Since many protein structure prediction models depend on algorithms like #MMseqs2GPU, it was integrated into AlphaFold2 (ColabFold) and saw a 22x speedup in end-to-end prediction times.
4/🧵

Imagine unlocking biological insights in minutes, not hours. #MMseqs2GPU means researchers can search for homologous sequences >170x to 720x faster.
2/🧵

Boost Alphafold2 Protein Structure Prediction with GPU-Accelerated MMseqs2 | NVIDIA Technical Blog The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA)…

Accelerated computing is powering a new era in protein structure prediction, now with speed-of-light multiple sequence alignments.

#MMseqs2GPU now makes #AlphaFold2 predictions faster and more efficient than ever.

1/🧵
developer.nvidia.com/blog/boost-a...

Boost Alphafold2 Protein Structure Prediction with GPU-Accelerated MMseqs2 | NVIDIA Technical Blog The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA)…

Accelerated computing is revolutionizing protein structure prediction, starting with lightning-fast multiple sequence alignments.

Read more about #AlphaFold and #MMseqs2GPU:
developer.nvidia.com/blog/boost-a...