MassiveFold significantly improves protein structure prediction efficiency through optimization and parallelization, reducing computation time from months to hours and supporting multiple hardware settings; combined with extended sampling and template-less dropout methods, MassiveFold outperforms AlphaFold3 in CASP15 target testing, generating more diverse structures with high confidence; MassiveFold is scalable to different research environments, solving the bottleneck of AlphaFold in terms of GPU resource requirements and operation efficiency, and advancing the progress of protein modeling.
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