Skip to content
#edge computing Open access

Persistent Homology of a Complete Rhinovirus Capsid at Twelve Million Points

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis

Abstract

We compute the persistent homology in degrees zero and one of a complete virus capsid, taken directly from its cryo-electron microscopy density map with no subsampling. The input is the deposited map EMD-50844 of the empty capsid of rhinovirus A89, a 1000^3 grid at 0.413 Å per voxel, from which every voxel above a fixed density threshold contributes one point: n = 12,313,265 points in R^3. The Ordinal Locality Filtration was computed through 515 rounds on a single workstation (NVIDIA DGX Spark, CPU only) in 19.1 h with a peak memory of 99.9 GiB. The complex is connected from round 44. The first Betti number rises to 1.24 x 10^7, drains through a second maximum of 82,673, and settles at beta_1 = 173, which holds unchanged over the eighteen rounds k = 405-422, again over the eighteen rounds k = 432-449, and a third time over the eight rounds k = 478-485; the two eighteen-round runs are the widest stable plateaus of the computation. Besides the Betti numbers, the computation records the birth and death round of every loop that lives five rounds or more and writes out one representative cycle for every loop present at thirteen chosen rounds. Within each of the three runs of 173 the loops are the same 173 loops at every round. Between consecutive runs, 24 loops die and 24 are born, and 125 loops are present in all three. Sixty-seven of the loops present at round 405 are still present at round 515. An interactive three-dimensional rendering of the loops on the capsid accompanies the paper. At round 515 the complex has 2.68 x 10^9 edges and 2.18 x 10^11 triangles, against the 3.11 x 10^20 candidate triangles of a Vietoris-Rips complex on the same points. We are not aware of any previous persistent homology computation on a complete virus density map at this point count. Keywords: persistent homology, Betti numbers, barcodes, representative cycles, topological data analysis, cryo-electron microscopy, virus capsid

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.