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Biomedical subjects

Leonor Saiz

Publications and source records attributed to Leonor Saiz.

10 recordsLinked to original sources

Partitioning of anesthetics into a lipid bilayer and their interaction with membrane-bound peptide bundles.

Molecular dynamics simulations have been performed to investigate the partitioning of the volatile anesthetic halothane from an aqueous phase into a coexisting hydrated bilayer, composed of 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) lipids, with embedded alpha-helical peptide bundles based on the membrane-bound portions of the alpha- and delta-subunits, respectively, of nicotinic acetylcholine receptor. In the molecular dynamics simulations halothane molecules spontaneously partitioned into the DOPC bilayer and then preferentially occupied regions close to lipid headgroups. A single halothane molecule was observed to bind to tyrosine (Tyr-277) residue in the alpha-subunit, an experimentally identified specific binding site. The binding of halothane attenuated the local loop dynamics of alpha-subunit and significantly influenced global concerted motions suggesting anesthetic action in modulating protein function. Steered molecular dynamics calculations on a single halothane molecule partitioned into a DOPC lipid bilayer were performed to probe the free energy profile of halothane across the lipid-water interface and rationalize the observed spontaneous partitioning. Partitioned halothane molecules affect the hydrocarbon chains of the DOPC lipid, by lowering of the hydrocarbon tilt angles. The anesthetic molecules also caused a decrease in the number of peptide-lipid contacts. The observed local and global effects of anesthetic binding on protein motions demonstrated in this study may underlie the mechanism of action of anesthetics at a molecular level.

Anesthetics, Inhalation↗

Multiprotein DNA looping.

DNA looping plays a fundamental role in a wide variety of biological processes, providing the backbone for long range interactions on DNA. Here we develop the first model for DNA looping by an arbitrarily large number of proteins and solve it analytically in the case of identical binding. We uncover a switchlike transition between looped and unlooped phases and identify the key parameters that control this transition. Our results establish the basis for the quantitative understanding of fundamental cellular processes like DNA recombination, gene silencing, and telomere maintenance.

Binding Sites↗

DNA looping: the consequences and its control.

The formation of DNA loops by proteins and protein complexes is ubiquitous to many fundamental cellular processes, including transcription, recombination and replication. Recently, advances have been made in understanding the properties of DNA looping in its natural context and how they propagate to cellular behavior through gene regulation. The result of connecting the molecular properties of DNA looping with cellular physiology measurements indicates that looping of DNA in vivo is much more complex and easier than predicted from current models, and reveals a wealth of previously unappreciated details.

Cell Physiological Phenomena↗

Stochastic dynamics of macromolecular-assembly networks.

The formation and regulation of macromolecular complexes provides the backbone of most cellular processes, including gene regulation and signal transduction. The inherent complexity of assembling macromolecular structures makes current computational methods strongly limited for understanding how the physical interactions between cellular components give rise to systemic properties of cells. Here, we present a stochastic approach to study the dynamics of networks formed by macromolecular complexes in terms of the molecular interactions of their components. Exploiting key thermodynamic concepts, this approach makes it possible to both estimate reaction rates and incorporate the resulting assembly dynamics into the stochastic kinetics of cellular networks. As prototype systems, we consider the lac operon and phage lambda induction switches, which rely on the formation of DNA loops by proteins and on the integration of these protein-DNA complexes into intracellular networks. This cross-scale approach offers an effective starting point to move forward from network diagrams, such as those of protein-protein and DNA-protein interaction networks, to the actual dynamics of cellular processes.

Computational Biology↗

Inferring the in vivo looping properties of DNA.

The free energy of looping DNA by proteins and protein complexes determines to what extent distal DNA sites can affect each other. We inferred its in vivo value through a combined computational-experimental approach for different lengths of the loop and found that, in addition to the intrinsic periodicity of the DNA double helix, the free energy has an oscillatory component of about half the helical period. Moreover, the oscillations have such an amplitude that the effects of regulatory molecules become strongly dependent on their precise DNA positioning and yet easily tunable by their cooperative interactions. These unexpected results can confer to the physical properties of DNA a more prominent role at shaping the properties of gene regulation than previously thought.

DNA↗

DNA looping in gene regulation: from the assembly of macromolecular complexes to the control of transcriptional noise.

