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EN
A realistic prediction of the structure of protein-protein complexes is of major importance to obtain three-dimensional models for the interaction of proteins to form complexes and assemblies. In addition to the systematic search for putative binding sites on the surface of two binding partners, the second step of a docking effort, the refinement of docked complexes, is a major bottleneck to obtain realistic interaction geometries. Typically, the first initial systematic search employs rigid partner structures or few flexible degrees of freedom, whereas the refinement step involves fully flexible partner structures. The possibility to refine docked complexes using restraint MD simulations combined with an implicit solvent (Generalized Born) mode l was explored on three example test complexes starting from unbound partner structures. Significant improvement, both in scoring and agreement with the native complex structure after refinement was observed for two test cases. No improvement was found for a test case of a complex with lower binding affinity. The method can be easily applied to any docked protein-protein complex, however, more general applicability requires further improvements in the scoring function.
EN
Specific recognition between proteins plays a crucial role in a great number of vital processes. In this review different types of protein-protein complexes are analyzed on the basis of their three-dimensional structures which became available in recent years. The complexes which are analyzed include: those resulting from different types of recognition between proteinase and protein inhibitor (canonical inhibitors of serine proteinases, hirudin, inhibitors of cysteine proteinases, carboxypeptidase inhibitor), barnase-barstar, human growth hormone-receptor and antibody-antigen. It seems obvious that specific and strong protein-protein recognition is achieved in many different ways. To further explore this question, the structural information was analyzed together with kinetic and thermodynamic data available for the respective complexes. It appears that the energy and rates of specific recognition of proteins are influenced by many different factors, including: area of interacting surfaces; complementarity of shapes, charges and hydrogen bonds; water structure at the interface; conformational changes; additivity and cooperativity of individ­ual interactions, steric effects and various (conformational, hydration) entropy changes.
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