2020
DOI: 10.1016/j.str.2020.03.014
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Distinct Allosteric Networks Underlie Mechanistic Speciation of ABC Transporters

Abstract: Highlights d A method is developed to study allosteric communications in ABC transporters d The outcome of engineered mutations is computationally predicted d Experiments show that the predictions are highly accurate d Different allosteric pathways give rise to different transport mechanisms

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Cited by 25 publications
(39 citation statements)
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“…These results strongly supported the idea that maltose‐bound MalE stimulates the ATPase activity of the transporter by promoting MalK closure [12]. Consistent with this, a recent allosteric study suggested that MalE controls the conformational changes in MalEFGK 2 such that the dynamics of the MalE‐docking sites precedes, and that of the ATP sites follow [9]. Finally, EPR spectroscopy suggested that MalK was semi‐open in the ADP‐bound post‐translocation state [12,35,36].…”
Section: Crystal Structures Of Malefgk2: Shaping the View Of The Transupporting
confidence: 75%
“…These results strongly supported the idea that maltose‐bound MalE stimulates the ATPase activity of the transporter by promoting MalK closure [12]. Consistent with this, a recent allosteric study suggested that MalE controls the conformational changes in MalEFGK 2 such that the dynamics of the MalE‐docking sites precedes, and that of the ATP sites follow [9]. Finally, EPR spectroscopy suggested that MalK was semi‐open in the ADP‐bound post‐translocation state [12,35,36].…”
Section: Crystal Structures Of Malefgk2: Shaping the View Of The Transupporting
confidence: 75%
“…Clearly, the existence of a pathway is a necessary but not sufficient condition for causality. The study of the effect of suppression or delay of the motion of one region on the motion of the other, [49] and/or the analysis of the energetics of allosteric signaling [50][51][52] have been recently proposed to address causality of the correlation.…”
Section: Discussionmentioning
confidence: 99%
“…The Gaussian Network Model (GNM) is the most minimalist isotropic elastic network model of Cα atoms with harmonic interactions for the dynamics of proteins and their complexes 44, 45 . GNM-based TE calculations 46, 47 reveal causal interrelations of residues in a given structural topology by considering a certain time delay τ between residue fluctuations ΔR i (t) of residue i at time t and ΔR j (t+ τ ) of residue j at time t+ τ . Using these fluctuations, TE(i,j) ( τ ) provides an estimate for the direction of information flow from residue i to residue j in time delay τ ; i.e.…”
Section: Methodsmentioning
confidence: 99%
“…GNM decomposes the motions into a spectrum of dynamic modes, from global/slow (low frequency) modes to local/fast (high frequency) modes. TE values in Equation 1 could be calculated using all or a subgroup of dynamic modes 47 . As global modes of motion are highly relevant for functional dynamics 48 , here we considered the slowest end of the dynamic mode spectrum with and without the slowest mode; average ten slowest and average two to ten slowest dynamic modes.…”
Section: Methodsmentioning
confidence: 99%