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Punnathanam, S. N.

Publications and source records attributed to Punnathanam, S. N..

2 recordsLinked to original sources

Cholesterol catalyzes unfolding in membrane inserted motifs of the pore forming protein cytolysin A

Plasma membrane induced protein folding and conformational transitions play a central role in cellular homeostasis. Several transmembrane proteins are folded in the complex lipid milieu to acquire a specific structure and function. Bacterial pore forming toxins (PFTs) are proteins expressed by a large class of pathogenic bacteria that exploit the plasma membrane environment to efficiently undergo secondary structure changes, oligomerize and form transmembrane pores. Unregulated pore formation causes ion imbalance leading to cell death and infection. Determining the free energy landscape of these membrane driven transitions remains a challenging problem. Although cholesterol recognition is required for lytic activity of several proteins in the PFT family of toxins, the regulatory role of cholesterol for the -PFT, cytolysin A expressed by E. coli is less understood. In a recent free energy computation, we have shown that the {beta}-tongue, a critical membrane inserted motif of the ClyA toxin, has an on-pathway partially unfolded intermediate that refolds into the helix-turn-helix motif of the pore state.1 To understand the molecular role played by cholesterol, we have carried out string method based computations in membranes devoid of cholesterol which reveals an increase of[~] 30 times in the free energy barrier for the loss of {beta}-sheet secondary structure when compared with membranes containing cholesterol. Specifically the tyrosine-cholesterol interaction was found to be critical to stabilizing the unfolded intermediate. In the absence of cholesterol the membrane was found to undergo large curvature deformations in both leaflets of the membrane accompanied by bilayer thinning. Our study with the -toxin, ClyA illustrates that cholesterol is critical to catalyzing and stabilizing the unfolded state of the {beta}-tongue in the membrane, opening up fresh insights into cholesterol assisted unfolding of membrane proteins. SignificanceCholesterol, an integral part of mammalian cell membranes, is necessary for activity of pathogenic toxins. Our understanding of the thermodynamic and molecular underpinnings of cholesterol-protein interactions during different stages of toxin activity is unclear. Using path based all atom molecular dynamics simulations, we illustrate lowered free energy barriers and enhanced stability of the membrane unfolded intermediate of an -pore forming toxin (PFT) ClyA providing insights into the increased pore formation kinetics with cholesterol. Thus, membrane cholesterol generally believed to play a passive receptor function for PFT activity is involved in a more complex regulatory role in assisting secondary structure transitions critical to PFT lytic activity. Our findings could aid in drug development strategies for mitigating PFT mediated bacterial infections.

biophysics↗

Computing the mechanism of α-helix to β-sheet transition in proteins using the finitetemperature string method

The transition of an -helix to a {beta}-sheet in proteins is among the most complex conformational changes seen in bio-molecular systems. Currently, it is difficult to study such protein conformational changes in a direct molecular dynamics simulation. This limitation is typically overcome using an indirect approach wherein one computes the free energy landscape associated with the transition. Computation of free energy landscapes, however, requires a suitable set of collective variables that describe the transition. In this work we demonstrate the use of path collective variables [J. Chem. Phys. 126, 054103 (2007)] and combine it with the finite temperature string (FTS) method [J. Phys. Chem. B 109, 6688-6693 (2005)] to determine the molecular mechanisms involved during the structural transition of the mini G-protein from an -helix to a {beta}-hairpin. The transition from the -helix proceeds via unfolding of the terminal residues, giving rise to a {beta}-turn unfolded intermediate to eventually form the {beta}-hairpin. Our proposed algorithm uses umbrella sampling simulations to simulate images along the string and the weighted histogram analysis to compute the free energy along the computed transition path. This work demonstrates that the string method in combination with path collective variables can be exploited to study complex protein conformational changes such as a complete change in the secondary structure.

biophysics↗