🛑🚨 SUPPLY CHAIN ALERT: Telnyx Python Package Compromised. 🔷Threat Actor: TeamPCP 🔷Target: telnyx (PyPI) 🔷Objective: Credential Exfiltration (API/SSH keys) TeamPCP continues to weaponize the software supply chain, targeting developer tools (like Trivy & LiteLLM) to hit thousands of downstream targets. Audit your CI/CD pipelines NOW. Full technical breakdown & IOCs: Darkfeed.io #CyberSecurity #SupplyChainAttack #TeamPCP #Telnyx #Python #PythonPackage

eRMSF: A Python Package for Ensemble-Based RMSF Analysis of Biomolecular Systems 1. eRMSF is a novel Python package that extends the traditional Root Mean Square Fluctuation (RMSF) analysis to diverse ensembles, not just molecular dynamics trajectories. This innovation allows researchers to compare flexibility patterns across ensembles generated by various methods, such as MD simulations, BioEmu predictions, and AlphaFold2 subsampling. 2. The package is designed to be user-friendly and fast, supporting a wide range of input formats including DCD, XTC, and PDB. It can be run as a standalone script or integrated into Jupyter notebooks, making it accessible for both high-throughput analysis and interactive exploration. 3. eRMSF introduces a segmentation strategy that divides ensembles into consecutive segments, computing RMSF independently for each. This approach provides a heatmap representation of fluctuations, highlighting structural heterogeneity more effectively than a single averaged RMSF curve. 4. The tool is implemented as a Python library within the MDAnalysis Toolkits (MDAKit) ecosystem, ensuring compatibility with existing MDAnalysis workflows. This integration allows for seamless analysis, visualization, and machine learning applications. 5. eRMSF has been tested on multiple ensembles of the Abl1 kinase and adenylate kinase (AdK), demonstrating its ability to identify dynamic hotspots and track conformational transitions. The results highlight the differences and similarities in flexibility patterns across ensembles generated by different methods. 6. The package is freely available on GitHub, allowing for easy access and potential customization by the broader scientific community. This openness is crucial for promoting reproducibility and collaboration in computational biophysics. 💻Code: github.com/pablo-arantes/erm… 📜Paper: doi.org/10.26434/chemrxiv-20… #eRMSF #PythonPackage #BiomolecularDynamics #EnsembleAnalysis #ComputationalBiology #MDAnalysis #OpenSource #ScientificComputing

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Experimenting with Ridge-maps (Joy-maps) using the ridge_map pythonpackage built on top of NASA's SRTM 𝐂𝐨𝐮𝐫𝐬𝐞: shop.janosov.com/products/in… 𝐒𝐨𝐮𝐫𝐜𝐞: github.com/ColCarroll/ridge_… github.com/ColCarroll/ridge_… #gis #datascience #maps

#PythonPackage This week @RolfSimoes launched a new #python package to streamline the process of uploading, versioning, and managing metadata on #Zenodo. You can find all the information here ⬇️⬇️ bit.ly/47p9ziy

Just released a new Python package - kscorer, for pinpointing the optimal number of clusters in your datasets. Check out the description on @TDataScience Precision clustering made simple! towardsdatascience.com/preci… #PythonPackage #DataScience #KmeansClusterin

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