Food perception with age and its relationship to pleasantness

Differences between elderly subjects (n = 46, 61-86 years) and young subjects (n = 36, 18-25 years) in food perception and food liking were investigated. Intensity and liking ratings were assessed for custard dessert, in which flavor enrichment, textural change, and irritant addition were incorporated as strategies to compensate for sensory losses with increasing age. The sensory acuity (taste, olfaction, irritation, chewing efficiency) of both young and elderly subjects was measured with the help of different sensitivity tests. The elderly perceived the custards differently from the young, mainly as less intense in flavor (cherry/vanilla) and less intense in creaminess/swallowing effort. Several of the observed interaction effects were different for the elderly and the young. The majority of these differences manifested as lower intensity slopes for the elderly. Losses in sensitivity to taste and to olfactory and trigeminal stimuli as well as a reduced chewing efficiency were observed on average for the elderly compared with the young. Furthermore, subgroups of the elderly were observed in which the compensatory strategies flavor enrichment, textural change, and irritant addition led to an increase in food liking. However, these subgroups did not differ in their sensory acuity. The present study does not support the assumption that age-associated changes in food perception-caused by losses in sensory acuity-inevitably reduce the food liking of the elderly.     

NHERFs, NEP, MAGUKs, and more: interactions that regulate PTEN

This year marks the 10th anniversary of the discovery of the PTEN/MMAC1/TEP1 tumor suppressor gene (hereafter referred to as PTEN), one of the most commonly mutated genes in cancer. PTEN encodes a lipid phosphatase that dephosphorylates phosphoinositide-3,4,5-triphosphate (PIP(3)), thereby counteracting mitogenic signaling pathways driven by phosphoinositol-3-kinases (PI3K). By opposing PI3K signaling, PTEN inhibits the activation of the critical PI3K effector proteins Akt1-3 (also known as protein kinase B or PKB). Given its central role in antagonizing PI3K signaling, one might expect that like PI3K, the activity of the PTEN protein would be highly regulated by numerous protein/protein interactions. However, surprisingly little is known about such interactions. This fact, combined with the generally accepted notion that phosphatases are less exquisitely regulated than kinases, has led to the idea that PTEN may function in a relatively unregulated fashion. Here we review the identities and proposed functions of known PTEN-interacting proteins, and point out avenues of investigation that we hope may be fruitful in identifying important new mechanisms of PTEN regulation in mammalian cells.     

Detecting the coevolution of biosequences--an example of RNA interaction prediction

A probabilistic graphical model is proposed in order to detect the coevolution between different sites in biological sequences. The model extends the continuous-time Markov process of sequence substitution for single nucleic or amino acids and imposes general constraints regarding simultaneous changes on the substitution rate matrix. Given a multiple sequence alignment for each molecule of interest and a phylogenetic tree, the model can predict potential interactions within or between nucleic acids and proteins. Initial validation of the model is carried out using tRNA and 16S rRNA sequence data. The model accurately identifies the secondary interactions of tRNA as well as several known tertiary interactions. In addition, results on 16S rRNA data indicate this general and simple coevolutionary model outperforms several other parametric and nonparametric methods in predicting secondary interactions. Furthermore, the majority of the putative predictions exhibit either direct contact or proximity of the nucleotide pairs in the 3-dimensional structure of the Thermus thermophilus ribosomal small subunit. The results on RNA data suggest a general model of coevolution might be applied to other types of interactions between protein, DNA, and RNA molecules.     

Prediction-based fingerprints of protein-protein interactions

The recognition of protein interaction sites is an important intermediate step toward identification of functionally relevant residues and understanding protein function, facilitating experimental efforts in that regard. Toward that goal, the authors propose a novel representation for the recognition of protein-protein interaction sites that integrates enhanced relative solvent accessibility (RSA) predictions with high resolution structural data. An observation that RSA predictions are biased toward the level of surface exposure consistent with protein complexes led the authors to investigate the difference between the predicted and actual (i.e., observed in an unbound structure) RSA of an amino acid residue as a fingerprint of interaction sites. The authors demonstrate that RSA prediction-based fingerprints of protein interactions significantly improve the discrimination between interacting and noninteracting sites, compared with evolutionary conservation, physicochemical characteristics, structure-derived and other features considered before. On the basis of these observations, the authors developed a new method for the prediction of protein-protein interaction sites, using machine learning approaches to combine the most informative features into the final predictor. For training and validation, the authors used several large sets of protein complexes and derived from them nonredundant representative chains, with interaction sites mapped from multiple complexes. Alternative machine learning techniques are used, including Support Vector Machines and Neural Networks, so as to evaluate the relative effects of the choice of a representation and a specific learning algorithm. The effects of induced fit and uncertainty of the negative (noninteracting) class assignment are also evaluated. Several representative methods from the literature are reimplemented to enable direct comparison of the results. Using rigorous validation protocols, the authors estimated that the new method yields the overall classification accuracy of about 74% and Matthews correlation coefficients of 0.42, as opposed to up to 70% classification accuracy and up to 0.3 Matthews correlation coefficient for methods that do not utilize RSA prediction-based fingerprints. The new method is available at http://sppider.cchmc.org.     

