Jones D T, Taylor W R, Thornton J M
Department of Biochemistry and Molecular Biology, University College, London, UK.
Nature. 1992 Jul 2;358(6381):86-9. doi: 10.1038/358086a0.
The prediction of protein tertiary structure from sequence using molecular energy calculations has not yet been successful; an alternative strategy of recognizing known motifs or folds in sequences looks more promising. We present here a new approach to fold recognition, whereby sequences are fitted directly onto the backbone coordinates of known protein structures. Our method for protein fold recognition involves automatic modelling of protein structures using a given sequence, and is based on the frameworks of known protein folds. The plausibility of each model, and hence the degree of compatibility between the sequence and the proposed structure, is evaluated by means of a set of empirical potentials derived from proteins of known structure. The novel aspect of our approach is that the matching of sequences to backbone coordinates is performed in full three-dimensional space, incorporating specific pair interactions explicitly.
利用分子能量计算从序列预测蛋白质三级结构尚未成功;在序列中识别已知基序或折叠的另一种策略看起来更有前景。我们在此提出一种新的折叠识别方法,即直接将序列与已知蛋白质结构的主链坐标进行拟合。我们的蛋白质折叠识别方法涉及使用给定序列对蛋白质结构进行自动建模,并且基于已知蛋白质折叠的框架。通过一组从已知结构蛋白质推导出来的经验势来评估每个模型的合理性,进而评估序列与所提出结构之间的匹配程度。我们方法的新颖之处在于,序列与主链坐标的匹配是在完整的三维空间中进行的,明确纳入了特定的对相互作用。