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Predicting Melting Temperature Directly from Protein Sequences by Tienhsiung Ku; Peiyu Lu; Chenhsiung Chan; Tsusheng Wang; Szuming Lai; Pingchiang Lyu; Naiwan Hsiao is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Predicting Melting Temperature Directly from Protein Sequences about?
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.
Who reads Predicting Melting Temperature Directly from Protein Sequences?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Tienhsiung Ku; Peiyu Lu; Chenhsiung Chan; Tsusheng Wang; Szuming Lai; Pingchiang Lyu; Naiwan Hsiao
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 1476-9271)
- Published
- 2009
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)