RESUMO
Our information-driven docking approach HADDOCK is a consistent top predictor and scorer since the start of its participation in the CAPRI community-wide experiment. This sustained performance is due, in part, to its ability to integrate experimental data and/or bioinformatics information into the modelling process, and also to the overall robustness of the scoring function used to assess and rank the predictions. In the CASP-CAPRI Round 1 scoring experiment we successfully selected acceptable/medium quality models for 18/14 of the 25 targets - a top-ranking performance among all scorers. Considering that for only 20 targets acceptable models were generated by the community, our effective success rate reaches as high as 90% (18/20). This was achieved using the standard HADDOCK scoring function, which, thirteen years after its original publication, still consists of a simple linear combination of intermolecular van der Waals and Coulomb electrostatics energies and an empirically derived desolvation energy term. Despite its simplicity, this scoring function makes sense from a physico-chemical perspective, encoding key aspects of biomolecular recognition. In addition to its success in the scoring experiment, the HADDOCK server takes the first place in the server prediction category, with 16 successful predictions. Much like our scoring protocol, because of the limited time per target, the predictions relied mainly on either an ab initio center-of-mass and symmetry restrained protocol, or on a template-based approach whenever applicable. These results underline the success of our simple but sensible prediction and scoring scheme. Proteins 2017; 85:417-423. © 2016 Wiley Periodicals, Inc.
Assuntos
Algoritmos , Biologia Computacional/métodos , Simulação de Acoplamento Molecular/estatística & dados numéricos , Proteínas/química , Benchmarking , Sítios de Ligação , Cristalografia por Raios X , Bases de Dados de Proteínas , Simulação de Acoplamento Molecular/métodos , Ligação Proteica , Conformação Proteica , Mapeamento de Interação de Proteínas , Projetos de Pesquisa , Software , Eletricidade Estática , Homologia Estrutural de Proteína , TermodinâmicaRESUMO
The present research is based on the premise that magnetic fields stimulate biological tissues, as many international works assert. They believe in the real aid of this therapeutical treatment in orthopedy and traumatology. The authors work in Rehabilitation Department of a traumatological hospital, so they have studied therapeutical results in ELF magnetotherapy on their patients for as long as six months.
