The scaling of colony size with nest volume in termites: a role in population dynamics?

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PRASA: An integrated web server that analyzes protein interaction types

This work presents the Protein Association Analyzer (PRASA) (http://zoro.ee.ncku.edu.tw/prasa/) that predicts protein interactions as well as interaction types. Protein interactions are essential to most biological functions. The existence of diverse interaction types, such as physically contacted or functionally related interactions, makes protein interactions complex. Different interaction types are distinct and should not be confused. However, most existing tools focus on a specific interaction type or mix different interaction types. This work collected 7234058 associations with experimentally verified interaction types from five databases and compiled individual probabilistic models for different interaction types. The PRASA result page shows predicted associations and their related references by interaction type. Experimental results demonstrate the performance difference when distinguishing between different interaction types. The PRASA provides a centralized and organized platform for easy browsing, downloading and comparing of interaction types, which helps reveal insights into the complex roles that proteins play in organisms.     

Prediction of protein domain boundaries from inverse covariances

It has been known even since relatively few structures had been solved that longer protein chains often contain multiple domains, which may fold separately and play the role of reusable functional modules found in many contexts. In many structural biology tasks, in particular structure prediction, it is of great use to be able to identify domains within the structure and analyze these regions separately. However, when using sequence data alone this task has proven exceptionally difficult, with relatively little improvement over the naive method of choosing boundaries based on size distributions of observed domains. The recent significant improvement in contact prediction provides a new source of information for domain prediction. We test several methods for using this information including a kernel smoothing‐based approach and methods based on building alpha‐carbon models and compare performance with a length‐based predictor, a homology search method and four published sequence‐based predictors: DOMCUT, DomPRO, DLP‐SVM, and SCOOBY‐DOmain. We show that the kernel‐smoothing method is significantly better than the other ab initio predictors when both single‐domain and multidomain targets are considered and is not significantly different to the homology‐based method. Considering only multidomain targets the kernel‐smoothing method outperforms all of the published methods except DLP‐SVM. The kernel smoothing method therefore represents a potentially useful improvement to ab initio domain prediction. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Catalytic activity of iron phthalocyanine for the oxidation of thiocyanate and L-cysteine anchored on Au(111) clusters

ABSTRACT

We studied the oxidation reactions of thiocyanate and L-cysteine on iron phthalocyanine (FePc) coupled via a bridging ligand of the 4-mercatopyridine (4MP) type to a gold cluster (Au₂₆), aiming to simulate a modified gold electrode. Theoretical models have been used based on the framework of density functional theory. Several mechanistic pathways are explored for the study of these reactions, finding that the most favorable mechanism involves an electron transfer process as the rate-determining step. Along the process, the ability of the gold cluster to act as an electron acceptor facilitating the reactions was detected. In addition, the proposed models presented a correlation between the energy obtained for the rate-determining step of the reaction and the experimental oxidation potentials of the thiocyanate and L-cysteine.     

Molecular structure,spectroscopic (FT-IR,FT-Raman,UV–vis), NBO,thermochemistry analysis of bis(thiourea)zinc(II) chloride crystals

The experimental and theoretical studies on the molecular structure and vibrational spectra of bis(thiourea)zinc(II) chloride (BTZC) crystals were investigated. The Fourier transform infrared, Fourier transform Raman and UV–vis spectra of BTZC were recorded. The molecular geometry and vibrational frequencies of BTZC in the ground state were calculated by using B3LYP with LANL2DZ as basis set. Comparison of the observed structural parameters of BTZC with single-crystal X-ray studies yields a good agreement. Vibrational analysis of the simultaneous IR and Raman activation of the Zn–Cl stretching mode in the molecule provides the evidence for the charge transfer interaction taking place within the molecule. The energy and oscillator strength are calculated by time-dependent density functional theory. The simulated spectra satisfactorily coincide with the experimental spectra.     

Study of the stability of aluminium trimeric clusters in aqueous solutions

Ab initio molecular dynamics (AIMD) based on density functional theory has been used to study small aluminium–oxygen complexes in water. Such Al–O clusters have been seen in several recent mass spectrometry studies. In this study, we have focused on trimeric Al–O clusters. The initial very compact trimeric Al–O structures opened up and formed linear Al–O chains. The typical Al–O coordination number in these chain structures was 5. We have performed long (up to 200 ps) AIMD simulations and these chain structures are stable on the nanosecond time scale. We have also studied the reactivity of the Al–O dimer and solvated Al. We found a formation path for the trimeric cluster, which has a action barrier (0.04 eV) and a reaction free energy of ? 0.55 eV. This suggests that the association of a dimer and a monomer Al–O species is fast and thermodynamically a very favourable process.     

Excited state intramolecular proton transfer in 3-hydroxychromone: a DFT-based computational study

Potential energy (PE) curves for intramolecular proton transfer in the ground (GSIPT) and intramolecular proton transfer in the excited (ESIPT) states of 3-hydroxychromone (3HC) have been studied using DFT-B3LYP/6-31G(d,p) and TD-DFT/6-31G(d,p) level of theory, respectively. Our calculations suggest the non-viability of GSIPT in 3HC. Excited states PE calculations show the existence of ESIPT process in 3HC. ESIPT in 3HC has also been explained in terms of HOMO and LUMO electron densities of the enol and keto tautomers of 3HC.     

Population density analysis for determining the protonation state of the catalytic dyad in BACE1-tertiary carbinamine-based inhibitor complex

BACE1 is an aspartyl protease with a very relevant role in medicinal chemistry related to Alzheimer Disease since it has demonstrated to be a promising therapeutic target for inhibition and possible control for the progress of the peptide accumulation characteristic of this pathology. The enzymatic activity of this protein is given by the aspartic dyad, Asp93 and Asp289, which can adopt several protonation states depending on the chemical nature of its inhibitors, this is, monoprotonated, diprotonated and di-deprotonated states. In the present study, the analysis of the population density, for a series of protein-inhibitor molecular dynamics simulations, was carried out to identify the most feasible protonation state adopted by the catalytic dyad in the presence of tertiary carbinamine (TC) transition state analog inhibitors. The results revealed that the monoprotonated Asp289i state, in which the Asp93 and Asp289 residue side chains are deprotonated and protonated on the inner oxygen, respectively, is the most preferred in the presence of TC family inhibitors. This result was obtained after evaluating, for all 9 possible protonation state configurations, the individual and combined population densities of a set of parameters sensitive to protonation state of the Aspartic dyad, using an X-ray experimental BACE1/TC crystallographic structure as reference. This case study demonstrates again the usefulness of the concept of population density as a quantitative tool to establish the most stable system settings, among all possible, by measuring the level of occurrence of simultaneous events obtained from a sampling over time. These results will help to clear the phenomena related to the TCs inhibitory pathway, as well as assist in the design of better TC inhibitors against Alzheimer’s protease.