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petergroth/FLOP

0
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22 stars·0 forks·Python·MIT·9 views

FLOP

This is the official code repository for the paper FLOP: Tasks for Fitness Landscapes Of Protein wildtypes by Groth et al. (2023, preprint at https://www.biorxiv.org/content/10.1101/2023.06.21.545880v1), which is currently under review.

Features

  • Protein Design Benchmarks - Tasks for evaluating fitness landscapes of protein wildtypes.

Star history

Star history chart for petergroth/flopStar history chart for petergroth/flop

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Open-source alternatives to FLOP

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    Figure: Comparison of OpenFold and AlphaFold2 predictions to the experimental structure of PDB 7KDX, chain B.

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  • astrazeneca/diffabxlAstraZeneca avatar

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  • blt2114/motifbenchblt2114 avatar

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    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…

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  • a4bio/proteininvbenchA4Bio avatar

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See all 20 alternatives to FLOP→

Frequently asked questions

What does petergroth/flop do?

This is the official code repository for the paper FLOP: Tasks for Fitness Landscapes Of Protein wildtypes by Groth et al. (2023, preprint at https://www.biorxiv.org/content/10.1101/2023.06.21.545880v1), which is currently under review.

What are the main features of petergroth/flop?

The main features of petergroth/flop are: Protein Design Benchmarks.

What are some open-source alternatives to petergroth/flop?

Open-source alternatives to petergroth/flop 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.