This Python package is your Swiss army knife for bioinformatics. It allows analysis of sequence and biomolecular structure data in an easy and efficient manner.

Joined November 2017
We are excited to announce the first alpha release of 💥 peppr - package for evaluation of predicted poses 💥 an open source framework for structural model evaluation Find out more at peppr.vant.ai/ built on @biotite_python, peppr dramatically simplifies evaluation for structure prediction and de-novo generation tasks. We built peppr because existing evaluation tools are heavy native binaries with limited cross-platform support and hard to extend. Peppr is built on familiar python and numpy, making it highly extensible without sacrificing speed. Built on biotite primitives, it also makes interfacing with RDKit and Biotite-based workflows much simpler.
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🧬 If you love open source, protein structures and are in NYC, don't miss the one and only @bradyajohnston next week! We'll also have Patrick Kunzmann from @biotite_python with us
📢 Join us for an exciting workshop on #MolecularNodes developed & presented by @bradyajohnston on Thu, Aug 1, 11AM-12PM at @vant_ai HQ in NYC. There will be an opportunity to socialize & ask follow-up questions over snacks afterwards. Registration: lu.ma/60sw069u
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I can now load _basically_ every atom from an entire bacterial cell, into #blender3d and #geometrynodes via #molecularnodes. Each macromolecule is down to atomic detail where available via CellPack, totalling ~250,000,000 points, all rendering (quite quickly) in Cycles #b3d
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A picture from the conclusion of the social dinner 🍢🌽 A big #ThankYou to all our participants for the good atmosphere, the nice discussions and the interesting presentations 💪 See you all next time! #GermanyRSG #GCB #GermanyRSGBuildingBridges
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Replying to @philipwfowler
Have a look at @biotite_python which uses numpy integer arrays for sequences, rather than python strings which the @Biopython Seq object used internally