Kristal Allen’s Post

As we delve deeper into the fascinating world of molecules, we uncover the building blocks of life, innovation, and progress. Molecules are the tiny powerhouses driving scientific breakthroughs and technological advancements. Today, let's celebrate the wonders of molecular science and its impact on our world. 🌐💡 #MolecularScience #Innovation #Chemistry #Science #Technology #STEM #Research #Discoveries #MolecularEngineering #Progress #FutureTech #TinyWonders #ScienceIsAmazing #Curiosity #ChemistryWorld #MolecularBonds #BreakingBarriers #STEMDiscovery #MolecularMagic #ScientificAdvancements #ChemicalEngineering #LabLife #MoleculeMonday #ScienceMatters #Inspiration #UncoverTheUnknown #LinkedInScience #ExploreTheMolecularWorld #ScientificJourney #TheScienceBehindIt #ScientificBreakthroughs

Editorial in Life Sciences Review highlights the importance of a biomimetic approach to life science research:

Read #FeaturePaper: "Engineering Transport via Collisional Noise: A Toolbox for Biology Systems" by Alessandro Civolani et al. See more details at: https://lnkd.in/gr6cJswV #openquantumsystems stochastic #collisionmodels #quantumtransport in #noisymedia #quantumbiology #quantumspin models

🔬 Exciting New Discovery! 🌟 #MolecularScience #ScienceBreakthrough #Innovation #Research #Discovery #ScienceMatters #CuttingEdge #MoleculeMagic #Exploration #ScienceCommunity #ScienceNews #LinkedInPost #ScientificDiscovery #ExcitingNews

📃Scientific paper: A Latent Diffusion Model for Protein Structure Generation Abstract: Proteins are complex biomolecules that perform a variety of crucial functions within living organisms. Designing and generating novel proteins can pave the way for many future synthetic biology applications, including drug discovery. However, it remains a challenging computational task due to the large modeling space of protein structures. In this study, we propose a latent diffusion model that can reduce the complexity of protein modeling while flexibly capturing the distribution of natural protein structures in a condensed latent space. Specifically, we propose an equivariant protein autoencoder that embeds proteins into a latent space and then uses an equivariant diffusion model to learn the distribution of the latent protein representations. Experimental results demonstrate that our method can effectively generate novel protein backbone structures with high designability and efficiency. Discover the rest of the scientific article on es/iode ➡️https://etcse.fr/6Sxd

The Environmental Molecular Sciences Laboratory (EMSL) is developing a capability that will allow scientists to mine data patterns using the algorithm of graph identification of proteins in tomograms (GRIP-Tomo). The data that will be mined is either low contrast (signal to noise ratio) or too sparse to fully determine the structure of a specific target protein for patterns. While not yet demonstrated, this future implementation of GRIP-Tomo will help scientists develop new biological materials that can be used for clean energy production and other bioproducts. Learn more about GRIP-Tomo: https://bit.ly/3R1HRD5

#BehindSpringerChemistry – this week: "Journal of Cluster Science"   The journal presents research focused on basic and applied cluster science. This includes synthesis, characterization and modeling of various metal and molecular clusters as well as the application of clusters in catalysis, energy related research and biological or medical applications.   Find out more about the journal and our new editorial team: https://bit.ly/JCS-Home Stay tuned for the future development of the journal.   #SpringerChemistry #clusterchemistry

📢 DEADLINE for letters of intent: March 7 📢 https://lnkd.in/gAGGb3-N The “Facilities Integrating Collaborations for User Science” (FICUS) call between the JGI and the Environmental Molecular Sciences Laboratory (EMSL) is a unique opportunity for researchers to combine the power of genomics and molecular characterization in one proposed research project. Successful applications will focus on high risk/high payoff projects in the focused topic areas that can be completed on an accelerated timeline. In addition, they must utilize a broad range of the capabilities of each facility, and generate datasets beyond what each of these facilities could generate by itself. U.S. Department of Energy Office of Science Berkeley Lab Biosciences Area (LBNLBioSci)

Here's our newest work with the Sciencewise consortium - a short literature review of public attitudes to engineering biology, and a deep-dive on medical/health applications of engbio technologies. Thanks & well done to Natalia Grzomba, Anissa A. and all the team at Involve for putting this together. Part two, looking at food applications, coming soon!

🌐 Stay tuned for more updates on this fascinating journey, and join us in exploring the vast possibilities of molecular science. Together, we're pushing the boundaries of knowledge! #MolecularScience #ScienceBreakthrough #Innovation #Research #Discovery #ScienceMatters #CuttingEdge #MoleculeMagic #Exploration #ScienceCommunity #ScienceNews #LinkedInPost #ScientificDiscovery #ExcitingNews