SBGrid Newsletter: April 2026

Dear Consortium Members and Affiliates,

 

Happy spring! Included in our April update we have a reminder about our upcoming PyMOL webinar, a link to watch our latest webinar on ScipionTomo, a software push with twelve updates and four new titles, four new members to welcome, and two member publication highlights. 

 

Join our software webinar on May 12th to hear from Jarrett Johnson, Senior Developer from Schrödinger, on Upcoming improvements to visualization and CryoEM support in PyMOL. If you missed our March webinar with Jose Luis Vilas on Image processing made simple with ScipionTomo, you can catch up with the recorded version on YouTube: https://www.youtube.com/watch?v=uE8ej9ZO-M8  

 

To receive email reminders about upcoming webinars, please be sure to register for the series! Registration here: https://sbgrid.org/webinars/#register

Upcoming SBGrid Webinars

May 12: Jarrett Johnson - Upcoming improvements to visualization and CryoEM support in PyMOL

June 9: Mart Last -  Ais and Pom

Webinar registration and details

SBGrid webinars are hosted with partial support from the NIH R25 Continuing Education for Structural Biology Mentors #GM151273, in collaboration with Co-PI Jamaine Davis of Meharry Medical College.

This month's software push includes updates to twelve titles -AlphaPulldown, Avogadro, BioEmu, ChemEx, ColabFold, CryoAtom, Foldtree, OpenFold3, PyMOL, Relion, Scipion, and TomoNet --- along with four new applications: AF3Complex, af_analysis, AlphaJudge, and CryoBoltz.

 

See Software Changes below for complete details.

 

Four new members joined in the month of April: Oluwatoyin Asojo from the Dartmouth Geisel School of Medicine, Kaavya Krishna Kumar from Weill Cornell Medicine, Harvard Center for Biological Imaging led by Doug Richardson at Harvard University, and Eric Sundberg from Emory University School of Medicine.

 

Welcome to our newest members!

Community Announcements

Upcoming events from our partners at Instruc-ERIC

Calorimetric and Spectroscopic Characterization of Biomolecules

September 7-11, 2026 | CEITEC Brno, Czech Republic

Organized in collaboration with the Biomolecular Interactions and Crystallography Core Facility at The Central European Institute of Technology

Register here: https://instruct-eric.org/events/instruct-course-on-calorimetric-and-spectroscopic-characterization-of-biomolecules

 

Instruct-ERIC Webinar Series: Structure Meets Function 47

Tuesday, May 19, 2026

  • Casper Berger from Rosalind Franklin Institute on Adaptive Milling: imaging feedback-driven automated lamella fabrication for in situ structural biology
  • Chiara Marabelli from Università di Pavia on Establishing a Vitrification Protocol of Large Ventricular Cells from Murine Models for Volume Imaging

Register here: https://instruct-eric.org/events/structure-meets-function-47/

Member Publication Highlights

Over 100 new member publications appeared in journals this month. You can find a complete listing on our website, along with a couple of notable highlights below:

From our student desk

Student contributors highlight member publications with a focus on science education and demonstrating how structural biology and preclinical science connect to medicine. 

 

Fisk University student Cariuna Ellison's highlight features an eLife publication from Jochen Zimmer's group at University of Virginia School of Medicine that describes the use of Cryo-EM to reveal how CvHAS utilizes a two-step mechanism to navigate the balance between substrate specificity and degeneracy. [Learn more.]

 

- Meharry Medical College student Mudia Ikoba highlights a publication in the Journal of Cell Biology from SBGrid member Antonia Roll-Mecak and colleagues in which the authors analyze the structure of the RPGR-TTLL5 complex to shed light on the pathomechanism of retititis pigmentosa. [Learn more.]

 

Deposit your experimental datasets

If you're currently preparing a manuscript, please remember that while you're making the PDB record deposit and publication submission, you can also preserve your primary experimental datasets with deposits to the SBGrid Data Bank:  https://data.sbgrid.org/

Cite SBGrid

SBGrid operations are primarily funded with member fees and grants, so we are grateful when you can acknowledge SBGrid in manuscripts, preprints, and related work where appropriate. We recommend the following language for inclusion in the methods section of your publications that report results obtained with SBGrid supported software:

Software: Computational analyses were performed using the SBGrid software environment, which provides curated, version-controlled structural biology applications and reproducible execution environments across platforms (Herre et al., 2024).


Software and computational environment: All computational analyses were carried out using the SBGrid software environment, which provides curated, version-controlled access to structural biology software and manages dependencies to support reproducible research. Software execution was supported through the SBGrid Capsules framework, which standardizes application environments and workflows across platforms, as described in Herre et al. (2024).

