Evidence map›Paper›PMID 41756916›Full record

ArticlebioRxiv : the preprint server for biology2026

AlphaFast: High-throughput AlphaFold 3 via GPU-accelerated MSA construction.

Benjamin C Perry, Jeonghyeon Kim, Philip A Romero

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Benjamin C PerryDepartment of Biomedical Engineering, Duke University, 101 Science Drive, Durham, 27708, NC, USA.
Jeonghyeon KimDepartment of Biomedical Engineering, Duke University, 101 Science Drive, Durham, 27708, NC, USA.
Philip A RomeroDepartment of Biomedical Engineering, Duke University, 101 Science Drive, Durham, 27708, NC, USA.ORCID 0000-0002-2586-7263

Funding

Self-driving laboratories for autonomous exploration of protein sequence spaceR01GM150929 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Philip Anthony Romero · 2023 to 2026
$1.4M
NIGMS NIH HHS R01 GM150929
6 · The paper itself

Abstract

AlphaFold 3 (AF3) enables accurate biomolecular modeling but is limited by slow, CPU-bound multiple sequence alignment (MSA) generation. We introduce AlphaFast, a drop-in framework that integrates GPU-accelerated MMseqs2 sequence search to remove this bottleneck. AlphaFast achieves a 68.5× speedup in MSA construction and a 22.8× reduction in end-to-end runtime on a single GPU, and delivers predictions in 8 seconds per input on four GPUs while maintaining indistinguishable structural accuracy. A serverless deployment enables structure prediction for as little as $0.035 per input. Code is available at https://github.com/RomeroLab/alphafast.

Indexed as

AlphaFold 3High-Performance ComputingMMseqs2-GPUStructural Bioinformatics

Identifiers

PMID41756916
PMCPMC12934602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.