Computational characterization of proteins.
Computational characterization of proteins is a necessary first step in understanding the biologic role of a protein. The composite architecture of mammalian proteins makes the prediction of the biologic role rather difficult. Nevertheless, integration of many different prediction methods allows for a more accurate representation. Information on the 3D structure of a protein improves the reliability of predictions of many features. This article reviews existing methods used to characterize proteins and several tools that provide an integrated access to different types of information. The authors point out the increasing importance of structural constraints and an increasing need to integrate different approaches.
Bienkowska
Jadwiga
J
Serono Reproductive Biology Institute, One Technology Pl., Rockland, MA 02370, USA. Jadwiga.Bienkowska@serono.com
D019295:Computational Biology; D011499:Protein Processing, Post-Translational; D020836:Protein Structure, Quaternary; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000502:physiology*; D016415:Sequence Alignment
D011506:Proteins