Protein complex evolution

A study of yeast protein complexes, complexes of known three-dimensional structure in the Protein Data Bank and clusters of pair-wise protein interactions in the networks of several organisms revealed that duplication of homomeric interactions often results in the formation of complexes of paralogous proteins.

Coevolution of two coupled quasispecies is studied, motivated by the competition between viral evolution and adapting immune response. In this coadaptive model, besides the classical error catastrophe for high virus mutation rates, a second "adaptation" catastrophe occurs, when virus mutation rates are too small to escape immune attack. Maximizing both regimes of viral error catastrophes is a possible strategy for an optimal immune response, reducing the range of allowed viral mutation rates to a minimum. From this requirement, one obtains constraints on B-cell mutation rates and receptor lengths, yielding an estimate of somatic hypermutation rates in the germinal center in accordance with observation.

One of the most controversial policies in blood transfusion worldwide is the permanent deferral from donating blood of men with sexual contacts to other men (MSM). This policy was implemented for safety reasons as sex between men is known to be a high risk factor for acquiring severe infectious diseases transmissible by blood transfusion. Sexual contacts among heterosexual persons may hold similar risks but a clear-cut discrimination between different individual risks is impossible. Nevertheless, the current blood donor deferral periods defined by European Union (EU) legislation depend on a distinction of different grades of risk with respect to sexual behaviour. Under the aegis of the Steering Committee on Blood Transfusion (CD-P-TS) of the Council of Europe (CoE), an international working group evaluated epidemiological and behavioural data, modelling studies on residual risk and spread of infections, and studies on adherence to donor selection criteria. The aim was to distinguish sexual behaviour of different risk categories. It was concluded, that existing data confirm that MSM and commercial sex workers (CSW) are groups at high risk. Any further grading lacks a scientific data base. Modelling studies indicate that adherence to deferral policies is of major relevance suggesting that good donor adherence may outweigh the small negative effects on blood safety postulated for changing from permanent to temporary deferral periods for high risk sexual behaviours. The fact that a considerable percentage of donors are MSM - despite the permanent deferral policy - demonstrates the need to increase donor understanding and adherence.

Based on a recent model of evolving viruses competing with an adapting immune system (Kamp and

The contact structure between hosts shapes disease spread. Most network-based models used in epidemiology tend to ignore heterogeneity in the weighting of contacts between two individuals. However, this assumption is known to be at odds with the data for many networks (e.g. sexual contact networks) and to have a critical influence on epidemics' behavior. One of the reasons why models usually ignore heterogeneity in transmission is that we currently lack tools to analyze weighted networks, such that most studies rely on numerical simulations. Here, we present a novel framework to estimate key epidemiological variables, such as the rate of early epidemic expansion () and the basic reproductive ratio (), from joint probability distributions of number of partners (contacts) and number of interaction events through which contacts are weighted. These distributions are much easier to infer than the exact shape of the network, which makes the approach widely applicable. The framework also allows for a derivation of the full time course of epidemic prevalence and contact behaviour, which we validate with numerical simulations on networks. Overall, incorporating more realistic contact networks into epidemiological models can improve our understanding of the emergence and spread of infectious diseases.