Forster Mark J
Informatics Laboratory, National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Hertfordshire, UK.
Micron. 2002;33(4):365-84. doi: 10.1016/s0968-4328(01)00035-x.
Molecular modelling is a powerful methodology for analysing the three dimensional structure of biological macromolecules. There are many ways in which molecular modelling methods have been used to address problems in structural biology. It is not widely appreciated that modelling methods are often an integral component of structure determination by NMR spectroscopy and X-ray crystallography. In this review we consider some of the numerous ways in which modelling can be used to interpret and rationalise experimental data and in constructing hypotheses that can be tested by experiment. Genome sequencing projects are producing a vast wealth of data describing the protein coding regions of the genome under study. However, only a minority of the protein sequences thus identified will have a clear sequence homology to a known protein. In such cases valuable three-dimensional models of the protein coding sequence can be constructed by homology modelling methods. Threading methods, which used specialised schemes to relate protein sequences to a library of known structures, have been shown to be able to identify the likely protein fold even in cases where there is no clear sequence homology. The number of protein sequences that cannot be assigned to a structural class by homology or threading methods, simply because they belong to a previously unidentified protein folding class, will decrease in the future as collaborative efforts in systematic structure determination begin to develop. For this reason, modelling methods are likely to become increasingly useful in the near future. The role of the blind prediction contests, such as the Critical Assessment of techniques for protein Structure Prediction (CASP), will be briefly discussed. Methods for modelling protein-ligand and protein-protein complexes are also described and examples of their applications given.
分子建模是分析生物大分子三维结构的一种强大方法。分子建模方法已被用于解决结构生物学中的问题,其方式多种多样。人们并未广泛认识到,建模方法常常是核磁共振光谱法和X射线晶体学确定结构过程中不可或缺的组成部分。在本综述中,我们将探讨建模可用于解释实验数据并使其合理化以及构建可通过实验检验的假设的众多方式中的一些。基因组测序项目正在产生大量有关所研究基因组蛋白质编码区域的数据。然而,如此确定的蛋白质序列中只有少数与已知蛋白质具有明确的序列同源性。在这种情况下,可以通过同源建模方法构建有价值的蛋白质编码序列三维模型。穿线法使用专门的方案将蛋白质序列与已知结构库相关联,已证明即使在没有明确序列同源性的情况下也能够识别可能的蛋白质折叠。仅仅因为属于以前未鉴定的蛋白质折叠类别而无法通过同源或穿线方法归入结构类别的蛋白质序列数量,随着系统结构确定方面的合作努力开始发展,未来将会减少。因此,建模方法在不久的将来可能会变得越来越有用。我们还将简要讨论诸如蛋白质结构预测技术关键评估(CASP)之类的盲测竞赛的作用。本文还描述了蛋白质 - 配体和蛋白质 - 蛋白质复合物的建模方法,并给出了其应用实例。