The formation of DNA loops by the binding of proteins and protein complexes at distal DNA sites plays a central role in many cellular processes, such as transcription, recombination and replication. Important thermodynamic concepts underlie the assembly of macromolecular complexes on looped DNA. The effects that this process has on the properties of gene regulation extend beyond the traditional view of DNA looping as a mechanism to increase the affinity of regulatory molecules for their cognate sites. Recent developments indicate that DNA looping can also lead to the suppression of cell-to-cell variability, the control of transcriptional noise, and the activation of cooperative interactions on demand.

Animals↗

Concentration effects of volatile anesthetics on the properties of model membranes: a coarse-grain approach.

To gain insights into the molecular level mechanism of drug action at the membrane site, we have carried out extensive molecular dynamics simulations of a model membrane in the presence of a volatile anesthetic using a coarse-grain model. Six different anesthetic (halothane)/lipid (dimyristoylphosphatidylcholine) ratios have been investigated, going beyond the low doses typical of medical applications. The volatile anesthetics were introduced into a preassembled fully hydrated 512-molecule lipid bilayer and each of the molecular dynamics simulations were carried out at ambient conditions, using the NPT ensemble. The area per lipid increases monotonically with the halothane concentration and the lamellar spacing decreases, whereas the lipid bilayer thickness shows no appreciable differences and only a slight increase upon addition of halothane. The density profiles of the anesthetic molecules display a bimodal distribution along the membrane normal with maxima located close to the lipid-water interface region. We have studied how halothane molecules fluctuate between the two maxima of the bimodal distribution and we observed a different mechanism at low and high anesthetic concentrations. Through the investigation of the reorientational motions of the lipid tails, we found that the anesthetic molecules increase the segmental order of the lipids close to the membrane surface.

Anesthetics, Inhalation↗

The transmembrane domain of the acetylcholine receptor: insights from simulations on synthetic peptide models.

We have studied the structure and properties of a bundle of alpha-helical peptides embedded in a 1,2-dimyristoyl-3-phosphatidylcholine phospholipid bilayer by molecular dynamics simulations. The bundle of five transmembrane deltaM2 segments constitutes the model for the pore region of the nicotinic acetylcholine receptor, which is the neurotransmitter-gated ion-channel responsible for the fast propagation of electrical signals between cells at the nerve-muscle synapse. The deltaM2 segments were shown to oligomerize in biomembranes resulting in ion-channel activity with characteristics similar to the native protein, and the structure of the isolated peptides was studied in 1,2-dimyristoyl-3-phosphatidylcholine bilayers and micelles by NMR experiments (Opella, S. J., et al. 1999. Nat. Struct. Biol. 6:374-379). Our analyses indicate that the structure, helix tilt, and the overall shape of the channel are in good agreement with the NMR experiments and the proposed model for the channel, which we show is formed by rings of functional residues. The studied geometry resulted in a closed pore state, where the channel is partially dehydrated at the hydrophobic extracellular half and the extracellular mouth of the channel blocked by the hydrocarbon chains of Arg+ residues. The arginine amino acids form intermolecular salt-bridges with the C-terminus, which contribute as well to the bundle stabilization.

Binding Sites↗

Computer simulation studies of model biological membranes.

This Account is focused on computer simulation studies of model biological membrane systems with potential applications in biomedical research. In the past decade, classical molecular dynamics has provided novel insights into the properties of model biomembrane systems, including the nature of the DNA-lipid interactions, the effect of pore-forming transmembrane peptides on the lipid environment, and the partitioning of volatile anesthetic molecules. Such simulations, employing full atomic detail, are typically restricted to systems of dimensions less than approximately 10 nm. Simplified models of the coarse-grain type have been intended to bridge the gap between full atomistic detail and the mesoscopic (micron) regime. The use of such models is illustrated with the example of anesthetics in a phospholipid bilayer.

Anesthetics↗

Towards an understanding of complex biological membranes from atomistic molecular dynamics simulations.

Computer simulation has emerged as a powerful tool for studying the structural and functional properties of complex biological membranes. In the last few years, the use of recently developed simulation methodologies and current generation force fields has permitted novel applications of molecular dynamics simulations, which have enhanced our understanding of the different physical processes governing biomembrane structure and dynamics. This review focuses on frontier areas of research with important biomedical applications. We have paid special attention to polyunsaturated lipids, membrane proteins and ion channels, surfactant additives in membranes, and lipid-DNA gene transfer complexes.

Animals↗