 

Reference: Herre C, Ho A, Eisenbraun B, et al. (2024). Introduction of the Capsules environment to support further growth of the SBGrid structural biology software collection. Acta Crystallographica D, 80. 

Link to article:https://journals.iucr.org/d/issues/2024/06/00/gm5107/index.html

 

SBGrid logo for use on the acknowledgements slide of presentations.

 

SBGrid Acknowledgements

SBGrid's eLife and Acta Crystallographica D publications received 3 new citations since our last reporting, from these SBGrid members and contributing developers:

 

Dirk Slotboom from University of Groningen in Nature Communications: Shared structural mechanisms of alternating access between the secondary peptide transporter SbmA and ABC transporters.

https://www.nature.com/articles/s41467-026-71633-3

 

Antonina Roll-Mecak from the National Institutes of Health in Nature Structural and Molecular Biology: Microtubules in the axon are GDP bound but adopt a stable GTP-like expanded state.

https://www.nature.com/articles/s41594-026-01787-7

and 

Journal of Cell Biology: Insights into retinal disease and non-tubulin glutamylation from a RPGR–TTLL5 complex structure.

https://rupress.org/jcb/article/225/6/e202508020/281721

Software Changes

New Software

AF3Complex 1.2.1 is a model equipped with the same improvements as AF2Complex, along with a novel method for excluding ligands, built on AlphaFold 3.

https://github.com/Jfeldman34/AF3Complex/tree/main 

 

af_analysis 0.1.5 is a Python package for analysis of AlphaFold protein structure predictions from AlphaFold 2/3, ColabFold, AlphaFold-Multimer, AlphaPulldown, Boltz1, Chai-1, and MassiveFold. It imports prediction outputs into pandas DataFrames, computes structural quality metrics including pDockQ, pDockQ2, LIS, ipSAE, and ipTM-derived measures, and supports visualization, clustering, and model ranking to compare predicted conformations and select high-quality models. 

https://github.com/samuelmurail/af_analysis/

 

AlphaJudge 0.3.0 is a command-line pipeline for evaluating AlphaFold2 and AlphaFold3 protein complex predictions by combining model confidence metrics such as ipTM, pTM, pLDDT, and PAE with fast interface descriptors including contacts, hydrogen bonds, salt bridges, buried area, solvation proxy, and shape complementarity. It automatically detects AF2 versus AF3 run directories, computes per-model and per-interface scores including pDockQ, pDockQ2, mpDockQ, ipSAE, and LIS, and writes unified CSV outputs for ranking, validation, and downstream machine-learning or benchmarking workflows.

https://github.com/KosinskiLab/AlphaJudge

 

CryoBoltz 061be37 is a method for fitting atomic structures into cryo-EM density maps of dynamic proteins. It is built on top of Boltz-1, a structure prediction model for biomolecular complexes. Through a multi-stage guidance mechanism that modifies the Boltz diffusion trajectory at inference time, CryoBoltz recovers diverse conformations from input cryo-EM data.

https://cryoboltz.cs.princeton.edu/ 

Updated Software

AlphaPulldown 2.4.0 includes fixes across the multimer workflow with mmseqs2 TrueMultimer custom template support, reuse of existing monomer features in the default TrueMultimer mode, and skip-MSA feature generation in the AF2/mmseqs2/AF3 data pipeline. It also corrects AF3 trimer pairing logic when running the AF3 backend with AF2-derived features and resolves multiple reported issues affecting robustness and feature generation.

https://github.com/KosinskiLab/AlphaPulldown/releases/tag/2.4.0

 

Avogadro 2.0.0 features a complete rewrite that improves speed and stability, allowing the software to handle systems with hundreds of thousands of atoms using a modern 3D rendering engine. Key additions include a flexible layer system for organizing molecular components, a Template tool for rapidly building complex geometries, and advanced visualization options like real-time shadows, volumetric orbitals, and non-bonded interaction analysis. The update also introduces a powerful Python-based plugin architecture and Jupyter integration, making it much easier to extend the software's capabilities and interface with external computational chemistry programs.

https://github.com/OpenChemistry/openchemistry/releases/tag/2.0.0

 

BioEmu 1.3.0 includes improved structure-generation and refinement workflows, notably steering to reduce chain breaks and clashes and inlining ColabFold and AlphaFold2 into BioEmu. The release also updates OpenMM, removes the disulfide potential, writes the physics-filtered frame to topology.pdb, and makes testing faster and more informative through accelerated md-relaxation tests and pytest duration reporting.

https://github.com/microsoft/bioemu/releases/tag/v.1.3.0

 

BioEmu 1.3.1 is a minor bug fix update.

https://github.com/microsoft/bioemu/releases/tag/v1.3.1

 

