InterVenn Biosciences’ Post

Explore the world of bioinformatics with Smith-Waterman 3D Tool! 🧬 The Smith-Waterman algorithm is a powerful tool in bioinformatics used for comparing protein or DNA sequences to identify similarities and differences. It efficiently aligns sequences and calculates similarity scores, helping researchers pinpoint structural and functional similarities between biomolecules. Smith-Waterman 3D Tool is essential for biotechnological research, where it aids in understanding molecular evolution, identifying conserved regions in proteins, and predicting functional domains. This tool simplifies the analysis of genomic and proteomic data, allowing for precise comparisons that reveal crucial insights into biological processes. Start using Smith-Waterman 3D and enhance your biomolecular analysis and biotechnological research efforts! #Bioinformatics #SmithWaterman #Biotechnology #ProteinAlignment #DNAAlignment #ResearchRevolution Try it out at www.quandlelabs.com

Our research focused on analyzing the DPP-IV inhibitory potential of bioactive peptides from Buffalo colostrum is now published in the Journal of Molecular Recognition (WILEY)! Using bioinformatics, we pinpointed potential peptides in buffalo colostrum, with one heptapeptide showing promising DPP-IV inhibition in vitro To access the methodology followed and our insights to the key residues of these two enzymes, click on the link below: https://lnkd.in/gvhUPgUX #publication #researchpublication #bioinformatics #lifescience #insilicodiscovery

Check out USM's Office of Innovation Management latest Tech Thursday Spotlight!

Juozas Gordevicius will be attending Corewell Health Metabolomics Symposium, in Grand Rapids, MI, USA 🇺🇸, on August 15, 2024! ☕️ Get in touch with Juozas Gordevicius if you would like to meet, connect and discuss how bioinformatics at VUGENE can support your research! #VUGENE #bioinformatics #datascience #research #Metabolomics

Synthetic genomics means writing genomes from scratch. Our approach leverages a state-of-the-art molecular biology toolkit, rooted in groundbreaking research. We're building upon the foundational work detailed in notable publications: Wang (2019) in Science: https://lnkd.in/eMRp8WEs Fredens (2019) in Nature https://lnkd.in/ezTv3eY Zurcher (2023) in Nature https://lnkd.in/ei8MTEYx These papers have been instrumental in shaping our proprietary technology. Leading the charge is Daniel de la Torre and the incredible Constructive Bio synthetic genomics team. Their expertise and dedication are key to our success. What does this mean for the world of biology and medicine? We're talking about creating artificial chromosomes, large genomic constructs, specific genomic loci, and even entire genomes from scratch. The implications for medical research, personalized medicine, and industrial biotechnology are profound. #syntheticgenomics #DNA #biotechnology

🌟 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

Holding new meetings for several collaborations with research centers for advanced bioinformatics analyzes in finding diagnostic markers and finding different signaling pathways and metabolites. #bioinformatics #biomarker discovery

📣 #CallForPapers JMIR Publications is pleased to announce a new theme issue titled “Machine Learning-Based Predictive Models Using Genomic Data” in JMIR Bioinformatics and Biotechnology—a SCOPUS-indexed, peer-reviewed journal focusing on bioinformatics, computational #biology, and biotechnology. This theme issue aims to explore cutting-edge research at the intersection of machine learning and genomics, fostering advancements in #predictivemodeling for biological insights. JMIR Bioinformatics and Biotechnology welcomes submissions from researchers, educators, and practitioners from around the world. Potential topics include but are not limited to: - Development and application of #machinelearning algorithms for phenotype prediction using genomic data - Integration of multi-omics data for #predictivemodeling - Prediction of biological outcomes, disease associations, and functional genomics - Novel methodologies for handling large-scale genomic data sets Learn more:  https://lnkd.in/eR2-3ZJB EiC: Ece Uzun, MS, Ph.D.,FAMIA #bioinformatics #biotechnology #genomicdata

Google's AlphaFold 3, a breakthrough in biology - predicts 3D structures and interactions of diverse molecules with great accuracy. Developed by Google DeepMind, it extends beyond proteins, including DNA and RNA. The model boasts a 50% improvement in protein interaction prediction and doubled accuracy in vital areas. Accessible via AlphaFold Server, it supports global research, partnering with Isomorphic Labs for groundbreaking treatments. Utilizing diffusion, it refines molecular structures to their most precise form. Link to read more in the comments. #artificialintelligence #technology #innovation #biology #google