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Data and code for "Sequence clustering confounds AlphaFold2"

Each directory contains all data and code used to generate each figure.

CF-random structure alternative predictions were generated with ColabFold1.5.5 as follows:

-> KaiB proteins: --num-seeds 33 --num-models 5 --model-type alphafold2 --max-seq 1 --max-extra-seq 2
-> Mad2: --num-seeds 19 --num-models 5 --model-type alphafold2 --max-seq 8 --max-extra-seq 16
-> RfaH: --num-seeds 25 --num-models 5 --model-type alphafold2 --max-seq 64 --max-extra-seq 128

Programs were run on Linux and Mac OS 14.3.1.

Code for analysis written in python3 using the following libraries:

-> pandas
-> numpy
-> mdtraj
-> matplotlib
-> seaborn
-> biopython

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