Better drugs, improved industrial applications and even cleaner laundry may be possible with a new computer method to predict which hybrid enzymes are likely to have high activity, according to a team of Penn State chemists and chemical engineers.
"FamClash is quite successful at qualitatively predicting the pattern of the specific activity of the hybrids," the researchers report in this weeks online issue of the Proceedings of the National Academy of Sciences. "By identifying incompatible residue pairs in the hybrids, this method provides valuable insights for protein engineering interventions to remedy these clashes," the researchers say. FamClash is a computer method used to predict which hybrid enzymes are likely to have activity and which are not. Hybrid enzymes form when researchers combine similar enzymes from two or more different organisms. The variant enzymes are broken and recombined with parts from the original enzymes creating the new one.
"We have worked out ways to make libraries of novel enzymes by splicing proteins together," says Alexander R. Horswill, postdoctoral fellow in chemistry. "We wanted to know how active the new enzymes would be compared to the wild type."
A’ndrea Elyse Messer | EurekAlert!
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A team of scientists of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science in Hamburg investigated optically-induced superconductivity in the alkali-doped fulleride K3C60under high external pressures. This study allowed, on one hand, to uniquely assess the nature of the transient state as a superconducting phase. In addition, it unveiled the possibility to induce superconductivity in K3C60 at temperatures far above the -170 degrees Celsius hypothesized previously, and rather all the way to room temperature. The paper by Cantaluppi et al has been published in Nature Physics.
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