Stephan Lorenzen

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Most state-of-the-art protein-protein docking algorithms use the Fast Fourier Transform (FFT) technique to sample the six-dimensional translational and rotational space. Scoring functions including shape complementarity, electrostatics, and desolvation are usually exploited in ranking the docking conformations. While these rigid-body docking methods provide(More)
There is a debate on the folding of proteins with inverted sequences. Theoretical approaches and experiments give contradictory results. Many proteins in the Protein Data Bank (PDB) show conspicuous inverse sequence similarity (ISS) to each other. Here we analyze whether this ISS is related to structural similarity. For the first time, we performed a large(More)
In proteins and peptides, the vast majority of peptide bonds occurs in trans conformation, but a considerable fraction (about 5%) of X-Pro bonds adopts the cis conformation. Here we study the conservation of cis prolyl residues in evolutionary related proteins. We find that overall, in contrast to local, protein sequence similarity is a clear indicator for(More)
RHYTHM is a web server that predicts buried versus exposed residues of helical membrane proteins. Starting from a given protein sequence, secondary and tertiary structure information is calculated by RHYTHM within only a few seconds. The prediction applies structural information from a growing data base of precalculated packing files and evolutionary(More)
SUMMARY The Structural Alignment Program STRAP is a comfortable comprehensive editor and analyzing tool for protein alignments. A wide range of functions related to protein sequences and protein structures are accessible with an intuitive graphical interface. Recent features include mapping of mutations and polymorphisms onto structures and production of(More)
Structures of hitherto unknown protein complexes can be predicted by docking the solved protein monomers. Here, we present a method to refine initial docking estimates of protein complex structures by a Monte Carlo approach including rigid-body moves and side-chain optimization. The energy function used is comprised of van der Waals, Coulomb, and atomic(More)
A major challenge of the protein docking problem is to define scoring functions that can distinguish near-native protein complex geometries from a large number of non-native geometries (decoys) generated with noncomplexed protein structures (unbound docking). In this study, we have constructed a neural network that employs the information from atom-pair(More)
In Portugal, entomological surveys to detect phleboviruses in their natural vectors have not been performed so far. Thus, the aims of the present study were to detect, isolate and characterize phleboviruses in sandfly populations of Portugal. From May to October 2007–2008, 896 female sandflies were trapped in Arrábida region, located on the southwest coast(More)
Since protein complex crystallization is expensive and time-consuming, computational docking tools provide a valuable method to investigate protein interactions. While the sampling of possible docked conformers of two proteins can be performed efficiently by Fast Fourier Transform (FFT) methods, the selection of near-native decoys from the pool of thousands(More)
Prolonged and sustained stimulation of the hypothalamo-pituitary-adrenal axis have adverse effects on numerous brain regions, including the cerebellum. Motor coordination and motor learning are essential for animal and require the regulation of cerebellar neurons. The G-protein-coupled cannabinoid CB1 receptor coordinates synaptic transmission throughout(More)