Novel origin of replication for environmentally isolated Pantoea strain enables expression of heterologous proteins, pathways and ... https://t.co/YJAxyueL11 #biorxiv_micrbio
Are you working on biological transitions in fundamental developmental processes? 🔎
Get ready to deep dive into the theoretical knowledge of biological transitions and get hands-on training using state-of-the-art methods applied in-depth in different model systems.
⏰ Hurry up and apply for #EMBLDevBio
➡️ https://t.co/McRP8XgGuk
📩 Application deadline: 2 April
I'm starting my group in Koblenz on April 1st (no April Fools' joke!) - advertising soon two postdoc positions in #protist#ecology & genomics. If you're a (soon-to-be?) postdoc-level #protistologist looking for a job, get in touch! One position on wastewater, the other flexible!
Super excited to share our new selection-free CRISPR-Cas9 editing protocol for Dictyostelids, generating 80% KO and 30% KI efficiencies without selection in D. discoideum, and being effective in Dictyostelid species that diverged millions of years ago! https://t.co/4GQrkWEG9E
ABCFold: Easier Running and Comparison of AlphaFold 3, Boltz-1, and Chai-1
- Structural biology has seen a revolution with deep learning-based protein structure predictors like AlphaFold 3, Boltz-1, and Chai-1. However, running and comparing these models efficiently remains a challenge.
- ABCFold is a new tool that simplifies the process of running and benchmarking AlphaFold 3, Boltz-1, and Chai-1, allowing users to generate structure predictions with a standardized input format.
- The tool converts AlphaFold 3 JSON inputs into compatible formats for Boltz-1 and Chai-1, enabling seamless execution of all three models from a single input.
- ABCFold provides automated multiple sequence alignment (MSA) handling, supporting both JackHMMER-based searches and the MMseqs2 API. Users can also supply custom MSAs and template structures.
- The software includes a unified output visualization framework, allowing side-by-side comparison of model predictions, pLDDT scores, and predicted aligned error (PAE) values. Structural clashes are also highlighted for better assessment.
- One of the key benefits of ABCFold is its ability to automate installation and version management of Boltz-1 and Chai-1, reducing setup complexity for researchers.
- By providing standardized evaluation metrics and interactive visualization tools, ABCFold enhances reproducibility and helps researchers assess the relative strengths of different structure prediction methods.
- This tool is an important step toward better benchmarking of next-generation protein structure predictors, enabling broader adoption and more effective model selection for specific biological applications.
💻Code: https://t.co/xSVlnU7xWr
📜Paper: https://t.co/CzeruToqne
#StructuralBiology #AlphaFold #MachineLearning #ProteinFolding #DeepLearning #Bioinformatics #ComputationalBiology
Are you excited about microbial predation and have a background in microscopy/microfluidics? Please apply to join our team @EMBL! Retweet please
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Applications for the EMBL International PhD Programme are open! 👀
The programme offers fully funded PhD positions at EMBL’s six sites across Europe 🌍
Have a look at this opportunity to start your career in the life sciences here:
https://t.co/wlj1i614ey
A really cool step forward in data transparency and reproducible science publishing!
A publishing platform that places code front and centre
https://t.co/7rCZ3CX47Z
Interested in 3D printable lab equipment? Check out our designs! Every like, download, and make helps get the word out on these FREE & Open Source designs @printablescom by @ATinyGreenCell @PeterPietrzyk @TrevorRife and myself https://t.co/A7TGFunIL8