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What geometrically constrained folding models can tell us about real-world protein contact maps

2022/05/18 by Nora Molkenthin, Jonna Jasmin Güven, Molkenthin, Nora +5
Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · Materials Science · Mathematics · #Advanced Proteomics Techniques and Applications #Algorithm #Artificial intelligence #Biochemistry #Biological Physics (physics.bio-ph) #Biomolecules (q-bio.BM) #Chemistry #Computer science #Engineering #Enzyme Structure and Function #FOS: Biological sciences #FOS: Physical sciences #Folding (DSP implementation) #Force field (fiction) #Geometry #Mathematics #Protein Data Bank #Protein Data Bank (RCSB PDB) #Protein Structure and Dynamics #Protein folding #Protein structure #Protein structure prediction #Scaling

paper · pdf · doi:10.48550/arxiv.2205.09074

openalex publication_date 2022/05/18 · openalex created_date 2022/05/22 · openalex updated_date 2026/07/28

Abstract

The mechanisms by which a protein's 3D structure can be determined based on its amino acid sequence have long been one of the key mysteries of biophysics. Often simplistic models, such as those derived from geometric constraints, capture bulk real-world 3D protein-protein properties well. One approach is using protein contact maps to better understand proteins' properties. Here, we investigate the emergent behaviour of contact maps for different geometrically constrained models and real-world protein systems. We derive an analytical approximation for the distribution of model amino acid distances, s, by means of a mean-field approach. This approximation is then validated for simulations using a 2D and 3D random interaction model, as well as from contact maps of real-world protein data. Using data from the RCSB Protein Data Bank (PDB) and AlphaFold~2 database, the analytical approximation is fitted to protein chain lengths of L≈100, L≈200, and L≈300. While a universal scaling behaviour for protein chains of different lengths could not be deduced, we present evidence that the amino acid distance distributions can be attributed to geometric constraints of protein chains in bulk and amino acid sequences only play a secondary role.

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