Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Bioessays. 2019 Aug;41(8):e1800252. doi: 10.1002/bies.201800252. Epub 2019 Jul 11.
Membrane proteins perform a variety of functions, all crucially dependent on their orientation in the membrane. However, neither the exact number of transmembrane domains (TMDs) nor the topology of most proteins have been experimentally determined. Due to this, most scientists rely primarily on prediction algorithms to determine topology and TMD assignments. Since these can give contradictory results, single-algorithm-based predictions are unreliable. To map the extent of potential misanalysis, the predictions of nine algorithms on the yeast proteome are compared and it is found that they have little agreement when predicting TMD number and termini orientation. To view all predictions in parallel, a webpage called TopologYeast: http://www.weizmann.ac.il/molgen/TopologYeast was created. Each algorithm is compared with experimental data and a poor agreement is found. The analysis suggests that more systematic data on protein topology are required to increase the training sets for prediction algorithms and to have accurate knowledge of membrane protein topology.
膜蛋白具有多种功能,所有功能都严重依赖于其在膜中的定向。然而,大多数蛋白质的跨膜结构域 (TMD) 的确切数量和拓扑结构尚未通过实验确定。正因为如此,大多数科学家主要依靠预测算法来确定拓扑结构和 TMD 分配。由于这些算法可能会给出相互矛盾的结果,因此基于单一算法的预测是不可靠的。为了确定潜在误分析的程度,比较了 9 种算法对酵母蛋白质组的预测,发现它们在预测 TMD 数量和末端定向方面几乎没有一致性。为了并行查看所有预测,创建了一个名为 TopologYeast 的网页:http://www.weizmann.ac.il/molgen/TopologYeast。将每种算法与实验数据进行比较,发现它们之间的一致性很差。该分析表明,需要更多关于蛋白质拓扑结构的系统数据来增加预测算法的训练集,并准确了解膜蛋白的拓扑结构。