![]() ![]() ▶️ Already, the small, landlocked country has produced one unicorn ( Picsart) with more on the way. ▶️ Besides Adobe, many of the world’s most powerful technology firms have set up shop there, including Microsoft Google IBM and Cisco. ▶️ In October, Adobe CEO Shantanu Narayen was in Yerevan to open a new Adobe building. This means that the structure has fourfold rotational symmetry, where rotating the complex by 90 degrees results in a structure that is identical to the original orientation.Īrmenia has emerged as a tech powerhouse with the presence of global players and a vibrant startup ecosystem. In this symmetry type, the protein subunits are arranged in a symmetrical pattern, repeating every 90 degrees around a central axis. In the picture: Here I asked DALL-E to generate a protein with C4 symmetry and upscaled the original DALL-E images with Upsqayl ( ). The designed proteins are highly expressed, fold and have favourable biophysical properties. Recently Chroma ( ) revealed the opportunity to directly sample novel protein structures and sequences, and this process is conditioned towards desired properties and functions. The global Generative AI market is expected to grow from USD 8.65 billion in 2022 to USD 188.62 billion by 2032 and revolutionises structural biology field as well. #data #deeplearning #ai #protein #crystallography #prediction #algorithms On the cover: The cover image was generated by DALL♾ in response to the prompt `A depiction of a protein crystal structure surrounded by abstract representations of digital data and AI algorithms, highlighting the data-driven approach in protein crystallography'. The work has been motivated by single molecule electron diffraction project carried out at Biozentrum, University of Basel and Paul Scherrer Institut PSI. If you are unfamiliar with any of the architectures, you can find relevant details in the appendix section as well. Special care is taken to emphasize the importance of #data quality, open-source implementations, and the sharing of model weights. The paper discusses key challenges in each of these steps and the metrics we should be aware of when training models. We have compiled the current literature on deep learning architectures in five key areas of #protein #crystallography: crystallization prediction, crystallization monitoring, data collection, model building, map interpretation and refinement. I'm excited to announce that our paper, "Deep Learning Applications in Protein Crystallography," is now featured on the #cover of Acta Crystallographica Section A's January issue as a Lead article. TERSE: Efficient compression of the diffraction data GitHub repo: #data #compression #opensource #dataanalysis #bigdata #diffraction I would like to express my gratitude to my mentor and supervisor, Jan Pieter Abrahams, for his invaluable guidance and for involving me in this project. This algorithm is a stride towards more efficient data analysis, interpretation, and storage of massive diffraction datasets. We've put the preprint on #Biorxiv and open-sourced TRPX C++20 compression/decompression code and an ImageJ/Fiji Java plugin for reading TRPX files on GitHub ( ), under the permissive MIT license. TRPX files are byte-order independent and can be seamlessly implemented in hardware, greatly simplifying your data management challenges. In our testing using continuous rotation electron diffraction data of an inorganic compound, #TRPX achieved up to 85% reduction in file size while processing up to 2000 512×512 frames per second on a single CPU. TRPX significantly outperforms established algorithms (gzip, CBF, HDF5) in terms of speed and compression efficiency. Excited to introduce #TERSE/PROLIX (TRPX for short)- a novel #lossless compression algorithm, tailored specifically for handling high-throughput #diffraction data in crystallography.
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