒓𝒊𝒑𝒕𝒐𝒎𝒊𝒄𝒔' in this informative webinar hosted by the European Bioinformatics Institute | EMBL-EBI. This session will cover the creation of a platform that helps visualize and analyze gene expression data in a spatial context. A must-attend for researchers and students in 'Bioinformatics, Life Sciences, and Medical Sciences!' 📅 𝐃𝐚𝐭𝐞: October 2, 2024 🕑 𝐓𝐢𝐦𝐞: 15:30 - 16:30 ( BST ) 𝑹𝒆𝒈𝒊𝒔𝒕𝒓𝒂𝒕𝒊𝒐𝒏 𝒊𝒔 𝒇𝒓𝒆𝒆 𝒃𝒖𝒕 𝒆𝒔𝒔𝒆𝒏𝒕𝒊𝒂𝒍: 🌐 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐇𝐞𝐫𝐞: (https://lnkd.in/gRVMnpRd) 𝐅𝐢𝐫𝐬𝐭 𝐜𝐨𝐦𝐞, 𝐟𝐢𝐫𝐬𝐭 𝐬𝐞𝐫𝐯𝐞𝐝: 1000 places 𝘿𝙤𝙣'𝙩 𝙢𝙞𝙨𝙨 𝙤𝙪𝙩 𝙤𝙣 𝙩𝙝𝙞𝙨 𝙤𝙥𝙥𝙤𝙧𝙩𝙪𝙣𝙞𝙩𝙮 𝙩𝙤 𝙗𝙧𝙤𝙖𝙙𝙚𝙣 𝙮𝙤𝙪𝙧 𝙠𝙣𝙤𝙬𝙡𝙚𝙙𝙜𝙚 𝙖𝙣𝙙 𝙣𝙚𝙩𝙬𝙤𝙧𝙠 𝙬𝙞𝙩𝙝 𝙚𝙭𝙥𝙚𝙧𝙩𝙨 𝙞𝙣 𝙩𝙝𝙚 𝙛𝙞𝙚𝙡𝙙! #Webinar #SpatialTranscriptomics #Bioinformatics #Research #EBITraining #LifeSciences

🎊 🔬 For day 7 of the 12 days of bioinformatics, we're zooming into the world of image analysis with CellProfiler. 🎊 CellProfiler is a powerful tool for extracting quantitative data from biological images. What can you do with it? ❄️ High-Throughput Screening (HTS): Easily analyze large image volumes to quantify changes in cell morphology, viability, and other phenotypic traits. Ideal for understanding compound effects at scale. ❄️ Fluorescence Microscopy Analysis: Measure fluorescence intensity and distribution to study protein localization, gene expression, and signaling pathways. Precision insights into complex cellular processes await! ❄️ Developmental Biology: Track changes in cell populations and structures over time to uncover developmental mechanisms and abnormalities—providing a deeper understanding of growth at the cellular level. The CellProfiler workflow on Mantle makes it easy to quantify biological images reproducibly, automatically, and at high-throughput. 🎊 Explore the full documentation here: https://lnkd.in/egVspwrJ #Bioinformatics #CellProfiler #ImageAnalysis #DataScience #HighThroughputScreening #FluorescenceMicroscopy

Please join us in listening to our bioinformatics expert, Matthew Campbell, PhD, speak at Neo4j’s LifeScience hybrid event on June 12 at 9:00 EDT | 13:00 BST | 14:00 CEST | 18:30 IST!    Knowledge graphs can uncover hidden relationships and patterns across massive datasets. At InterVenn, we use this technology to develop a deeper understanding of glycobiology and reveal novel insights into disease-related pathways.    Register here to listen in to the conversation: https://lnkd.in/dq9WxdAU #knowledgegraph #glycoproteomics #bioinformatics