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Data sources: ZENODO
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Energetic Frustration Analysis Strengthens Computational Identification of Rheostat Positions

Research datakeyboard_double_arrow_right Dataset Under curationPublisher:Zenodo
Authors: Jagriti, Chander;

doi: 10.5281/zenodo.20572385

Energetic Frustration Analysis Strengthens Computational Identification of Rheostat Positions

Abstract

Raw data supporting the manuscript 'Energetic Frustration Analysis Strengthens Computational Identification of Rheostat Positions.' Includes the DDAH2 multiple sequence alignment (1,506 sequences, 743 unique organisms), Frustratometer 2 single-residue frustration outputs for wild-type D254 and five variants (D254G, D254S, D254R, D254F, D254L), and EVcouplings co-evolutionary coupling data for DDAH2.

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