Hubbard T, Tramontano A
Instituto di Ricerche di Biologia Molecolare (IRBM), Pomezia, Roma, Italy.
Fold Des. 1996;1(3):R55-63. doi: 10.1016/S1359-0278(96)00028-4.
Computational tools for protein structure prediction are of great interest to molecular, structural and theoretical biologists due to a rapidly increasing number of protein sequences with no known structure. In October 1995, a workshop was held at IRBM to predict as much as possible about a number of proteins of biological interest using ab initio prediction of fold recognition methods. 112 protein sequences were collected via an open invitation for target submissions. 17 were selected for prediction during the workshop and for 11 of these a prediction of some reliability could be made. We believe that this was a worthwhile experiment showing that the use of a range of independent prediction methods and thorough use of existing databases can lead to credible and useful ab initio structure predictions.
由于未知结构的蛋白质序列数量迅速增加,蛋白质结构预测的计算工具引起了分子生物学家、结构生物学家和理论生物学家的极大兴趣。1995年10月,在意大利欧洲分子生物学研究院(IRBM)举办了一次研讨会,旨在通过从头预测或折叠识别方法尽可能多地预测一些具有生物学意义的蛋白质。通过公开征集目标序列,收集到了112个蛋白质序列。在研讨会上挑选了17个进行预测,其中11个能够做出具有一定可靠性的预测。我们认为这是一次有价值的实验,表明使用一系列独立的预测方法并充分利用现有数据库能够得出可信且有用的从头结构预测结果。