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Article . 2022
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Mega-scale experimental analysis of protein folding stability in biology and protein design

Authors: Tsuboyama, Kotaro; Dauparas, Justas; Chen, Jonathan; Mangan, Niall M.; Ovchinnikov, Sergey; Rocklin, Gabriel J.;

Mega-scale experimental analysis of protein folding stability in biology and protein design

Abstract

Datasets and scripts for BioRixv manuscript titled "Mega-scale experimental analysis of protein folding stability in biology and protein design" URL: https://doi.org/10.1101/2022.12.06.519132 *** IMPORTANT! Please register your use of these data so that we can continue to release new useful datasets!! This will take 10 seconds!! *** Processed_K50_dG_datasets.zip K50_dG_Dataset1_Dataset2.csv K50_Dataset3.csv Single_DMS_list.csv Double_DMS_list.csv Triple_DMS_list.csv Heat_maps_single_DMS.pdf Heat_maps_double_DMS.pdf Raw_NGS_count_tables.zip NGS_count_lib1.csv NGS_count_lib2.csv NGS_count_lib3.csv NGS_count_lib4.csv K50_dG_tables.zip K50_dG_lib1.csv K50_dG_lib2.csv K50_dG_lib3.csv K50_dG_lib4.csv Data_tables_for_figs.zip dG_extdG_data_Fig1.csv dG_site_feature_Fig3.csv dG_for_double_mutants_Fig4.csv dG_non_redundant_natural_Fig5.csv dG_GEMME_non_redundant_natural_Fig6.csv Pipeline_qPCR_data.zip Raw_qPCR_data_FigS1.csv Process_qPCR_data.ipynb Pipeline_K50_dG.zip STEP1_module.ipynb STEP1_run.ipynb STEP2_run.ipynb STEP3_run.ipynb STEP4_module.ipynb STEP4_run.ipynb STEP5_module.ipynb STEP5_run.ipynb Raw_NGS_counts_overlapped_seqs_STEP1_lib1_lib2.csv Raw_NGS_counts_overlapped_seqs_STEP1_lib2_lib3.csv Raw_NGS_counts_overlapped_seqs_STEP1_lib1_lib4.csv Raw_NGS_counts_overlapped_seqs_STEP1_lib2_lib4.csv Raw_NGS_counts_overlapped_seqs_STEP1_lib3_lib4.csv K50_scrambles_for_STEP3.csv STEP1_out_protease_concentration_trypsin STEP1_out_protease_concentration_chymotrypsin STEP3_unfolded_model_params Pipeline_figure_model.zip Burial_side_chain_contact_Fig3_Fig6.ipynb Additive_model_Fig4.ipynb Classification_model_Fig5.ipynb AlphaFold_model_PDBs.zip Blueprints_for_EEHH.zip eehh_EA_GBB_AGBB.bp eehh_GG_GBB_AGBB.bp eehh_XX_XXX_XXXX.bp

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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