2014
DOI: 10.1107/s1399004713028812
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Factors correlating with significant differences between X-ray structures of myoglobin

Abstract: Validation of general ideas about the origins of conformational differences in proteins is critical in order to arrive at meaningful functional insights. Here, principal component analysis (PCA) and distance difference matrices are used to validate some such ideas about the conformational differences between 291 myoglobin structures from sperm whale, horse and pig. Almost all of the horse and pig structures form compact PCA clusters with only minor coordinate differences and outliers that are easily explained.… Show more

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Cited by 12 publications
(17 citation statements)
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References 34 publications
(53 reference statements)
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“…The structure and position of the heme group are widely conserved, with a minor difference in the position of the attached carboxy groups in the model derived by NMR coloured light blue. additives can alter molecular interactions and could lead to different packing symmetries (Kondrashov et al, 2008;Rashin et al, 2014) despite the use of an identical precipitant solution.…”
Section: Tablementioning
confidence: 99%
“…The structure and position of the heme group are widely conserved, with a minor difference in the position of the attached carboxy groups in the model derived by NMR coloured light blue. additives can alter molecular interactions and could lead to different packing symmetries (Kondrashov et al, 2008;Rashin et al, 2014) despite the use of an identical precipitant solution.…”
Section: Tablementioning
confidence: 99%
“…We computed an alignment-free median residue−residue distance matrix within each trajectory. 22 , 23 , 24 The distance difference matrix quantifies the median pairwise proximity of residues to each other. Simulations were analyzed using custom scripts, the Bio3D R package and Visual Molecular Dynamics (VMD).…”
Section: Methodsmentioning
confidence: 99%
“…Trajectories were then evaluated using multiple metrics, including C-alpha Root Mean Squared Deviation (RMSD), Root Mean Squared Fluctuation (RMSF), Principal Component (PC) analysis, alignment-free distance difference matrix (Holm and Sander, 1993;Grant et al, 2006;Rashin et al, 2014), and distance monitors across the ligand binding site. We quantified variance of atomic C α -C α ( Figure 7A) distances using median absolute difference (MAD).…”
Section: Molecular Modelingmentioning
confidence: 99%