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Abstract: Metadynamics is a powerful computational tool to obtain the free-energy landscape of complex systems. The Monte Carlo algorithm has proven useful to calculate thermodynamic quantities associated with simplified models of proteins, and thus to gain an ever-increasing understanding on the general principles underlying the mechanism of protein folding. We show that it is possible to couple metadynamics and Monte Carlo algorithms to obtain the free energy of model proteins in a way which is computationally very economical. [Copyright &y& Elsevier]

Unlabelled: The aims of the study were to measure the paediatric, off-label use of drugs in the Italian hospital setting and to reveal areas for priority intervention by investigating the therapeutic indications most involved. Prescriptions given to all children admitted to nine general paediatric hospital wards from December 1998 to February 1999 were analysed. In total, 4265 prescriptions were given to 1461 children, 10 of which were unlicensed and excluded from further analysis. Sixty percent of prescriptions (range between centres: 44-71%) were off-label and concerned 89% of children receiving medications (80-96%). The main drug classes were antibacterials, antiasthmatics and analgesics, and represented 56% of off-label prescriptions. Paracetamol (385 prescriptions) and beclomethasone (339) were the generic substances most often used off-label. The most common off-label categories were dosage/frequency (50% of prescriptions), indication and lack of paediatric licence (7% each). Fifty-four per cent of all indications that led to off-label prescribing involved only respiratory problems, fever, respiratory tract infections and bronchospasm.Conclusions: Despite prescription profile differences among centres, off-label use was high everywhere. Immediate action for more rational drug use is necessary and requires not only regulatory intervention but also a more evidence-based, therapeutic approach. [ABSTRACT FROM AUTHOR]

A novel way to inhibit HIV-1 protease by destabilizing its native state is discussed. A simplified protein model is used together with Monte Carlo simulations, to assess the destabilizing effect of peptides displaying the same sequence as specific fragments of the protein which are essential for its stability. Model calculations also show that it is unlikely that the protein can escape the inhibitory peptide by point mutations. [ABSTRACT FROM AUTHOR]