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

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Authors: Benjamin Perry, Jeonghyeon Kim, Philip A. Romero
Cited by: 1
References: 18

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.

Fields of Study & Subjects

Genomics and Phylogenetic Studies Protein Structure and Dynamics Genomics and Chromatin Dynamics

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
18 February 2026
Language
EN
Document type
Preprint