Logo image
Predicting melting temperature directly from protein sequences
Journal article   Peer reviewed

Predicting melting temperature directly from protein sequences

Tienhsiung Ku, Peiyu Lu, Chenhsiung Chan, Tsusheng Wang, Szuming Lai, Pingchiang Lyu and Naiwan Hsiao
Computational Biology and Chemistry, Vol.33(6), pp.445-450
12/2009

Abstract

Dipeptide Genome Hyperthermophiles Prediction
Proteins of both hyperthermophilic and mesophilic microorganisms generally constitute from the same 20 amino acids; however, the extent of thermal tolerance of any given protein is an inherent property of its amino acid sequence. The present study is the first to report a rapid method for predicting Tm (melting temperature), the temperature at which 50% of the protein is unfolded, directly from protein sequences (the Tm Index program is available at http://tm.life.nthu.edu.tw/). We examined 75 complete microbial genomes using the Tm Index, and the analysis clearly differentiated hyperthermophilic from mesophilic microorganisms on this global genomic basis. These results are consistent with the previous hypothesis that hyperthermophiles express a greater number of high Tm proteins compared with mesophiles. The Tm Index will be valuable for modifying existing proteins (enzymes, protein drugs and vaccines) or designing novel proteins having a desired melting temperature. © 2009 Elsevier Ltd. All rights reserved.

Metrics

1 Record Views

Details

Logo image