Comprehensive Prediction of Protein Folding Class Based on Global Description of Amino Acid Sequence

Kim，Sung-Hou 9723352这项研究的目标是开发一种计算方法，用于预测任何没有明确识别的功能或与已知序列有显著同源性的蛋白质序列的折叠类别。这一方法将为基于序列同源性的方法解决蛋白质反向折叠问题提供一种替代和补充方案。这种计算方法将作为高精度的自动软件大规模使用，用于预测由人类和微生物基因组计划产生的新基因组序列的折叠类别。

Kim, Sung-Hou 9723352 The goal of this research is to develop a computational method for predicting the folding class for any protein sequence without a clearly identified function or significant homology to known sequences. This approach would provide an alternative and complementary scheme to sequence homology based methods for a solution to the inverse protein folding problem. This computational method will be used on a large scale as automatic software of high accuracy for the prediction of the folding class for new genomic sequences, generated by human and microbial genome projects.