Computer-aided design of functional protein interactions.
Predictive methods for the computational design of proteins search for amino acid sequences adopting desired structures that perform specific functions. Typically, design of 'function' is formulated as engineering new and altered binding activities into proteins. Progress in the design of functional protein-protein interactions is directed toward engineering proteins to precisely control biological processes by specifically recognizing desired interaction partners while avoiding competitors. The field is aiming for strategies to harness recent advances in high-resolution computational modeling-particularly those exploiting protein conformational variability-to engineer new functions and incorporate many functional requirements simultaneously.
Graduate Program in Bioinformatics and Computational Biology, California Institute for Quantitative Biosciences, and Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, USA.
Daniel J
DJ
Mandell
Tanja
T
Kortemme
D001686:Biological Phenomena / Q000502:physiology; D002384:Catalysis; D017076:Computer-Aided Design; D019281:Dimerization; D008958:Models, Molecular; D010455:Peptides / Q000737:chemistry; D011487:Protein Conformation; D015202:Protein Engineering / Q000379:methods; D055503:Protein Multimerization; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D012107:Research Design; D015398:Signal Transduction
D010455:Peptides; D011506:Proteins