4.7 Article

Tuning λ6-85 towards downhill folding at its melting temperature

期刊

JOURNAL OF MOLECULAR BIOLOGY
卷 370, 期 3, 页码 574-584

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2007.04.036

关键词

lambda repressor; free energy landscape; intermediate; fluorescence; temperature jump

向作者/读者索取更多资源

The five-helix bundle lambda(*)(6-85) is a fast two-state folder. Several stabilized mutants have been reported to fold kinetically near-downhill or downhill. These mutants undergo a transition to two-state folding kinetics when heated. It has been suggested that this transition is caused by increased hydrophobicity at higher temperature. Here we investigate two histidine-containing mutants of lambda(*)(6-85) to see if a weaker hydrophobic core can extend the temperature range of downhill folding. The very stable lambda HA is the fastest-folding lambda repressor to date (k(f)(-1)approximate to k(obs)(-1) = 2.3 mu s at 44 degrees C. It folds downhill at low temperature, but transits back to two-state folding at its unfolding midpoint. lambda HG has a weakened hydrophobic core. It is less stable than some slower folding mutants of lambda(*)(6-85), and it has more exposed hydrophobic surface area in the folded state. This mutant nonetheless folds very rapidly, and has the non-exponential folding kinetics of an incipient downhill folder even at the unfolding midpoint (k(m)(-1)approximate to 2 mu s, k(a)(-1)= 15 mu s at 56 degrees C. We also compare the thermodynamic melting transition of lambda HG with the nominal two-state folding mutant lambda QG, which has a similar melting temperature. Unlike lambda QG, lambda HG yields fluorescence wavelength-dependent cooperativities and probe-dependent melting temperatures. This result combined with previous work shows that the energy landscapes of lambda repressor mutants support all standard folding mechanisms. (c) 2007 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据