Theoretical model of human apolipoprotein B100 tertiary structure

Low density lipoprotein (LDL) particles are the main cholesterol carriers in human plasma. The organization of the particle, composed of apolar lipids and phospholipid monolayer stabilized by apolipoprotein B100 (apoB), is highly complex and still unknown. ApoB is an extremely large protein (4563 amino acids) and very little is known about its structure. A 3D model of the N-terminal region has been recently proposed and has provided interesting insights about the physico-chemical properties of the protein and putative interaction zones with lipids. In the present article, we propose the first tentative 3D modelling for most remaining residues. All predicted features emerging from the models are confronted with agreement to experimental data available. Using different up-to-date prediction methods, we decomposed the protein into eight domains and predicted 3D structure for each of them. The analysis of hydrophobic patches, polar regions, coupled with functional predictions based on the 3D models, gives new clues to understanding of the functional role of apoB. We suggest precise regions putatively involved in the lipid interactions, and discuss the position of apoB on the LDL particle. Finally, we propose relative organization of the domains, providing a shape quite compatible with the low resolution electron microscopy map.     

Cation-aromatic database

Cation-aromatic database (CAD) is a publicly available web-based database that aims to provide further understanding of interaction between a cation and the pi interactions. A tool to identify the interactions in a user-given protein is also added to the database. CAD is freely accessible via the Internet at http://203.199.182.73/gnsmmg/databases/cad/.     

SIMPLE estimate of the free energy change due to aliphatic mutations: superior predictions based on first principles

The bioinformatics revolution of the last decade has been instrumental in the development of empirical potentials to quantitatively estimate protein interactions for modeling and design. Although computationally efficient, these potentials hide most of the relevant thermodynamics in 5-to-40 parameters that are fitted against a large experimental database. Here, we revisit this longstanding problem and show that a careful consideration of the change in hydrophobicity, electrostatics, and configurational entropy between the folded and unfolded state of aliphatic point mutations predicts 20-30% less false positives and yields more accurate predictions than any published empirical energy function. This significant improvement is achieved with essentially no free parameters, validating past theoretical and experimental efforts to understand the thermodynamics of protein folding. Our first principle analysis strongly suggests that both the solute-solute van der Waals interactions in the folded state and the electrostatics free energy change of exposed aliphatic mutations are almost completely compensated by similar interactions operating in the unfolded ensemble. Not surprisingly, the problem of properly accounting for the solvent contribution to the free energy of polar and charged group mutations, as well as of mutations that disrupt the protein backbone remains open.     

Cooperative propagation of local stability changes from low-stability and high-stability regions in a SH3 domain

Site-directed mutagenesis has been used to produce local stability changes at two regions of the binding site surface of the alpha-spectrin SH3 domain (Spc-SH3) differing in their intrinsic stability. Mutations were made at residue 56, located at the solvent-exposed side of the short 3(10) helix, and at residue 21 in the tip of the flexible RT-loop. NMR chemical-shift analysis and X-ray crystallography indicated negligible changes produced by the mutations in the native structure limited to subtle rearrangements near the mutated residue and at flexible loops. Additionally, mutations do not alter importantly the SH3 binding site structure, although produce significant changes in its affinity for a proline-rich decapeptide. The changes in global stability measured by differential scanning calorimetry are consistent the local energy changes predicted by theoretical models, with the most significant effects observed for the Ala-Gly mutations. Propagation of the local stability changes throughout the domain structure has been studied at a per-residue level of resolution by NMR-detected amide hydrogen-deuterium exchange (HX). Stability propagation is remarkably efficient in this small domain, apparently due to its intrinsically low stability. Nevertheless, the HX-core of the domain is not fully cooperative, indicating the existence of co-operative subunits within the core, which is markedly polarized. An equilibrium phi-analysis of the changes in the apparent Gibbs energies of HX per residue produced by the mutations has allowed us to characterize structurally the conformational states leading to HX. Some of these states resemble notably the folding transition state of the Spc-SH3 domain, suggesting a great potential of this approach to explore the folding energy landscape of proteins. An energy perturbation propagates more effectively from a flexible region to the core than in the opposite direction, because the former affects a broader region of the energy landscape than the latter. This might be of importance in understanding the special thermodynamic signature of the SH3-peptide interaction and the relevance of the dual character of SH3 binding sites.     

Oxygen affinity controlled by dynamical distal conformations: the soybean leghemoglobin and the Paramecium caudatum hemoglobin cases

The binding of diatomic ligands, such as O(2), NO, and CO, to heme proteins is a process intimately related with their function. In this work, we analyzed by means of a combination of classical Molecular Dynamics (MD) and Hybrid Quantum-Classical (QM/MM) techniques the existence of multiple conformations in the distal site of heme proteins and their influence on oxygen affinity regulation. We considered two representative examples: soybean leghemoglobin (Lba) and Paramecium caudatum truncated hemoglobin (PcHb). The results presented in this work provide a molecular interpretation for the kinetic, structural, and mutational data that cannot be obtained by assuming a single distal conformation.