Pandit Shashi Bhushan, Zhang Yang, Skolnick Jeffrey
Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, GA 30318, USA.
Biophys J. 2006 Dec 1;91(11):4180-90. doi: 10.1529/biophysj.106.084293. Epub 2006 Sep 8.
This study involves the development of a rapid comparative modeling tool for homologous sequences by extension of the TASSER methodology, developed for tertiary structure prediction. This comparative modeling procedure was validated on a representative benchmark set of proteins in the Protein Data Bank composed of 901 single domain proteins (41-200 residues) having sequence identities between 35-90% with respect to the template. Using a Monte Carlo search scheme with the length of runs optimized for weakly/nonhomologous proteins, TASSER often provides appreciable improvement in structure quality over the initial template. However, on average, this requires approximately 29 h of CPU time per sequence. Since homologous proteins are unlikely to require the extent of conformational search as weakly/nonhomologous proteins, TASSER's parameters were optimized to reduce the required CPU time to approximately 17 min, while retaining TASSER's ability to improve structure quality. Using this optimized TASSER (TASSER-Lite), we find an average improvement in the aligned region of approximately 10% in root mean-square deviation from native over the initial template. Comparison of TASSER-Lite with the widely used comparative modeling tool MODELLER showed that TASSER-Lite yields final models that are closer to the native. TASSER-Lite is provided on the web at (http://cssb.biology.gatech.edu/skolnick/webservice/tasserlite/index.html).
本研究涉及通过扩展用于三级结构预测的TASSER方法,开发一种用于同源序列的快速比较建模工具。这种比较建模程序在蛋白质数据库中一组具有代表性的蛋白质基准集上进行了验证,该基准集由901个单结构域蛋白质(41 - 200个残基)组成,与模板的序列同一性在35% - 90%之间。使用针对弱同源/非同源蛋白质优化了运行长度的蒙特卡罗搜索方案,TASSER通常能在初始模板的基础上显著提高结构质量。然而,平均而言,每个序列需要大约29小时的CPU时间。由于同源蛋白质不太可能像弱同源/非同源蛋白质那样需要广泛的构象搜索,因此对TASSER的参数进行了优化,以将所需的CPU时间减少到大约17分钟,同时保留TASSER提高结构质量的能力。使用这种优化后的TASSER(TASSER-Lite),我们发现在与天然结构的均方根偏差方面,比对区域相对于初始模板平均有大约10%的改善。将TASSER-Lite与广泛使用的比较建模工具MODELLER进行比较表明,TASSER-Lite产生的最终模型更接近天然结构。TASSER-Lite可在网页(http://cssb.biology.gatech.edu/skolnick/webservice/tasserlite/index.html)上获取。