ChemEx 2026.04.0 includes composable residue-specific kinetic-model suffixes such as .rs with .mf and .tc, broader residue-specific parameter naming, and a refactored chemex.nmr architecture that separates engine, pulse, B1, detection, effective-field, magnetization, and tensor components. It also fixes output-file naming collisions across datasets, strengthens parsing and validation for constraints, grids, TOML configs, B1 inhomogeneity, and shift/R1rho calculations, and expands regression coverage for NMR engine behavior and residue-specific models.

https://github.com/gbouvignies/ChemEx/releases/tag/v2026.04.0

 

ColabFold 1.6.0 includes AlphaFold3-compatible JSON export, a redesigned MSA pairing pipeline for complex predictions, warm-starting from initial structures, GPU-accelerated MMseqs2 search, and expanded control over templates, logging, and output generation. The release also improves deployment and performance with lighter colabfold_search dependencies, faster MSA deserialization, updated Docker support, AWS S3 database downloads, a switch to PDB100 template search, and ARM64 pip installability. Additional changes add actifpTM scoring, optional faster JSON serialization, and per-entry custom templates in CSV input, alongside fixes for CSV parsing, database download retries, query unpacking, multimer template databases, and protein-sequence handling.

https://github.com/sokrypton/ColabFold/releases/tag/v1.6.0

 

ColabFold 1.6.1 fixes some minor bugs.

https://github.com/sokrypton/ColabFold/releases/tag/v1.6.1

 

CryoAtom 2.1.0 includes multi-GPU inference support, enabling inference workflows to scale across multiple GPUs. This release also fixes hmm_search cases that could yield empty identifications, improves robustness to certain FASTA input formats, and increases RU-Net iterations from 1 to 3.

https://github.com/YangLab-SDU/CryoAtom/releases/tag/v2.1.0

 

fold_tree 1.1.0 includes a refactor of v1.0.0 that adds the foldtree script as a black-box entry point for running the Snakemake pipeline and restructures the project for installation. This release also adds a Python wrapper for the main workflow, splits and minimizes conda dependencies, and introduces a configurable `--conda-prefix` with Snakemake environments defaulting to `~/.foldtree` to avoid redundant environment recreation across working directories.

https://github.com/DessimozLab/fold_tree/releases/tag/v1.1.0

 

OpenFold3 0.4.1 includes native AMD ROCm inference via Triton kernels, extending inference support to AMD hardware. It also fixes arginine naming, chain-template alignment labeling, symmetric-chain permutation alignment with unresolved residues, checkpoint configuration, multi-user /tmp permission errors, and invalid JSON output, while adding cif.gz structure support and improved environment and contribution documentation.

https://github.com/aqlaboratory/openfold-3/releases

 

PyMOL 3.1.8 is the latest version of the popular molecular visualization system, offering improved rendering, animations, and full Python 3.10 integration. This release features a refined interface with enhanced mouse controls, making rotation, zooming, and clipping more intuitive and advanced visualization tools for protein surfaces, molecular dynamics trajectories, and high-quality, publication-ready graphics across all major platforms. 

https://www.pymol.org/

 

Relion 5.1.0-beta implements new functionality for amyloid filaments. A new auto-picker that specifically detects the 4.75A signal in the Fourier transform of micrographs, amyprep and amyproc Schemes for the automated pre-processing of amyloid data sets, and a retrained version of the Blush regularisation denoising network that is specific for amyloid filaments. This release also implements minor updates to the tomography pipeline, including a wrapper to AreTomo2's tomogram reconstruction algorithm, an option to extract real 3D subtomograms (this goes well with the AreTomo2 reconstructions) and use these for 3D classifications/refinements.

https://github.com/3dem/relion/releases

 

Scipion 3.11.6 updates the scipion-em (core) to 3.11.0, which includes new protocols to crop and resize volumes, filter by normal, and break symmetry. New image readers include gain and dark files from Gatan camera (.dm3, .dm4) and .em files (based on the standard TOM toolbox header structure, e.g. Dynamo). This version updates the CryosSPARC plugin configuration in Scipion and the latest release versions for Tomo (core), Topaz, Imod, Dynamo, Gapstop, Aretomo and MotionCorr plugins, which mainly consists on bugfixing.

 

TomoNet 1.06 is the new default version. No release notes are available.

https://github.com/logicvay2010/TomoNet/releases/tag/V1.06

 

Please note that not all software applications are available to every SBGrid member type. If you see an application that you would like to use, but is not included in your software tree, please contact us to find out what options are available for access.

 

Learn more about SBGrid

- Consortium website: https://sbgrid.org

- Supported software: https://sbgrid.org/software/

- Report software bugs: sbgrid.org/bugs

 

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