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Dayhoff is an Atlas of both protein sequence data and generative language models — a centralized resource that brings together 3.34 billion protein sequences across 1.7 billion clusters of metagenomic and natural protein sequences (GigaRef), 46 million structure-based synthetic sequences…
The main features of microsoft/dayhoff are: Protein Design Benchmarks.
Open-source alternatives to microsoft/dayhoff include: aqlaboratory/openfold — Figure: Comparison of OpenFold and AlphaFold2 predictions to the experimental structure of PDB 7KDX, chain B. astrazeneca/diffabxl — The implementation of DiffAbXL benchmarked in the paper: Benchmarking Generative Models for Antibody Design. blt2114/motifbench — MotifBench is a standardized protein design benchmark for motif-scaffolding problems. The motif-scaffolding problem is… dumbgoos/afd-instruction. hewittlab/systematic-comparison-of-generative-ai-protein-models — Codebase for the paper "Systematic comparison of Generative AI-Protein Models" by Alexander J Barnett, Rajendra KC,… a4bio/proteininvbench — One can use the Colab to evaluate our latest models.
Figure: Comparison of OpenFold and AlphaFold2 predictions to the experimental structure of PDB 7KDX, chain B.
The implementation of DiffAbXL benchmarked in the paper: Benchmarking Generative Models for Antibody Design.
MotifBench is a standardized protein design benchmark for motif-scaffolding problems. The motif-scaffolding problem is a central task in computational protein design: Given the coordinates of atoms in a geometry chosen to confer a desired biochemical function (a motif), the goal is to identify…
One can use the Colab to evaluate our latest models.